# memory_history

id: 1f972d19-79d8-4a59-b782-c8034709374f
memory_id: b535cb36-8c00-4662-baea-502a3604cb5e
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:16:51.606Z
reason:
  Candidate [5] already contains this exact information: 'Ingest Pipeline Refactoring in progress at packages/core/src/ingest/' as part of active project status

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The Ingest Pipeline Refactoring project is currently in progress at packages/core/src/ingest/","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 51bb3282-d90e-4c3f-8217-eebeb648ef8c
memory_id: b535cb36-8c00-4662-baea-502a3604cb5e
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:16:51.606Z
reason:
  Candidate [4] already documents dashboard development status at packages/cli/dashboard with additional technical details (Svelte 5 + Tailwind v4). New fact is fully subsumed.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Dashboard development is currently active at packages/cli/dashboard","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 8b36885c-aa17-47d4-8cb1-e72c86a48076
memory_id: b535cb36-8c00-4662-baea-502a3604cb5e
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:16:51.606Z
reason:
  This fact is already comprehensively covered by candidate #4 (ee72deef-eaeb-4b97-b47c-629cece9f722), which specifies the dashboard uses Svelte 5 + Tailwind v4 plus additional tech details (bits-ui, CodeMirror 6, 3d-force-graph). No new information to add.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.98,"fact":{"content":"The dashboard in packages/cli/dashboard uses Svelte 5 and Tailwind v4 for development","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: d0a431c5-ddba-41a1-9e1b-d22a80a3da3d
memory_id: c70b1fa1-cae3-47cd-b5eb-a5bca5b1dfbd
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T15:17:48.506Z
actor_type: pipeline
old_content:
  The SessionStart hook successfully loads Signet agent configuration including memory database and identity files at session initialization

new_content:
  Signet daemon session initialization loads project context, memory artifacts, and identity configuration from the ~/.agents/ directory

reason:
  New fact refines existing procedural memory [3] with greater specificity about ~/.agents/ directory as the source and clearer terminology (project context, memory artifacts) describing the same session initialization pattern


id: caeee15a-6a3f-4274-990e-4bc9e180a5f5
memory_id: b4ae5757-bcaa-414e-9288-83f9139d8ba7
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:17:48.507Z
reason:
  New fact refines existing procedural memory [3] with greater specificity about ~/.agents/ directory as the source and clearer terminology (project context, memory artifacts) describing the same session initialization pattern

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"c70b1fa1-cae3-47cd-b5eb-a5bca5b1dfbd","targetContent":"The SessionStart hook successfully loads Signet agent configuration including memory database and identity files at session initialization","confidence":0.85,"fact":{"content":"Signet daemon session initialization loads project context, memory artifacts, and identity configuration from the ~/.agents/ directory","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":2,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":"c70b1fa1-cae3-47cd-b5eb-a5bca5b1dfbd","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: e7b161e7-599d-4b98-b9f5-fa965223d7a1
memory_id: b4ae5757-bcaa-414e-9288-83f9139d8ba7
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:17:48.507Z
reason:
  Candidate [1] already establishes that signetai is a bun workspace monorepo. The new fact about modular packages and daemon component is already well-documented in project CLAUDE.md files and is redundant with existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Signet is a monorepo project (signetai) with modular packages including a daemon component","type":"fact","confidence":0.9},"extractionModel":"haiku","factCount":2,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 3043f9f3-cd54-4da5-9f6d-de60527b8ab5
memory_id: 67634173-4f1f-45a0-ae7c-2af429d330f9
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:19:08.422Z
reason:
  Candidate #1 already captures this exact information: 'utility extraction tasks are part of the Signet ingest pipeline refactoring effort to eliminate code duplication and standardize LLM provider integration.' The new fact restates the same scope without adding new details.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.85,"fact":{"content":"The Ingest Pipeline Refactoring work item involves extracting common utilities and standardizing LLM provider integration across the Signetai ingest pipeline","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 7c80d319-30a2-441f-bef8-d5e5f3a2c452
memory_id: 67634173-4f1f-45a0-ae7c-2af429d330f9
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:19:08.422Z
reason:
  Candidate [5] already explicitly covers this fact: 'ProtonMail MCP Server Setup—completed, awaiting Claude Code session restart' is mentioned as an active project context item. New fact is redundant with existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"ProtonMail MCP Server Setup has been completed but awaits a Claude Code session restart to activate the MCP integration","type":"decision","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 8d9114ae-b35d-491e-a339-560bdff6255b
memory_id: 42829efe-4745-407f-ba42-6e8ea8613bbc
event: created
changed_by: pipeline-v2
created_at: 2026-02-25T15:19:08.423Z
new_content:
  Ingestion Pipeline PR #25 cherry-pick has had fixes applied to chat parsers, database interfaces, and PDF/Slack parsers, with a migration script pending creation and testing

reason:
  New fact documents PR #25 cherry-pick status (fixes applied, migration pending). Candidates cover related but distinct topics: Candidate 1 is about planned chat utilities refactoring architecture, Candidate 2 is about DB access patterns. None directly capture this PR status information.

metadata:
  {"proposedAction":"add","sourceMemoryId":"67634173-4f1f-45a0-ae7c-2af429d330f9","decisionConfidence":0.85,"factConfidence":0.85,"extractionModel":"haiku"}


id: c9cc0dc1-250b-4a00-966f-c443cb249230
memory_id: 67634173-4f1f-45a0-ae7c-2af429d330f9
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:19:08.423Z
reason:
  New fact documents PR #25 cherry-pick status (fixes applied, migration pending). Candidates cover related but distinct topics: Candidate 1 is about planned chat utilities refactoring architecture, Candidate 2 is about DB access patterns. None directly capture this PR status information.

metadata:
  {"shadow":false,"proposedAction":"add","targetMemoryId":null,"targetContent":null,"confidence":0.85,"fact":{"content":"Ingestion Pipeline PR #25 cherry-pick has had fixes applied to chat parsers, database interfaces, and PDF/Slack parsers, with a migration script pending creation and testing","type":"procedural","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":6,"createdMemoryId":"42829efe-4745-407f-ba42-6e8ea8613bbc","updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 94444d44-2ce7-45d1-9a4f-df17b00a8616
memory_id: 67634173-4f1f-45a0-ae7c-2af429d330f9
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:19:08.423Z
reason:
  Candidate #5 (ID: 67634173...) already captures this exact fact in detail: it explicitly lists the three ongoing work items (Ingest Pipeline Refactoring, ProtonMail MCP Server Setup, Ingestion Pipeline PR #25) and states that no progress was made on any of them during the session. The new fact is a more abstract version of information already fully documented.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.98,"fact":{"content":"Three ongoing work items from previous sessions were recognized but no progress was made on any of them during the current session","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 87425bcb-df48-4d94-939e-c92f7753812e
memory_id: 4beb4ac7-81a2-431d-9b9d-a31f2805ab0f
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:20:42.362Z
reason:
  Candidate [1] already captures this fact with near-identical specificity: 'Rust-based cross-attention model that trains locally on each user's memory-session interactions.' The new fact adds no novel information beyond what's already stored.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The Signet Predictive Memory Scorer is a Rust-based cross-attention model that trains locally on each user's memory-session interactions","type":"semantic","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 82586343-f15d-40d0-b39c-59a319db0e25
memory_id: 4beb4ac7-81a2-431d-9b9d-a31f2805ab0f
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:20:42.362Z
reason:
  New fact is already covered by candidate [3], which explicitly states the Predictive Memory Scorer's purpose as predicting which memories to surface, along with architectural details (Rust-based, cross-attention model, local training). No additional information requires a new memory or update.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"The Signet Predictive Memory Scorer's purpose is to predict which memories should be surfaced to the user in the memory pipeline","type":"semantic","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 0216d707-3451-485d-8e77-62df21bcb503
memory_id: 4beb4ac7-81a2-431d-9b9d-a31f2805ab0f
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:20:42.362Z
reason:
  Existing candidates [2], [4], and [5] already comprehensively capture this fact. Candidate [4] is particularly explicit: 'trains locally with no cloud infrastructure or shared weights.' The new fact is a restatement of core architectural principle already documented.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The Signet Predictive Memory Scorer trains locally on individual user data rather than using a centralized global model","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":5,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 87115fa9-d202-494c-a5e3-e5bf6769ef35
memory_id: 4beb4ac7-81a2-431d-9b9d-a31f2805ab0f
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:20:42.363Z
reason:
  Candidate [4] already comprehensively covers this fact - it explicitly describes the Predictive Memory Scorer as a north-star component and documents its architecture (Rust-based cross-attention model trained on user memory-session interactions). The new fact is subsumed by existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The Signet Predictive Memory Scorer is designated as a north-star (strategic priority) component in the memory pipeline architecture","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":5,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 564ffc66-7737-4720-bfcd-d09c63218932
memory_id: c65f5d0c-386c-4320-b4c3-bdc085c587d4
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T15:20:42.363Z
actor_type: pipeline
old_content:
  The predictive-memory-scorer.md captures this elegantly: a per-user model trained on interaction history that learns what makes memories relevant, what temporal patterns matter, and which memories actually helped. Critically, this model trains locally with no cloud infrastructure or shared weights.

new_content:
  Local per-user training was chosen for the Predictive Memory Scorer to enable personalized memory prediction and adaptation to individual memory-session interaction patterns

reason:
  New fact provides explicit rationale for local per-user training design choice (personalization + adaptation to interaction patterns). Candidate 5 already describes the local training approach but lacks the motivational framing. Merging adds completeness by capturing both implementation and design rationale.


id: e5002cde-90ec-453b-a596-4c71ce8e9541
memory_id: 4beb4ac7-81a2-431d-9b9d-a31f2805ab0f
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:20:42.365Z
reason:
  New fact provides explicit rationale for local per-user training design choice (personalization + adaptation to interaction patterns). Candidate 5 already describes the local training approach but lacks the motivational framing. Merging adds completeness by capturing both implementation and design rationale.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"c65f5d0c-386c-4320-b4c3-bdc085c587d4","targetContent":"The predictive-memory-scorer.md captures this elegantly: a per-user model trained on interaction history that learns what makes memories relevant, what temporal patterns matter, and which memories actually helped. Critically, this model trains locally with no cloud infrastructure or shared weights.","confidence":0.88,"fact":{"content":"Local per-user training was chosen for the Predictive Memory Scorer to enable personalized memory prediction and adaptation to individual memory-session interaction patterns","type":"rationale","confidence":0.85},"extractionModel":"haiku","factCount":5,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":"c65f5d0c-386c-4320-b4c3-bdc085c587d4","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: dff36f0c-4f5c-40ca-a957-90ac8c9451c1
memory_id: 0d3ac915-7cf3-4aff-9e97-5bf8e50d8451
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:22:22.132Z
reason:
  Existing memory [3] (ID: 0d3ac915-7cf3-4aff-9e97-5bf8e50d8451) already explicitly documents RRF ranking fusion as a key decision and contrasts it with linear blending. The new fact is fully covered.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"RRF (Reciprocal Rank Fusion) ranking fusion is used instead of linear blending for combining ranked results","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":6,"entityCount":8,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 0ea368fd-53e4-4498-95e9-cfd2d948eec1
memory_id: 0d3ac915-7cf3-4aff-9e97-5bf8e50d8451
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:22:22.133Z
reason:
  Candidate [5] already covers this fact explicitly: 'NDCG-based success tracking where the predictor earns its influence by proving it beats the baseline'. The new fact restates an existing key decision already documented in the preferences.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":"0d3ac915-7cf3-4aff-9e97-5bf8e50d8451","targetContent":"Key decisions: RRF ranking fusion (not linear blending), NDCG-based success tracking where the predictor earns its influence by proving it beats the baseline, listwise ranking loss, real-time agent preference signals (unicode + JSON tag), and a session_memories join table prerequisite (currently missing from the codebase).","confidence":0.95,"fact":{"content":"NDCG (Normalized Discounted Cumulative Gain) is used as the success metric for tracking ranking predictor performance","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":6,"entityCount":8,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 0899f153-d139-44c0-8061-caeee78ce5ee
memory_id: 0d3ac915-7cf3-4aff-9e97-5bf8e50d8451
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:22:22.133Z
reason:
  Candidate [4] already explicitly captures this concept: 'NDCG-based success tracking where the predictor earns its influence by proving it beats the baseline.' The new fact is a restatement of existing memory content.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The ranking predictor earns influence over results by demonstrating it outperforms the baseline, evaluated via NDCG","type":"rationale","confidence":0.85},"extractionModel":"haiku","factCount":6,"entityCount":8,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 7c4f6b6a-9e66-4784-9331-2ba279a848fc
memory_id: 0d3ac915-7cf3-4aff-9e97-5bf8e50d8451
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:22:22.133Z
reason:
  Listwise ranking loss is already documented in candidate [4] as a key decision for the Predictive Memory Scorer training objective. The new fact adds no new information beyond what's already captured.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Listwise ranking loss is used as the training objective for the ranking predictor model","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":6,"entityCount":8,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 3db332c4-02bd-42fd-96b7-4cd37a0d24af
memory_id: 0d3ac915-7cf3-4aff-9e97-5bf8e50d8451
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T15:22:22.133Z
actor_type: pipeline
old_content:
  Key decisions: RRF ranking fusion (not linear blending), NDCG-based success tracking where the predictor earns its influence by proving it beats the baseline, listwise ranking loss, real-time agent preference signals (unicode + JSON tag), and a session_memories join table prerequisite (currently missing from the codebase).

new_content:
  Real-time agent preference signals are captured using unicode characters and JSON tags as the encoding format

reason:
  New fact directly refines the existing preference entry about real-time agent preference signals. The new fact specifies the encoding mechanism (unicode characters and JSON tags) for what's already documented as a key decision. Merge these for a more complete record.


id: cc93cc91-4ee7-4f19-b3fa-52a0cc98f69f
memory_id: 0d3ac915-7cf3-4aff-9e97-5bf8e50d8451
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:22:22.134Z
reason:
  New fact directly refines the existing preference entry about real-time agent preference signals. The new fact specifies the encoding mechanism (unicode characters and JSON tags) for what's already documented as a key decision. Merge these for a more complete record.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"0d3ac915-7cf3-4aff-9e97-5bf8e50d8451","targetContent":"Key decisions: RRF ranking fusion (not linear blending), NDCG-based success tracking where the predictor earns its influence by proving it beats the baseline, listwise ranking loss, real-time agent preference signals (unicode + JSON tag), and a session_memories join table prerequisite (currently missing from the codebase).","confidence":0.92,"fact":{"content":"Real-time agent preference signals are captured using unicode characters and JSON tags as the encoding format","type":"procedural","confidence":0.85},"extractionModel":"haiku","factCount":6,"entityCount":8,"createdMemoryId":null,"updatedMemoryId":"0d3ac915-7cf3-4aff-9e97-5bf8e50d8451","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 89ae7d3c-0b05-434a-9d93-31f2f1da8ee1
memory_id: 0d3ac915-7cf3-4aff-9e97-5bf8e50d8451
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:22:22.134Z
reason:
  Candidate [1] already contains this exact fact as part of the key architectural decisions for the ranking system. The session_memories join table prerequisite is documented there with the same context.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.98,"fact":{"content":"The session_memories join table is a required prerequisite for the ranking system but is currently missing from the codebase","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":6,"entityCount":8,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 22824ff8-f205-4c4d-b738-f3316ad1b352
memory_id: 5b49778e-ae07-448c-bf20-ad09fdcd87a1
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:23:37.276Z
reason:
  Candidate [4] already documents this fact explicitly: 'Plan includes 8 delegated agents with explicit acceptance criteria.' The new fact is fully covered by existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The predictive memory scorer plan includes 8 delegated agents, each with explicit acceptance criteria","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 86d65ca9-c906-4a2a-a187-74bae7a52c0f
memory_id: 5b49778e-ae07-448c-bf20-ad09fdcd87a1
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:23:37.276Z
reason:
  New fact is already captured in candidate [5], which explicitly states 'ACAN reference cloned to references/acan/'. No additional memory needed.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"ACAN reference code has been cloned to the references/acan/ directory","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 5ed9cf74-36c6-4f68-aca9-5251905ac61f
memory_id: 5b49778e-ae07-448c-bf20-ad09fdcd87a1
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:23:37.276Z
reason:
  Candidate [3] already captures this exact information: 'Memory-R1 paper analyzed (no public code)'. The new fact is redundant with existing memory content.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The Memory-R1 paper has been analyzed for the predictive memory scorer plan and does not have publicly available code","type":"semantic","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 753c6ed8-db7b-463f-a094-5cc84cdac7ac
memory_id: dc156795-3ecb-43d7-86e7-a0ff8d6ed902
event: created
new_content: The predictive memory scorer plan is documented at docs/wip/predictive-memory-scorer.md
changed_by: pipeline-v2
created_at: 2026-02-25T15:23:37.277Z
reason:
  New fact provides specific file location/path for predictive memory scorer documentation. Existing candidates [3-5] cover the concept, vision, and gap analysis, but none store the concrete path. This is actionable reference information worth capturing separately.

metadata:
  {"proposedAction":"add","sourceMemoryId":"5b49778e-ae07-448c-bf20-ad09fdcd87a1","decisionConfidence":0.85,"factConfidence":0.95,"extractionModel":"haiku"}


id: f9e28c45-bf72-4f06-8721-1d19b875b891
memory_id: 5b49778e-ae07-448c-bf20-ad09fdcd87a1
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:23:37.277Z
reason:
  New fact provides specific file location/path for predictive memory scorer documentation. Existing candidates [3-5] cover the concept, vision, and gap analysis, but none store the concrete path. This is actionable reference information worth capturing separately.

metadata:
  {"shadow":false,"proposedAction":"add","targetMemoryId":null,"targetContent":null,"confidence":0.85,"fact":{"content":"The predictive memory scorer plan is documented at docs/wip/predictive-memory-scorer.md","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":"dc156795-3ecb-43d7-86e7-a0ff8d6ed902","updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 3e30ce1d-a3fc-4caa-bbd9-06a8af748d9f
memory_id: a94f48d1-ad74-4bc4-bb7c-a32dbc6aa6ad
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:24:08.314Z
reason:
  Existing memories [2] and [3] already capture this exact north star definition: 'the difference between a tool that remembers and a mind that persists.' The new fact restates the same concept with slightly different framing (emphasizing 'persistent identity and continuity') but adds no new semantic content.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.98,"fact":{"content":"Signet's north star feature is conceptualized as 'the difference between a tool that remembers and a mind that persists', representing the core architectural vision of achieving persistent identity and continuity rather than mere information retention","type":"semantic","confidence":0.95},"extractionModel":"haiku","factCount":1,"entityCount":1,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 499a1189-605e-4e17-8e3c-0ddfec0b6d40
memory_id: 751bf9ac-a028-4e2c-a6b9-4f5afb2926a1
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:24:59.558Z
reason:
  Candidate [3] directly describes this exact concept: Signet's core mechanism as 'a memory prediction algorithm that learns to surface the most relevant memories based on context, sentiment, and moment.' The new fact is a condensed restatement of existing memory with no new information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Signet's core mechanism is a memory prediction algorithm that learns to identify and surface the most relevant memories based on available context","type":"semantic","confidence":0.85},"extractionModel":"haiku","factCount":2,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: c7faaf6a-f5dd-4e95-829b-a2980d41a3d8
memory_id: 751bf9ac-a028-4e2c-a6b9-4f5afb2926a1
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:24:59.559Z
reason:
  Candidate #3 (751bf9ac...) already captures the core concept: the memory prediction algorithm learns to surface memories based on context, sentiment, and moment. The new fact restates these three factors in more explicit/structured form, but the information is already present in existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.85,"fact":{"content":"The Signet memory prediction algorithm determines memory relevance by considering three key factors: (1) context, (2) sentiment, and (3) moment/temporal context","type":"procedural","confidence":0.8},"extractionModel":"haiku","factCount":2,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: f519f02c-03c1-4ef2-b828-09c38a856528
memory_id: 6f6af659-333c-4417-b165-d65d5c7847e7
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:25:46.626Z
reason:
  Candidate [3] already captures this exact concept: 'The conversation framed Signet not as a static memory system but as an inference engine that predicts optimal recall strategies.' New fact is a restatement of the core reconceptualization already documented.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"Signet is being reconceptualized from a static memory system to an inference engine that predicts optimal recall strategies for each user","type":"semantic","confidence":0.85},"extractionModel":"haiku","factCount":2,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 54e40ab0-56ed-48ee-a180-9e2885a4766f
memory_id: 6f6af659-333c-4417-b165-d65d5c7847e7
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:25:46.627Z
reason:
  New fact is already captured in existing memory [3], which explicitly states: 'Key proposal: implement a Rust-based transformer model trained locally and unique per user.' Related implementation details are further detailed in [1], [4], and [5]. No new information to capture.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"A proposal exists to implement a Rust-based transformer model for Signet that would be trained locally and unique per user to optimize recall strategy prediction","type":"decision","confidence":0.8},"extractionModel":"haiku","factCount":2,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 48963f02-9595-49f8-8b45-4a0c47a49cea
memory_id: 43cacb81-afc2-4503-aadd-8e9d37e6861b
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:26:58.509Z
reason:
  Candidate [3] (43cacb81) already captures this exact fact: 'This model would train progressively on accumulated memories and session histories, making real-time memory injection predictions at two critical moments: session start and on user prompt submit events.'

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The memory injection model trains progressively on accumulated memories and session histories","type":"procedural","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 02757da1-a0f1-4d26-a054-c7a9d6e20c9c
memory_id: 43cacb81-afc2-4503-aadd-8e9d37e6861b
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:26:58.510Z
reason:
  Candidate [4] already states: 'making real-time memory injection predictions at two critical moments: session start and on user prompt submit events.' The new fact is a subset of existing knowledge about the Predictive Memory Scorer's injection timing.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Real-time memory injection predictions are generated at session start","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: d9202a11-1de0-449c-adff-53866959faed
memory_id: 43cacb81-afc2-4503-aadd-8e9d37e6861b
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:26:58.510Z
reason:
  New fact is already covered in candidate [3] (ID: 43cacb81-afc2-4503-aadd-8e9d37e6861b), which explicitly states: 'making real-time memory injection predictions at two critical moments: session start and on user prompt submit events.' No update or new storage needed.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Real-time memory injection predictions are generated on user prompt submit events","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: bd5dd987-1f8a-4b60-a648-4e19a594c7fe
memory_id: 43cacb81-afc2-4503-aadd-8e9d37e6861b
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:26:58.510Z
reason:
  Candidate [4] already captures this exact fact in its final sentence: 'The inference pipeline pattern from MicroGPT was referenced as a potential design guide.' No new information to add.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The MicroGPT inference pipeline pattern was referenced as a design guide for implementing the real-time memory injection prediction system","type":"procedural","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 7c13dfdc-7a31-4dd4-8874-b9282cb802a6
memory_id: 81fe60e7-6184-44a7-8c11-7007519bcd82
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:27:43.109Z
reason:
  Existing memories [2] and [4] already contain the identical core insight: Signet's north star is persistent memory/mind functionality ('the difference between a tool that remembers and a mind that persists'). New fact adds no novel information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Signet's vision positions persistent memory/mind functionality as its north star feature—the core differentiator that defines the project","type":"semantic","confidence":0.8},"extractionModel":"haiku","factCount":2,"entityCount":2,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: c623b5ce-6549-43de-8456-a0b374469d28
memory_id: a94f48d1-ad74-4bc4-bb7c-a32dbc6aa6ad
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T15:27:43.109Z
actor_type: pipeline
old_content:
  This feature is the north star for Signet - "the difference between a tool that remembers and a mind that persists."

new_content:
  Signet conceptually distinguishes between a tool that remembers (episodic recall of facts) and a mind that persists (continuous agent identity with contextual continuity)

reason:
  New fact is a more detailed articulation of the same core distinction already captured in [2]. Merging adds valuable specificity: episodic recall (tool function) vs continuous identity (agent persistence). This strengthens the north star concept with clearer operational definitions.


id: 2e9c3a32-20b0-4ed9-b282-38eb12cbfeac
memory_id: 81fe60e7-6184-44a7-8c11-7007519bcd82
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:27:43.111Z
reason:
  New fact is a more detailed articulation of the same core distinction already captured in [2]. Merging adds valuable specificity: episodic recall (tool function) vs continuous identity (agent persistence). This strengthens the north star concept with clearer operational definitions.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"a94f48d1-ad74-4bc4-bb7c-a32dbc6aa6ad","targetContent":"This feature is the north star for Signet - \"the difference between a tool that remembers and a mind that persists.\"","confidence":0.85,"fact":{"content":"Signet conceptually distinguishes between a tool that remembers (episodic recall of facts) and a mind that persists (continuous agent identity with contextual continuity)","type":"semantic","confidence":0.75},"extractionModel":"haiku","factCount":2,"entityCount":2,"createdMemoryId":null,"updatedMemoryId":"a94f48d1-ad74-4bc4-bb7c-a32dbc6aa6ad","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 4cb64806-3a8e-407a-823e-f5d521722f87
memory_id: e709db27-aef4-45c1-9981-af8af0c58fff
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:28:45.754Z
reason:
  Existing memory [5] (ID: e709db27-aef4-45c1-9981-af8af0c58fff) already captures this exact scenario: 'Nicholai tasked Claude to find and fix bugs in the signetai codebase'. The new fact provides no additional information beyond what's already stored.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Nicholai has tasked Claude with finding and fixing bugs in the signetai codebase","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 6426b183-26b9-4ffe-b6e1-241a5fc1e786
memory_id: e709db27-aef4-45c1-9981-af8af0c58fff
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T15:28:45.754Z
actor_type: pipeline
old_content:
[cell repeats an earlier one in this file: 145 characters]

new_content:
  Bug fixes in the signetai codebase should prioritize issues that break functionality over non-critical or cosmetic issues

reason:
  New fact expresses the same prioritization strategy (functionality-breaking issues over cosmetic ones) that was established during the bug hunt session. Should be reframed as an ongoing preference rather than session-specific task.


id: db29f251-516a-4b33-ae34-5bcf082fbb91
memory_id: e709db27-aef4-45c1-9981-af8af0c58fff
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:28:45.754Z
reason:
  New fact expresses the same prioritization strategy (functionality-breaking issues over cosmetic ones) that was established during the bug hunt session. Should be reframed as an ongoing preference rather than session-specific task.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"e709db27-aef4-45c1-9981-af8af0c58fff","targetContent":"## Bug Hunt Session Initiated Nicholai tasked Claude to find and fix bugs in the signetai codebase, prioritizing issues that break functionality.","confidence":0.85,"fact":{"content":"Bug fixes in the signetai codebase should prioritize issues that break functionality over non-critical or cosmetic issues","type":"preference","confidence":0.9},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":"e709db27-aef4-45c1-9981-af8af0c58fff","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 5e8c4c90-eb81-468a-b39a-b23954d295b4
memory_id: e709db27-aef4-45c1-9981-af8af0c58fff
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:28:45.754Z
reason:
  Existing memory [5] already captures that a bug hunt session is active, with details about prioritizing functionality fixes. New fact is redundant and already covered.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"A bug hunt session is currently active for the signetai project","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: ffea0b34-2311-4955-8e64-bc959814bd47
memory_id: 147826fa-e0ea-4410-b029-53e06172aaae
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T15:30:01.988Z
actor_type: pipeline
old_content:
[cell repeats an earlier one in this file: 278 characters]

new_content:
  Signet implements unified search that combines skills.sh API search with client-side filtering of a cached ClawHub catalog

reason:
  New fact is a cleaner, self-contained restatement of the architectural decision already captured in candidate [5]. Candidate [5] appears truncated; the new fact provides the same information in complete, memorable form.


id: a8aec151-2c0a-4505-8a54-1c8d1c07cae9
memory_id: 147826fa-e0ea-4410-b029-53e06172aaae
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:30:01.988Z
reason:
  New fact is a cleaner, self-contained restatement of the architectural decision already captured in candidate [5]. Candidate [5] appears truncated; the new fact provides the same information in complete, memorable form.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"147826fa-e0ea-4410-b029-53e06172aaae","targetContent":"**Unified search** (skills.sh API search + client-side filtering of cached ClawHub catalog) **Execution Order**: 1. Backend: Add ClawHub cache + fetch logic in `packages/daemon/src/daemon.ts` 2. Backend: Update `/api/skills/browse` and `/api/skills/search` to merge providers 3.","confidence":0.92,"fact":{"content":"Signet implements unified search that combines skills.sh API search with client-side filtering of a cached ClawHub catalog","type":"decision","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":"147826fa-e0ea-4410-b029-53e06172aaae","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 09e1feea-7469-4067-ace4-d22ffbd43da6
memory_id: 147826fa-e0ea-4410-b029-53e06172aaae
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:30:01.988Z
reason:
  Candidate [2] (ID: 45d2876f-0159-4acc-a6c4-f5f790554bcf) already states the identical fact: 'ClawHub cache and fetch logic is added to packages/daemon/src/daemon.ts as part of the unified skills search implementation'. The new fact is a restatement with no additional information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"ClawHub cache and fetch logic is implemented in packages/daemon/src/daemon.ts","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 188cce66-d75d-47fe-bd73-5f34673eeccd
memory_id: 147826fa-e0ea-4410-b029-53e06172aaae
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:30:01.988Z
reason:
  Candidate 3 (ID: 455cb002...) already covers this exact information: '/api/skills/browse' and '/api/skills/search' endpoints are updated to merge multiple skill provider sources. The new fact is redundant and less specific than the existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The /api/skills/browse endpoint is updated to merge multiple skill provider sources","type":"procedural","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: d50737ff-0700-4e89-a622-8a49867ca062
memory_id: 147826fa-e0ea-4410-b029-53e06172aaae
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:30:01.988Z
reason:
  Candidate [3] (ID: 455cb002-2fed-425d-b691-d9de42e7a4b0) already comprehensively covers this: 'The `/api/skills/browse` and `/api/skills/search` endpoints are updated to merge multiple skills provider sources (skills.sh and ClawHub)'. The new fact about `/api/skills/search` merging multiple providers is already fully captured by this existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The /api/skills/search endpoint is updated to merge multiple skill provider sources","type":"procedural","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: be482e53-2185-45c0-8c02-426f26d629c6
memory_id: 4b4daedf-3d1e-4012-a8d5-14b5a90cdfad
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:31:04.515Z
reason:
  New fact is already comprehensively covered by candidate [5], which describes the same action (launching Explore agent for context gathering on navigation structure, site architecture, tech stack, design aesthetic) with additional session context. No new information to add.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":"4b4daedf-3d1e-4012-a8d5-14b5a90cdfad","targetContent":"The assistant began the session by launching an Explore agent to understand the current navigation structure, site architecture, tech stack, and existing design aesthetic before proposing a redesign. The session focused on discovery and context-gathering rather than implementation.","confidence":0.92,"fact":{"content":"The assistant launched an Explore agent to gather context on site navigation structure, architecture, tech stack, and existing design aesthetic prior to proposing a redesign","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: ec791447-02d4-497a-8403-e1d569be1595
memory_id: 4b4daedf-3d1e-4012-a8d5-14b5a90cdfad
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:31:04.515Z
reason:
  Candidate [5] already explicitly captures this exact insight: 'The session focused on discovery and context-gathering rather than implementation.' The new fact is a restatement of existing memory content with high overlap.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The session prioritized discovery and context-gathering over immediate implementation","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":3,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 7e1a9a05-a81d-4560-8753-8be5c1722fbf
memory_id: 4b4daedf-3d1e-4012-a8d5-14b5a90cdfad
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:31:04.515Z
reason:
  Candidate [4] (ID: 4ef135b0...) already captures this exact rationale: 'Context-first approach was chosen for the redesign workflow: gather information about navigation structure, site architecture, tech stack, and design aesthetic before implementation'. The new fact is semantically equivalent and adds no new information beyond what's already documented.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"Context-gathering on navigation structure, architecture, tech stack, and design aesthetic should precede redesign proposals","type":"rationale","confidence":0.85},"extractionModel":"haiku","factCount":3,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: f422fce9-2bdc-426d-ab69-a3c8be4fc738
memory_id: b28ceb05-4bb9-4bc3-8dab-a7d4555d6402
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T15:32:24.401Z
actor_type: pipeline
old_content:
[cell repeats an earlier one in this file: 140 characters]

new_content:
  The GitHub Actions release workflow (.github/workflows/release.yml) was modified to automatically generate a CHANGELOG.md file during the CI release process using scripts/changelog.ts

reason:
  New fact refines existing candidate [5] with specific implementation details (scripts/changelog.ts, .github/workflows/release.yml path). Both describe the same changelog generation feature in the release CI workflow. Update to include specifics.


id: 1afa2a80-4665-4340-a85a-ceefa6d3c61c
memory_id: b28ceb05-4bb9-4bc3-8dab-a7d4555d6402
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:32:24.401Z
reason:
  New fact refines existing candidate [5] with specific implementation details (scripts/changelog.ts, .github/workflows/release.yml path). Both describe the same changelog generation feature in the release CI workflow. Update to include specifics.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"b28ceb05-4bb9-4bc3-8dab-a7d4555d6402","targetContent":"CI workflow modification adds changelog generation to release process, appending CHANGELOG.md to the release commit alongside version bumps.","confidence":0.92,"fact":{"content":"The GitHub Actions release workflow (.github/workflows/release.yml) was modified to automatically generate a CHANGELOG.md file during the CI release process using scripts/changelog.ts","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":"b28ceb05-4bb9-4bc3-8dab-a7d4555d6402","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 2ec3be14-d175-49ae-97f5-0c28cac51fb7
memory_id: b28ceb05-4bb9-4bc3-8dab-a7d4555d6402
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:32:24.401Z
reason:
  Candidate [5] already captures this exact procedural knowledge: 'CI workflow modification adds changelog generation to release process, appending CHANGELOG.md to the release commit alongside version bumps.' The new fact restates the same behavior with minor wording differences.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The generated CHANGELOG.md file is appended to the release commit alongside automatic version bumps across all package.json files","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: c2d3b41f-53a9-4511-972b-ceb9d5b6abc9
memory_id: d505afb4-a80f-4a32-bfec-81ef307ce372
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T15:32:24.401Z
actor_type: pipeline
old_content:
  The GitHub Actions release.yml workflow automatically commits version bumps and pushes them back to the repository with git tags

new_content:
  The CI release workflow follows a 5-step sequence: (1) build all packages, (2) bump patch version, (3) generate changelog, (4) publish to npm, (5) commit version bump and push with tags

reason:
  New fact provides comprehensive 5-step procedural sequence that substantially expands the existing brief statement about version bumps and tags. Includes the npm publishing step and full workflow ordering, making it a more complete and useful memory.


id: 86fcf79c-4415-463b-9393-139e85e6f62f
memory_id: b28ceb05-4bb9-4bc3-8dab-a7d4555d6402
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:32:24.402Z
reason:
  New fact provides comprehensive 5-step procedural sequence that substantially expands the existing brief statement about version bumps and tags. Includes the npm publishing step and full workflow ordering, making it a more complete and useful memory.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"d505afb4-a80f-4a32-bfec-81ef307ce372","targetContent":"The GitHub Actions release.yml workflow automatically commits version bumps and pushes them back to the repository with git tags","confidence":0.85,"fact":{"content":"The CI release workflow follows a 5-step sequence: (1) build all packages, (2) bump patch version, (3) generate changelog, (4) publish to npm, (5) commit version bump and push with tags","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":3,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":"d505afb4-a80f-4a32-bfec-81ef307ce372","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: f4e10a7f-0ffd-4630-bc7a-03fbe89ed2d9
memory_id: db7d4cf2-4c58-44e3-a5a3-3cde59d89233
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:33:26.824Z
reason:
  Candidate 5 (ID: db7d4cf2-4c58-44e3-a5a3-3cde59d89233) already captures this exact interest with greater specificity. Both refer to discovering Steam API endpoints beyond store pages for integrating live data (version numbers, release dates, update status, player counts). The new fact is a restatement of existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Nicholai is interested in discovering Steam API endpoints beyond basic store page data for integrating live, dynamic content into his website","type":"preference","confidence":0.9},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 6341d1ba-a06e-4ab2-a9bf-55c7f941f0e9
memory_id: db7d4cf2-4c58-44e3-a5a3-3cde59d89233
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:33:26.824Z
reason:
  New fact is nearly identical to candidate [4], which already captures Nicholai's preference to integrate Steam metadata (version numbers, release dates, update status, player counts) into his website. No new information to add.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Nicholai wants to surface Steam game metadata including version numbers, release dates, update status, and player counts as live data on his website","type":"preference","confidence":0.9},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 29968ae7-9334-464a-b040-d176cc5dc280
memory_id: db7d4cf2-4c58-44e3-a5a3-3cde59d89233
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T15:33:26.824Z
actor_type: pipeline
old_content:
[cell repeats an earlier one in this file: 212 characters]

new_content:
  Steam provides API endpoints that expose game metadata beyond simple store pages (version numbers, release dates, update status, player counts)

reason:
  New fact directly confirms and resolves the question in candidate 5. Merge to create complete record: Steam API does expose the metadata endpoints (version numbers, release dates, update status, player counts) that Nicholai wanted to integrate into his website.


id: af858e66-1e70-48c8-b767-4d760e225cf4
memory_id: db7d4cf2-4c58-44e3-a5a3-3cde59d89233
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:33:26.825Z
reason:
  New fact directly confirms and resolves the question in candidate 5. Merge to create complete record: Steam API does expose the metadata endpoints (version numbers, release dates, update status, player counts) that Nicholai wanted to integrate into his website.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"db7d4cf2-4c58-44e3-a5a3-3cde59d89233","targetContent":"Nicholai was interested in discovering what Steam endpoints are available beyond simple store pages that could feed live data into the website (version numbers, release dates, update status, player counts, etc.).","confidence":0.95,"fact":{"content":"Steam provides API endpoints that expose game metadata beyond simple store pages (version numbers, release dates, update status, player counts)","type":"fact","confidence":0.8},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":"db7d4cf2-4c58-44e3-a5a3-3cde59d89233","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: ece34d6e-48de-450e-8f50-c9718c27001d
memory_id: c5bbd75c-036b-4c94-b6e2-e60167e75c88
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:34:36.322Z
reason:
  Candidate #5 (c5bbd75c-036b-4c94-b6e2-e60167e75c88) already captures this exact comprehensive exploration with identical scope: schema coupling, server actions, component organization, library modules, agent tools, route structure, and environment configuration. New fact is redundant with existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"A comprehensive codebase exploration was initiated for the Compass project to analyze schema coupling between core and construction-specific tables, server actions separation, component organization, library modules, agent tools categorization, route structure, and environment configuration","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 7e031c55-5f0e-41ac-89bc-0098ff4d6fc1
memory_id: c5bbd75c-036b-4c94-b6e2-e60167e75c88
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:34:36.322Z
reason:
  The new fact reinforces what's already captured: candidate [2] states the principle that exploration is necessary before design decisions, and candidate [5] describes the specific action taken for Compass. This decision validates the existing approach without adding new information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.85,"fact":{"content":"The Compass codebase exploration is preparatory work required before planning a refactoring strategy","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":3,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: f8ee3704-cfd5-4677-a378-1404bb800fce
memory_id: c5bbd75c-036b-4c94-b6e2-e60167e75c88
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:34:36.322Z
reason:
  New fact is already comprehensively covered by candidate [c5bbd75c-036b-4c94-b6e2-e60167e75c88], which explicitly documents the queuing of an Explore agent for Compass codebase analysis with schema coupling as a primary focus. The existing memory is more detailed and self-contained.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"An exploration agent was queued to analyze the Compass codebase structure and identify coupled schemas between core and construction-specific database tables","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":3,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 020dee54-1ac0-4b8b-b5da-fefc214ab30f
memory_id: c7a5b88a-4283-4b82-bed8-7a220f4a9906
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:35:41.922Z
reason:
  Candidate [3] already documents this feature: 'The feature addresses legacy databases that accumulated memories without the extraction pipeline' - same core concept with additional context about content_hash deduplication constraints

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"A feature is being developed to address legacy databases that accumulated memories without processing through the extraction pipeline","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":3,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 5b69841f-2005-461c-9416-c9426b7f5776
memory_id: c7a5b88a-4283-4b82-bed8-7a220f4a9906
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:35:41.922Z
reason:
  New fact is substantially identical to existing candidate 4 (rationale: write-time deduplication via content_hash, not retroactive) and candidate 5 (fact: exact duplicates caught at write time via content_hash constraints). The technical core is already captured in memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The current memory deduplication system catches only exact duplicates at write time using content_hash uniqueness constraints in the database","type":"fact","confidence":0.85},"extractionModel":"haiku","factCount":3,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 3a168576-e404-43a1-b7e7-d7abb270f18d
memory_id: c7a5b88a-4283-4b82-bed8-7a220f4a9906
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T15:35:41.922Z
actor_type: pipeline
old_content:
[cell repeats an earlier one in this file: 196 characters]

new_content:
  Legacy databases contain accumulated memories that bypassed the extraction pipeline, leaving them vulnerable to duplicate detection gaps beyond exact matches

reason:
  New fact refines existing candidate [5] by clarifying the nature of the vulnerability: legacy databases have duplicate detection gaps that extend beyond exact hash matches (fuzzy/semantic duplicates), not just accumulated without extraction pipeline oversight.


id: 5f28eea7-c13d-4988-a679-6072d9aa19de
memory_id: c7a5b88a-4283-4b82-bed8-7a220f4a9906
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:35:41.922Z
reason:
  New fact refines existing candidate [5] by clarifying the nature of the vulnerability: legacy databases have duplicate detection gaps that extend beyond exact hash matches (fuzzy/semantic duplicates), not just accumulated without extraction pipeline oversight.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"c7a5b88a-4283-4b82-bed8-7a220f4a9906","targetContent":"The feature addresses legacy databases that accumulated memories without the extraction pipeline, which currently only catch exact duplicates at write time via content_hash uniqueness constraints.","confidence":0.85,"fact":{"content":"Legacy databases contain accumulated memories that bypassed the extraction pipeline, leaving them vulnerable to duplicate detection gaps beyond exact matches","type":"rationale","confidence":0.85},"extractionModel":"haiku","factCount":3,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":"c7a5b88a-4283-4b82-bed8-7a220f4a9906","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 33ee3634-a422-4093-b10b-bb49ae71cbe3
memory_id: bff6bd87-3b3c-4e28-b686-14959395c208
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:37:32.166Z
reason:
  Candidate 5 already captures this fact with greater detail: it specifies the 6-file span AND the two-phase repair action architecture (hash clustering → semantic KNN). New fact is subsumed by existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"The repair action plan implementation spans 6 files","type":"procedural","confidence":0.85},"extractionModel":"haiku","factCount":5,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: f9099fa7-d56e-4a6e-a0a1-6abc1903f835
memory_id: bff6bd87-3b3c-4e28-b686-14959395c208
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:37:32.166Z
reason:
  Candidate 5 (bff6bd87) already covers this fact comprehensively: 'introduces a two-phase repair action: exact hash clustering (cheap SQL GROUP BY) followed by optional semantic clustering via KNN'. The new fact is a less detailed restatement of the same concept.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.88,"fact":{"content":"The repair action implements a two-phase clustering approach: exact hash clustering (phase 1) followed by optional semantic clustering (phase 2)","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":5,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 490ed4c4-e6ff-477f-91e9-8f3e104818bd
memory_id: bff6bd87-3b3c-4e28-b686-14959395c208
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:37:32.166Z
reason:
  Candidate [5] already captures this exact detail: 'Phase 1... exact hash clustering (cheap SQL GROUP BY)'. The new fact adds no new information beyond what's already documented in that memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Phase 1 of the repair action uses exact hash clustering implemented via SQL GROUP BY for efficient grouping","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":5,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: b16accb7-95ef-4163-a537-02bf7996a7d5
memory_id: bff6bd87-3b3c-4e28-b686-14959395c208
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:37:32.166Z
reason:
  Candidate 4 (bff6bd87-3b3c-4e28-b686-14959395c208) already contains this exact procedural detail: 'optional semantic clustering via KNN on embedded memories' as Phase 2. The new fact adds no novel information beyond what's already documented.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Phase 2 of the repair action optionally applies semantic clustering using KNN (k-nearest neighbors) on embedded memories","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":5,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 76478780-0452-42e6-96ba-c8c5a45883fd
memory_id: bff6bd87-3b3c-4e28-b686-14959395c208
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T15:37:32.166Z
actor_type: pipeline
old_content:
[cell repeats an earlier one in this file: 178 characters]

new_content:
  The two-phase repair approach uses SQL GROUP BY for phase 1 because it is computationally cheap, while phase 2 semantic clustering via KNN is optional to allow for more expensive ML-based refinement when needed

reason:
  New fact provides the architectural rationale for the two-phase repair design already documented in [5]. Merging adds the 'why' (computational cost trade-off) to the structural 'what' (GROUP BY vs KNN), creating a more complete and insightful memory.


id: fbd0b0ea-9cd8-4016-aa29-cdc0636a8b72
memory_id: bff6bd87-3b3c-4e28-b686-14959395c208
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:37:32.167Z
reason:
  New fact provides the architectural rationale for the two-phase repair design already documented in [5]. Merging adds the 'why' (computational cost trade-off) to the structural 'what' (GROUP BY vs KNN), creating a more complete and insightful memory.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"bff6bd87-3b3c-4e28-b686-14959395c208","targetContent":"The plan spans 6 files and introduces a two-phase repair action: exact hash clustering (cheap SQL GROUP BY) followed by optional semantic clustering via KNN on embedded memories.","confidence":0.9,"fact":{"content":"The two-phase repair approach uses SQL GROUP BY for phase 1 because it is computationally cheap, while phase 2 semantic clustering via KNN is optional to allow for more expensive ML-based refinement when needed","type":"rationale","confidence":0.8},"extractionModel":"haiku","factCount":5,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":"bff6bd87-3b3c-4e28-b686-14959395c208","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 714c4266-d90e-4dc0-aa72-d35b3f19ac4c
memory_id: 109914c1-c762-4335-968f-302169de4d4f
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:38:45.390Z
reason:
  Candidate [4] already contains the exact same keeper selection algorithm details (importance × 3, normalized access/update counts, recency tiebreaker), plus additional context about pinned memories and soft-deletes. New fact is fully covered.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Keeper selection uses a weighted scoring algorithm that multiplies importance by 3, normalizes access/update counts, and uses recency as a tiebreaker","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":8,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 87b78473-0131-42f9-9717-d6e0ba6dadbb
memory_id: 109914c1-c762-4335-968f-302169de4d4f
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:38:45.390Z
reason:
  Candidate [3] already captures this fact: 'Keeper selection uses a weighted scoring algorithm... with special protection for pinned and manually-overridden memories.' The new fact is redundant and fully covered.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Pinned memories and manually-overridden memories receive special protection in the keeper selection algorithm to prevent accidental replacement","type":"fact","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":8,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 9a5d3390-6569-407d-8d04-9a900d893898
memory_id: 109914c1-c762-4335-968f-302169de4d4f
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:38:45.390Z
reason:
  Candidate [3] already captures this procedural detail: 'Tag merging combines comma-separated strings'. The new fact is essentially the same information with minor clarification about source (multiple versions). No update needed.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.85,"fact":{"content":"Tag merging in the memory system combines comma-separated tag strings from multiple memory versions","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":8,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 4ca584ba-727e-4b3a-be20-2526c5f5c032
memory_id: 109914c1-c762-4335-968f-302169de4d4f
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:38:45.390Z
reason:
  Candidate [5] already comprehensively covers this architectural decision: 'all changes are soft-deletes with full audit trails.' The new fact restates the same principle without adding new information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"All memory changes in the keeper system are implemented as soft-deletes rather than hard deletions, with full audit trails retained","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":8,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 5f7d791f-2c18-47c8-bd23-448ee7ac6061
memory_id: cc4e067b-cd71-4561-97ca-7a9e36c041e6
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:39:18.590Z
reason:
  Candidate 4 (ID: 746c6baf-7f55-434b-8527-80bf07d781fb) already covers this concept with greater detail, stating 'A dry-run mode allows users to preview the results or effects of an operation before executing it permanently'. The new fact is semantically identical and adds no new information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"A dry-run mode allows users to preview the effects of an operation before executing it","type":"procedural","confidence":0.7},"extractionModel":"haiku","factCount":1,"entityCount":1,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: dc3def5e-d36c-4ed5-8b59-0776793f9875
memory_id: 37473cdc-06ef-4139-8d06-289cc05eb9d6
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:40:07.788Z
reason:
  Candidate [5] already documents this exact fact: 'Nicholai implemented a multi-layer guard mechanism to prevent infinite recursive extraction loops in the Signet daemon scheduler.' Content is identical, no update or addition needed.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.99,"fact":{"content":"Nicholai implemented a multi-layer guard mechanism in the Signet daemon scheduler to prevent infinite recursive extraction loops","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":2,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: b3a36bb9-af81-4120-847a-7caf7baf3dd7
memory_id: 37473cdc-06ef-4139-8d06-289cc05eb9d6
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:40:07.788Z
reason:
  Candidate [5] already documents the multi-layer guard mechanism for preventing recursive extraction loops in the daemon. The new fact restates/elaborates the same concept without introducing substantially new information—it clarifies the mechanism uses 'defensive layers' (which 'multi-layer' already implies) in the 'memory extraction pipeline' (vs 'scheduler' in the existing memory). The existing candidate adequately covers this topic.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.85,"fact":{"content":"The multi-layer guard mechanism uses multiple defensive layers to protect against recursive extraction loops in the daemon's memory extraction pipeline","type":"procedural","confidence":0.8},"extractionModel":"haiku","factCount":2,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: a4c37263-1565-442c-91a1-2fef5622269f
memory_id: d460c2ce-184b-41aa-9884-a3d6e1bb173e
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:41:26.419Z
reason:
  Candidate [4] already fully captures this fact: 'The scheduler spawns full Claude Code/OpenCode agent sessions that inherit the environment...' The new fact is a subset of existing memory and adds no new information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The Signet scheduler spawns full Claude Code and OpenCode agent sessions that inherit the parent environment configuration","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 58f5691a-36d2-49aa-b5bd-ba0a2444ae9e
memory_id: d460c2ce-184b-41aa-9884-a3d6e1bb173e
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:41:26.419Z
reason:
  Candidate [5] already covers this with greater specificity: it explicitly states that spawned sessions (via scheduler) fire session-start/end hooks and includes context about consequences (summary jobs, memory extraction). New fact adds no novel information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Spawned agent sessions trigger Signet's session-start and session-end lifecycle hooks","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 09bce2cf-2284-44f0-aa3b-3a46fa5ec626
memory_id: d460c2ce-184b-41aa-9884-a3d6e1bb173e
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:41:26.419Z
reason:
  Existing candidate [5] already captures this procedural knowledge: 'fire Signet's session-start/end hooks, triggering summary jobs and memory extraction.' The new fact is a general statement of the same relationship, already documented in context of the scheduler's agent spawning behavior.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.85,"fact":{"content":"Signet's session-start and session-end hooks trigger summary jobs and memory extraction processes","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 862bd854-41ef-4691-800d-b4ffa535ee1a
memory_id: d460c2ce-184b-41aa-9884-a3d6e1bb173e
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:41:26.419Z
reason:
  Candidate [5] already comprehensively describes this exact concern: the scheduler spawning sessions that inherit environment, fire hooks, trigger memory extraction, creating a potentially infinite expensive loop. The new fact restates the same problem without adding substantive new information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The cascade of scheduler spawning sessions that fire hooks triggering memory extraction can create a potentially infinite and computationally expensive loop","type":"semantic","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 09f757dd-3ec6-4e3c-bcc6-9fb5f4a172b8
memory_id: 3db0f089-46bf-4089-8cc0-da7cb2c18adc
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:43:02.638Z
reason:
  Candidate 4 (3db0f089) already covers this fact in detail: it describes the CLI Hook Guard in packages/cli/src/cli.ts with the preAction hook on hookCmd, including implementation specifics (exits silently, prevents hook subcommands in spawned contexts). New fact is a subset of existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The CLI Hook Guard feature is implemented in packages/cli/src/cli.ts by adding a preAction hook to the hookCmd command","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 6d2e01ac-7ca5-4608-8421-61967b05ffda
memory_id: 3db0f089-46bf-4089-8cc0-da7cb2c18adc
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:43:02.638Z
reason:
  New fact is already comprehensively covered by candidate [4] (ID: 3db0f089-46bf-4089-8cc0-da7cb2c18adc), which documents the exact same CLI Hook Guard implementation: preAction hook on hookCmd that exits silently with exit code 0 when the sentinel is set.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.98,"fact":{"content":"The hookCmd preAction hook exits silently with exit code 0 when a sentinel is set","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: a6432359-0be0-4df1-9c08-47c9e96cd2dc
memory_id: 3db0f089-46bf-4089-8cc0-da7cb2c18adc
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:43:02.638Z
reason:
  New fact is already documented in candidate 5 (ID: 3db0f089-46bf-4089-8cc0-da7cb2c18adc), which specifically describes the CLI Hook Guard's preAction hook preventing hook subcommands in spawned contexts. Both statements are equivalent.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The preAction hook prevents all hook subcommands from executing in spawned agent contexts","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: b606e3ba-a391-4a87-82fd-3d7a0a633eae
memory_id: 37473cdc-06ef-4139-8d06-289cc05eb9d6
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T15:43:02.638Z
actor_type: pipeline
old_content:
  ## Recursive Extraction Loop Prevention Implementation Nicholai implemented a multi-layer guard mechanism to prevent infinite recursive extraction loops in the Signet daemon scheduler.

new_content:
  The sentinel-based hook guard prevents recursive extraction loops by suppressing hooks in spawned contexts where they would otherwise re-trigger extraction

reason:
  New fact provides a clear, specific rationale for how the sentinel mechanism works. Candidate [2] describes the multi-layer guard mechanism at a high level; merging with this new fact gives both the overview and the specific mechanism explanation (suppressing hooks in spawned contexts to prevent loops).


id: 43d7f981-4fb6-48d3-bcfa-09e0f2cabfa2
memory_id: 3db0f089-46bf-4089-8cc0-da7cb2c18adc
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:43:02.640Z
reason:
  New fact provides a clear, specific rationale for how the sentinel mechanism works. Candidate [2] describes the multi-layer guard mechanism at a high level; merging with this new fact gives both the overview and the specific mechanism explanation (suppressing hooks in spawned contexts to prevent loops).

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"37473cdc-06ef-4139-8d06-289cc05eb9d6","targetContent":"## Recursive Extraction Loop Prevention Implementation Nicholai implemented a multi-layer guard mechanism to prevent infinite recursive extraction loops in the Signet daemon scheduler.","confidence":0.87,"fact":{"content":"The sentinel-based hook guard prevents recursive extraction loops by suppressing hooks in spawned contexts where they would otherwise re-trigger extraction","type":"rationale","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":"37473cdc-06ef-4139-8d06-289cc05eb9d6","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 53432a24-ee03-44fc-9db6-e84cf732aab8
memory_id: 8a929ca7-9ea8-4262-9520-f1c0fed7fdd9
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:43:50.775Z
reason:
  Candidate #5 already captures this fact: Scheduler Spawn injects SIGNET_NO_HOOKS='1' into the child process environment when spawning agents. The new fact adds no new information beyond what's already stored.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The Scheduler Spawn module at packages/daemon/src/scheduler/spawn.ts injects the SIGNET_NO_HOOKS environment variable set to '1' when spawning child agent processes","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":2,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 1638a56d-baf7-48fc-b7c4-d1dda2a16a8b
memory_id: 8a929ca7-9ea8-4262-9520-f1c0fed7fdd9
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:43:50.776Z
reason:
  The new fact is a high-level summary of the mechanism already documented across multiple existing memories: candidate [2] explains the rationale (sentinel prevents recursion), and candidates [4] and [5] describe the specific implementation points where SIGNET_NO_HOOKS is injected. The new fact synthesizes these but adds no new actionable information not already covered.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.85,"fact":{"content":"Setting SIGNET_NO_HOOKS='1' in child process environment prevents spawned agents from recursively triggering extraction hooks and inheriting the sentinel","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":2,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 57d6f326-3c66-4d7c-b445-8648a6fe70c0
memory_id: cd9a5f27-6c58-48ca-9594-9a7754c46b2e
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:44:59.138Z
reason:
  New fact is already captured verbatim in candidate [5], which documents Pipeline Provider adding SIGNET_NO_HOOKS to ClaudeCodeProvider's child environment. No new information to merge.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.98,"fact":{"content":"The Pipeline Provider in `packages/daemon/src/pipeline/provider.ts` adds the environment variable `SIGNET_NO_HOOKS: \"1\"` to the ClaudeCodeProvider's child environment","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: e8398745-2c12-4719-a894-f15ced730b18
memory_id: cd9a5f27-6c58-48ca-9594-9a7754c46b2e
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:44:59.138Z
reason:
  Candidate [5] (cd9a5f27-6c58-48ca-9594-9a7754c46b2e) already contains this exact detail: it explicitly mentions 'existing `CLAUDECODE` stripping' as part of the ClaudeCodeProvider's child environment configuration in the Pipeline Provider context. No new information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The ClaudeCodeProvider's child environment has existing `CLAUDECODE` variable stripping as part of its configuration","type":"fact","confidence":0.9},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: feda6846-c191-4cdc-8d9b-dbd20c749918
memory_id: cd9a5f27-6c58-48ca-9594-9a7754c46b2e
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:44:59.138Z
reason:
  Candidate [5] already captures this exact rationale: it explicitly states that SIGNET_NO_HOOKS and CLAUDECODE stripping are added 'as belt-and-suspenders defense'. The new fact is a restatement of the same conceptual relationship already documented.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"The `SIGNET_NO_HOOKS` variable addition and `CLAUDECODE` stripping serve as a redundant (belt-and-suspenders) defense mechanism to prevent recursive hook extraction in spawned agents","type":"rationale","confidence":0.85},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: bf79c80a-824a-47b9-8f35-5bbf63d11cf1
memory_id: b1a34daa-b416-47ab-ace0-2ec50464a357
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:46:10.221Z
reason:
  Candidate [5] already documents the isInternalCall() helper addition to daemon.ts with full implementation details (header check, hook route guards). New fact is a duplicate of existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.98,"fact":{"content":"A new `isInternalCall()` helper function was added to packages/daemon/src/daemon.ts","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 7ff4b7f3-bc13-4758-9305-a2b0ac8ef463
memory_id: b1a34daa-b416-47ab-ace0-2ec50464a357
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:46:10.221Z
reason:
  Candidate 5 (b1a34daa-b416-47ab-ace0-2ec50464a357) already documents this implementation detail: 'Added an `isInternalCall()` helper that checks for `x-signet-no-hooks: 1` header' in daemon.ts. The new fact is a more concise restatement of information already captured.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.98,"fact":{"content":"The `isInternalCall()` helper checks for the `x-signet-no-hooks: 1` HTTP header to identify internal calls","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: cbe7f7ad-246c-4bdd-bfd1-4637a0357285
memory_id: b1a34daa-b416-47ab-ace0-2ec50464a357
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:46:10.221Z
reason:
  Candidate [5] already captures this fact in detail: it describes the `isInternalCall()` helper, the header check, and explicitly lists the same three hook routes with early returns. The new fact is redundant with existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The `isInternalCall()` helper has early returns when invoked on hook routes: /api/hooks/session-start, /api/hooks/user-prompt-submit, /api/hooks/session-end","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 38ce810f-6a80-4cd7-8633-b16b4292a577
memory_id: b1a34daa-b416-47ab-ace0-2ec50464a357
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:46:10.221Z
reason:
  Candidate [5] already documents the isInternalCall() guard mechanism and its purpose of preventing direct HTTP API calls from bypassing the CLI. The new fact is a restatement of the same concept.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The `isInternalCall()` guard prevents direct HTTP API calls from bypassing the CLI when accessing daemon hook routes","type":"rationale","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 9be2cb6a-8760-4686-8ed8-eb4999e51c24
memory_id: 9f8752ed-f260-4599-822a-ec97f86506b3
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:47:46.077Z
reason:
  Existing candidate 9f8752ed (and candidates 3607672f and b4ccc03e) already comprehensively cover non-breaking backward compatibility with specific implementation details. The new fact is a restatement of the same core principle without additional information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The implementation is non-breaking and maintains backward compatibility with existing systems","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":5,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 0fb1e118-b806-4c95-8bb8-3c6d8aafa8d3
memory_id: 9f8752ed-f260-4599-822a-ec97f86506b3
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:47:46.078Z
reason:
  Candidate [5] already comprehensively covers this fact: 'normal user sessions are unaffected (env var not set)' is explicitly stated as part of the broader non-breaking implementation claim. The new fact is a restatement of an existing memory element.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Normal user sessions remain unaffected by the implementation when the triggering environment variable is not set","type":"procedural","confidence":0.85},"extractionModel":"haiku","factCount":5,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 5da01ba9-1ec7-47c7-a688-278b448dc98e
memory_id: 9f8752ed-f260-4599-822a-ec97f86506b3
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:47:46.078Z
reason:
  Candidate 5 already comprehensively captures this fact as part of its statement that 'existing safe code paths remain unchanged.' The new fact is a restatement of an already-documented aspect of the non-breaking implementation.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"All existing safe code paths remain unchanged by the implementation","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":5,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: fef1db09-d5ed-4470-b1eb-06230f8fb728
memory_id: 9f8752ed-f260-4599-822a-ec97f86506b3
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:47:46.078Z
reason:
  Candidate [4] already comprehensively covers this fact: it explicitly states 'no schema/API changes are introduced' as part of its non-breaking implementation description. The new fact is a specific subset of existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The implementation introduces no database schema changes","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":5,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: b7f92966-f462-4324-a017-a4b61d283d83
memory_id: 5ea88c36-ee30-4271-9812-f8af429ca33d
event: created
new_content: The implementation introduces no API changes
changed_by: pipeline-v2
created_at: 2026-02-25T15:47:46.078Z
reason:
  New decision about API stability (no changes) is distinct from existing memories. Candidate 1 is a specific fact about batch REST operations, candidate 3 is about no implementation changes (different scope), and candidates 2 & 4 are unrelated. This merits its own memory entry.

metadata:
  {"proposedAction":"add","sourceMemoryId":"9f8752ed-f260-4599-822a-ec97f86506b3","decisionConfidence":0.85,"factConfidence":0.9,"extractionModel":"haiku"}


id: a05ee043-6a67-46a0-90a1-1ffcd0cad988
memory_id: 9f8752ed-f260-4599-822a-ec97f86506b3
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:47:46.078Z
reason:
  New decision about API stability (no changes) is distinct from existing memories. Candidate 1 is a specific fact about batch REST operations, candidate 3 is about no implementation changes (different scope), and candidates 2 & 4 are unrelated. This merits its own memory entry.

metadata:
  {"shadow":false,"proposedAction":"add","targetMemoryId":null,"targetContent":null,"confidence":0.85,"fact":{"content":"The implementation introduces no API changes","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":5,"entityCount":5,"createdMemoryId":"5ea88c36-ee30-4271-9812-f8af429ca33d","updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: d5f8e413-99a9-4dc7-b479-2e2af37c62ce
memory_id: 8e5ccd65-f3e6-4c0c-a955-90f624c6531b
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:48:43.789Z
reason:
  New fact is already covered by existing candidate [5] which explicitly states 'Verification includes full build, 396+ tests, typecheck' and candidate [3] which mentions 'build passes, typecheck, testing'. The automated build, typecheck, and test suite execution are already documented in these procedural memories.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"The verification process includes automated build, typecheck, and test suite execution","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: edc866c0-3205-4e92-ac7b-19077f0b15d7
memory_id: 8e5ccd65-f3e6-4c0c-a955-90f624c6531b
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:48:43.789Z
reason:
  New fact is already covered by candidate [5] (ID: 8e5ccd65-f3e6-4c0c-a955-90f624c6531b), which explicitly states 'manual testing of the hook suppression behavior' as part of verification. The existing memory is more comprehensive, including additional verification details (build/typecheck/test validation, daemon logging).

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The verification process includes manual testing of hook suppression behavior","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 0ecafa77-93ca-44dc-82ea-703166b36f9c
memory_id: 8e5ccd65-f3e6-4c0c-a955-90f624c6531b
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:48:43.790Z
reason:
  Candidate [5] (8e5ccd65-f3e6-4c0c-a955-90f624c6531b) already covers this fact, explicitly listing 'daemon logging' as part of the verification process alongside build/typecheck/test validation and manual testing. The new fact adds no new information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"The verification process includes testing and validation of daemon logging functionality","type":"procedural","confidence":0.85},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 2373df8f-fa67-4212-90ce-6ba6f2882bf8
memory_id: 72aec19a-10b9-491b-9e61-ac9d4a80bd67
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:49:46.443Z
reason:
  Candidate [2] already captures this exact fact: 'Nicholai identified a potential gap between the predictive-memory-scorer.md technical plan and the high-level vision document.' The new fact is a restatement with no additional information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Nicholai identified a potential gap between the technical plan documented in predictive-memory-scorer.md and the high-level vision concepts in VISION.md","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: c833013a-40c6-4efb-8b57-641dffedec05
memory_id: 72aec19a-10b9-491b-9e61-ac9d4a80bd67
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:49:46.443Z
reason:
  Existing memory [3] (ID: 72aec19a) already captures this exact observation: 'Nicholai identified a potential gap between the predictive-memory-scorer.md technical plan and the high-level vision document, asking whether new concepts should be elevated to VISION.md.' The new fact is identical in substance.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The gap analysis raises a question about whether new concepts introduced in technical planning documents (like predictive-memory-scorer.md) should be elevated to and reflected in the high-level VISION.md document","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 69ccc12d-941b-4c66-a802-d64abac77026
memory_id: 72aec19a-10b9-491b-9e61-ac9d4a80bd67
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T15:49:46.443Z
actor_type: pipeline
old_content:
  ## VISION.md Gap Analysis and Enhancement Nicholai identified a potential gap between the predictive-memory-scorer.md technical plan and the high-level vision document, asking whether new concepts should be elevated to VISION.md.

new_content:
  There is uncertainty about the appropriate document hierarchy and concept promotion process between high-level vision (VISION.md) and detailed technical plans (predictive-memory-scorer.md)

reason:
  New fact clarifies the systemic issue underlying the existing gap: the document hierarchy and concept promotion process between VISION.md and technical plans like predictive-memory-scorer.md. Merging enriches the existing memory with more precise language about the architectural question.


id: bcf4ab9e-bb50-4f10-b583-cbf27d931599
memory_id: 72aec19a-10b9-491b-9e61-ac9d4a80bd67
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:49:46.444Z
reason:
  New fact clarifies the systemic issue underlying the existing gap: the document hierarchy and concept promotion process between VISION.md and technical plans like predictive-memory-scorer.md. Merging enriches the existing memory with more precise language about the architectural question.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"72aec19a-10b9-491b-9e61-ac9d4a80bd67","targetContent":"## VISION.md Gap Analysis and Enhancement Nicholai identified a potential gap between the predictive-memory-scorer.md technical plan and the high-level vision document, asking whether new concepts should be elevated to VISION.md.","confidence":0.85,"fact":{"content":"There is uncertainty about the appropriate document hierarchy and concept promotion process between high-level vision (VISION.md) and detailed technical plans (predictive-memory-scorer.md)","type":"semantic","confidence":0.85},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":"72aec19a-10b9-491b-9e61-ac9d4a80bd67","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: f41cdb76-a7e9-49a1-b0c5-9cd24d1eea85
memory_id: 283b2f70-043a-4b72-860e-182ad56cd122
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:50:32.450Z
reason:
  Existing memory ID 283b2f70-043a-4b72-860e-182ad56cd122 already captures this exact fact: 'Claude identified one significant conceptual gap: learned adaptation' from reviewing documents. New fact is redundant and fully covered.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.98,"fact":{"content":"Claude identified a significant conceptual gap in reviewed documents relating to learned adaptation","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":2,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: fd67e0fa-cba9-4977-962d-91208df52710
memory_id: 283b2f70-043a-4b72-860e-182ad56cd122
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:50:32.450Z
reason:
  This fact is already captured in candidate [4] which explicitly states 'Claude identified one significant conceptual gap: **learned adaptation**.' The new fact restates the same identified gap without adding new information or context.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"The identified conceptual gap concerns the topic of learned adaptation","type":"semantic","confidence":0.95},"extractionModel":"haiku","factCount":2,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: cc781bbb-29c5-41cf-9d9c-68da6fb3797c
memory_id: 6f949a22-2af2-4828-81a6-e906f6fc95d0
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:51:58.293Z
reason:
  Candidate [4] already captures this exact observation: 'VISION.md discusses memory and coherence as static capabilities' and explicitly notes the gap between current presentation and the learning-based vision. New fact is redundant with existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"VISION.md presents Signet's memory and coherence as static capabilities rather than as evolving or learning-based capabilities","type":"fact","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: d13285c5-318e-4b0b-85fe-04daf2b0488f
memory_id: 6f949a22-2af2-4828-81a6-e906f6fc95d0
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:51:58.293Z
reason:
  Candidate [4] already documents the exact same phrases ('Signet gives agents coherence' and 'a mind that persists') and provides deeper context by analyzing their implications. New fact adds no novel information beyond what's already captured.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"VISION.md uses the phrases 'Signet gives agents coherence' and 'a mind that persists' to characterize memory and coherence capabilities","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: b76fd9ab-bdd1-4325-9bcd-245c879d55d5
memory_id: 6f949a22-2af2-4828-81a6-e906f6fc95d0
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:51:58.294Z
reason:
  Candidate [3] already documents this exact observation: VISION.md discusses memory/coherence as static but doesn't explain improvement over time. Candidates [4] and [5] indicate this gap was identified, a solution was proposed, and applied to VISION.md. New fact is redundant with existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"VISION.md does not explain that Signet's system improves over time by learning from user interaction patterns","type":"fact","confidence":0.8},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 6ecab9b9-e997-4ddc-978c-86768802733d
memory_id: 6f949a22-2af2-4828-81a6-e906f6fc95d0
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:51:58.294Z
reason:
  Candidate [2] already documents the exact gap: VISION.md treats memory/coherence as static capabilities without explaining the learning/improvement aspect. New fact restates this observation without adding new information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.85,"fact":{"content":"Signet system has the capability to improve over time through learning from interaction patterns, but this learning behavior is not documented in VISION.md","type":"semantic","confidence":0.75},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: a70c0e74-5dd2-4cea-b647-ea55207e2761
memory_id: c65f5d0c-386c-4320-b4c3-bdc085c587d4
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:52:45.361Z
reason:
  New fact is already comprehensively documented in candidates [3], [4], and [5]. Candidate [4] explicitly captures the rationale for local per-user training in the Predictive Memory Scorer. Candidate [3] frames the architectural approach, and [5] contextualizes it in VISION.md. No new information to add.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The Predictive Memory Scorer uses local per-user training instead of centralized training","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":2,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 6c7dde76-53a6-4737-8453-9e4f320e2272
memory_id: c65f5d0c-386c-4320-b4c3-bdc085c587d4
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T15:52:45.361Z
actor_type: pipeline
old_content:
  Local per-user training was chosen for the Predictive Memory Scorer to enable personalized memory prediction and adaptation to individual memory-session interaction patterns

new_content:
  Local per-user training was chosen for the Predictive Memory Scorer to enable: (1) personalized memory prediction tailored to individual users, (2) adaptation to individual memory-session interaction patterns and behaviors. This tradeoff prioritizes personalization over centralized model consistency.

reason:
  New fact expands and refines existing rationale with explicit enumeration of benefits and adds the key tradeoff insight (personalization vs centralized consistency). Both describe the same design decision but new version is more comprehensive and self-contained.


id: 34e7241e-8b26-4927-a8c9-b6c7e607bec5
memory_id: c65f5d0c-386c-4320-b4c3-bdc085c587d4
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:52:45.362Z
reason:
  New fact expands and refines existing rationale with explicit enumeration of benefits and adds the key tradeoff insight (personalization vs centralized consistency). Both describe the same design decision but new version is more comprehensive and self-contained.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"c65f5d0c-386c-4320-b4c3-bdc085c587d4","targetContent":"Local per-user training was chosen for the Predictive Memory Scorer to enable personalized memory prediction and adaptation to individual memory-session interaction patterns","confidence":0.95,"fact":{"content":"Local per-user training was chosen for the Predictive Memory Scorer to enable: (1) personalized memory prediction tailored to individual users, (2) adaptation to individual memory-session interaction patterns and behaviors. This tradeoff prioritizes personalization over centralized model consistency.","type":"rationale","confidence":0.9},"extractionModel":"haiku","factCount":2,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":"c65f5d0c-386c-4320-b4c3-bdc085c587d4","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 9da087ab-0c1d-4060-a244-3b2ab8d7d019
memory_id: 53824992-9cec-4a2e-a64d-107e48294e52
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:54:45.503Z
reason:
  New fact is a high-level restatement of what's already comprehensively documented in candidates 1, 3, 4, and 5. The core concept—adaptive learning that determines what to remember based on user interaction patterns—is explicitly covered in the Predictive Memory Scorer design (candidate 1), the inference engine framing (candidate 3), the per-user training rationale (candidate 4), and the vision statement (candidate 5). No new information is added.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"Signet implements an adaptive learning mechanism that determines what information to remember for each user, based on their individual interaction patterns, rather than passively storing all information","type":"semantic","confidence":0.95},"extractionModel":"haiku","factCount":6,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: a3ae7f4d-8784-4a2f-be6d-9f9ac7137a65
memory_id: 53824992-9cec-4a2e-a64d-107e48294e52
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:54:45.503Z
reason:
  New fact is a generalization already comprehensively covered by existing candidates [1], [2], and [5], which detail the Predictive Memory Scorer architecture, its per-user local training approach, and the design rationale. No new information or specificity is added.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Each user in Signet has a machine learning model that is unique to them and trained on their personal interaction history","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":6,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: c56f664c-f325-4fba-a740-07d2a834bfc0
memory_id: 53824992-9cec-4a2e-a64d-107e48294e52
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T15:54:45.503Z
actor_type: pipeline
old_content:
  Proposed addition to VISION.md's continuity section: "Signet doesn't just remember — it learns what to remember. A model unique to each user, trained on their own interaction patterns, that gets sharper the longer you use it. No cloud. No shared weights.

new_content:
  The user-specific ML model in Signet improves in quality and sharpness the longer the system is used by that user

reason:
  New fact confirms and operationalizes the vision statement in [5]. Candidate [5] proposes the vision; new fact validates it as implemented behavior. Merge into single comprehensive memory: the user-specific model is both the design goal AND the confirmed procedural outcome.


id: c4b0b3e6-6251-4f6d-bb52-444bd5fb7414
memory_id: 53824992-9cec-4a2e-a64d-107e48294e52
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:54:45.504Z
reason:
  New fact confirms and operationalizes the vision statement in [5]. Candidate [5] proposes the vision; new fact validates it as implemented behavior. Merge into single comprehensive memory: the user-specific model is both the design goal AND the confirmed procedural outcome.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"53824992-9cec-4a2e-a64d-107e48294e52","targetContent":"Proposed addition to VISION.md's continuity section: \"Signet doesn't just remember — it learns what to remember. A model unique to each user, trained on their own interaction patterns, that gets sharper the longer you use it. No cloud. No shared weights.","confidence":0.92,"fact":{"content":"The user-specific ML model in Signet improves in quality and sharpness the longer the system is used by that user","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":6,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":"53824992-9cec-4a2e-a64d-107e48294e52","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: f45ee963-0714-44bb-9956-2c22a5575a9d
memory_id: 53824992-9cec-4a2e-a64d-107e48294e52
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:54:45.504Z
reason:
  Candidate [5] already covers this fact explicitly: 'A model unique to each user... No cloud. No shared weights.' The new fact about on-device, no-cloud architecture is directly stated in the existing VISION.md proposal. No additional memory needed.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"Signet's user-specific learning model runs entirely on-device without requiring cloud infrastructure or external services","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":6,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 203eb3d8-0e39-49e9-bc83-b45bda2596df
memory_id: 53824992-9cec-4a2e-a64d-107e48294e52
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:54:45.504Z
reason:
  New fact is already adequately captured by candidates [4] and [5]. Candidate [5] explicitly states 'A model unique to each user...No shared weights' as a system principle. Candidate [4] provides the rationale for per-user training. The new fact adds no novel information beyond these existing memories.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"Signet uses individual model weights per user rather than shared model weights across the user base","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":6,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 872c58ef-5cca-49c0-9487-b07f4118f36a
memory_id: c65f5d0c-386c-4320-b4c3-bdc085c587d4
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T15:54:45.504Z
actor_type: pipeline
old_content:
  Local per-user training was chosen for the Predictive Memory Scorer to enable: (1) personalized memory prediction tailored to individual users, (2) adaptation to individual memory-session interaction patterns and behaviors. This tradeoff prioritizes personalization over centralized model consistency.

new_content:
  The on-device and individual-weights design for Signet's learning model prioritizes user privacy, ownership, and personalization over centralized training efficiency

reason:
  New fact provides the philosophical rationale for candidate [4]'s design decision. It adds explicit values (privacy, ownership) and terminology (on-device, individual-weights) that deepen understanding of why local per-user training was chosen over centralized approaches. These should be merged into a complete rationale.


id: 2e726420-b383-45b9-b362-653a72684bb9
memory_id: 53824992-9cec-4a2e-a64d-107e48294e52
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:54:45.505Z
reason:
  New fact provides the philosophical rationale for candidate [4]'s design decision. It adds explicit values (privacy, ownership) and terminology (on-device, individual-weights) that deepen understanding of why local per-user training was chosen over centralized approaches. These should be merged into a complete rationale.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"c65f5d0c-386c-4320-b4c3-bdc085c587d4","targetContent":"Local per-user training was chosen for the Predictive Memory Scorer to enable: (1) personalized memory prediction tailored to individual users, (2) adaptation to individual memory-session interaction patterns and behaviors. This tradeoff prioritizes personalization over centralized model consistency.","confidence":0.85,"fact":{"content":"The on-device and individual-weights design for Signet's learning model prioritizes user privacy, ownership, and personalization over centralized training efficiency","type":"rationale","confidence":0.9},"extractionModel":"haiku","factCount":6,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":"c65f5d0c-386c-4320-b4c3-bdc085c587d4","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 937e9576-39b3-4c95-b994-ebadc7a9fb57
memory_id: fa08b18e-05cc-4f17-8143-6f8253efbba5
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T15:56:06.569Z
actor_type: pipeline
old_content:
  Your patterns, running locally." This reinforces the decentralization thesis already in VISION.md while grounding it in a concrete, time-improving capability. The addition was accepted and applied.

new_content:
  The capability of running patterns locally reinforces the decentralization thesis documented in VISION.md

reason:
  New fact provides explicit articulation of the decentralization principle already captured in candidate [2]. Merging creates a more complete, self-contained memory that clearly states the relationship between local pattern execution and Signet's decentralization thesis.


id: 45dee27e-1824-45c7-89cb-f3c4c7db8560
memory_id: fa08b18e-05cc-4f17-8143-6f8253efbba5
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:56:06.570Z
reason:
  New fact provides explicit articulation of the decentralization principle already captured in candidate [2]. Merging creates a more complete, self-contained memory that clearly states the relationship between local pattern execution and Signet's decentralization thesis.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"fa08b18e-05cc-4f17-8143-6f8253efbba5","targetContent":"Your patterns, running locally.\" This reinforces the decentralization thesis already in VISION.md while grounding it in a concrete, time-improving capability. The addition was accepted and applied.","confidence":0.92,"fact":{"content":"The capability of running patterns locally reinforces the decentralization thesis documented in VISION.md","type":"semantic","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":"fa08b18e-05cc-4f17-8143-6f8253efbba5","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: c6b5df21-0413-4561-b48e-d1b320562459
memory_id: fa08b18e-05cc-4f17-8143-6f8253efbba5
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:56:06.570Z
reason:
  Candidate [4] already captures this exact fact: 'Your patterns, running locally' grounding it as 'a concrete, time-improving capability.' The new fact is redundant with existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"Running patterns locally is described as a concrete, time-improving capability","type":"fact","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: d3f4b546-6df6-46d8-90ff-40bd6649a29c
memory_id: fa08b18e-05cc-4f17-8143-6f8253efbba5
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:56:06.570Z
reason:
  Candidate 5 (fa08b18e-05cc-4f17-8143-6f8253efbba5) already captures this fact: it explicitly mentions 'Your patterns, running locally' and states 'The addition was accepted and applied.' The new fact is a restatement of existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"An addition related to running patterns locally was accepted and applied to the codebase","type":"decision","confidence":0.8},"extractionModel":"haiku","factCount":4,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 14251be2-ac3a-43d1-acc2-c31aa997a4bf
memory_id: fa08b18e-05cc-4f17-8143-6f8253efbba5
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T15:56:06.570Z
actor_type: pipeline
old_content:
  The capability of running patterns locally reinforces the decentralization thesis documented in VISION.md

new_content:
  The decentralization thesis is a core philosophy documented in VISION.md that guides Signetai development decisions

reason:
  Candidate 5 already references the decentralization thesis in VISION.md but is incomplete/garbled. The new fact provides clearer, more explicit information about it being a core philosophy that guides development decisions. Merging improves memory clarity and consolidates related knowledge.


id: eac050e1-297b-43f7-b565-5997b999d552
memory_id: fa08b18e-05cc-4f17-8143-6f8253efbba5
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:56:06.570Z
reason:
  Candidate 5 already references the decentralization thesis in VISION.md but is incomplete/garbled. The new fact provides clearer, more explicit information about it being a core philosophy that guides development decisions. Merging improves memory clarity and consolidates related knowledge.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"fa08b18e-05cc-4f17-8143-6f8253efbba5","targetContent":"Your patterns, running locally.\" This reinforces the decentralization thesis already in VISION.md while grounding it in a concrete, time-improving capability. The addition was accepted and applied.","confidence":0.82,"fact":{"content":"The decentralization thesis is a core philosophy documented in VISION.md that guides Signetai development decisions","type":"semantic","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":"fa08b18e-05cc-4f17-8143-6f8253efbba5","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 29994291-0c65-4303-81ba-78be35c173c3
memory_id: 60847383-6490-4667-9374-e11dd78630ee
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:57:23.608Z
reason:
  This fact is already captured by existing memory ID 60847383-6490-4667-9374-e11dd78630ee, which documents the Refactoring Exploration Initiative where Nicholai asked what areas could be refactored and exploration agents were spawned. The new fact adds no new information beyond what's already recorded.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Nicholai asked for guidance on which areas of the signetai codebase could benefit from refactoring","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 7c15862a-c0ee-4787-9983-f774ee734754
memory_id: 60847383-6490-4667-9374-e11dd78630ee
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:57:23.608Z
reason:
  This fact is already comprehensively covered by candidate 4 (ID: 60847383-6490-4667-9374-e11dd78630ee), which explicitly states that 'Rather than diving in directly, two parallel exploration agents were spawned to systematically identify refactoring targets.' The new fact adds no additional information beyond what's already documented.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Two parallel exploration agents were spawned instead of beginning refactoring work directly to systematically identify refactoring targets","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 791d9a2f-bd67-4700-9d94-364ee6af334e
memory_id: 60847383-6490-4667-9374-e11dd78630ee
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:57:23.608Z
reason:
  Candidate [4] (60847383...) already captures this fact: 'two parallel exploration agents were spawned to systematically identify refactoring targets.' The new fact is redundant with existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The parallel exploration agents were tasked with systematically identifying refactoring targets across the signetai codebase","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: c0687c10-0460-4161-8848-ed864141ab31
memory_id: 60847383-6490-4667-9374-e11dd78630ee
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T15:57:23.608Z
actor_type: pipeline
old_content:
  ## Refactoring Exploration Initiative Nicholai asked what areas of the signetai codebase could be refactored. Rather than diving in directly, two parallel exploration agents were spawned to systematically identify refactoring targets.

new_content:
  Parallel exploration is the preferred approach for scoping refactoring work rather than diving directly into implementation

reason:
  New fact expresses the working principle behind the pattern already captured in candidate [5]. Elevate from specific event ('spawned agents for this task') to methodology preference ('parallel exploration is the preferred approach'). Merge to create a principle-focused memory with concrete example grounding.


id: 308f49b8-08b2-431b-9406-f30d778706df
memory_id: 60847383-6490-4667-9374-e11dd78630ee
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:57:23.609Z
reason:
  New fact expresses the working principle behind the pattern already captured in candidate [5]. Elevate from specific event ('spawned agents for this task') to methodology preference ('parallel exploration is the preferred approach'). Merge to create a principle-focused memory with concrete example grounding.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"60847383-6490-4667-9374-e11dd78630ee","targetContent":"## Refactoring Exploration Initiative Nicholai asked what areas of the signetai codebase could be refactored. Rather than diving in directly, two parallel exploration agents were spawned to systematically identify refactoring targets.","confidence":0.9,"fact":{"content":"Parallel exploration is the preferred approach for scoping refactoring work rather than diving directly into implementation","type":"preference","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":"60847383-6490-4667-9374-e11dd78630ee","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: eee50327-2529-44dd-aa5f-0c822966d2d7
memory_id: f68b7877-1e58-49fc-b488-aeab05340bfd
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:58:49.224Z
reason:
  Candidate #3 (ID: f68b7877-1e58-49fc-b488-aeab05340bfd) already documents the exploration task scope for finding large files and mixed concerns across the codebase with specific focus areas. The new fact restates this existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"An exploration task has been defined to scan the signetai codebase for large files and mixed concerns","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: eaee66f1-e059-46a0-886e-aa6ec2bfb445
memory_id: f68b7877-1e58-49fc-b488-aeab05340bfd
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:58:49.224Z
reason:
  Candidate [3] (f68b7877-1e58-49fc-b488-aeab05340bfd) already explicitly documents this exact threshold: 'Files over 500 LOC' with the example 'packages/cli/src/cli.ts known to be ~4600 LOC'. The new fact is already captured in existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The exploration scope targets files over 500 lines of code (LOC) as the threshold for large files","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 585ca1a5-48f5-4934-9950-0f0c6c745b91
memory_id: f68b7877-1e58-49fc-b488-aeab05340bfd
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:58:49.224Z
reason:
  Candidate 5 (ID: f68b7877-1e58-49fc-b488-aeab05340bfd) already documents this exact fact: 'packages/cli/src/cli.ts known to be ~4600 LOC' as part of the exploration scope

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.98,"fact":{"content":"packages/cli/src/cli.ts is known to contain approximately 4600 lines of code","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: e0001717-4072-43b9-97c3-6d8ffb44c626
memory_id: f68b7877-1e58-49fc-b488-aeab05340bfd
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:58:49.224Z
reason:
  New fact is already covered by existing memory candidate [5] (ID: f68b7877-1e58-49fc-b488-aeab05340bfd), which explicitly states the exploration scope includes 'specific focus on packages/daemon/src/, packages/core/src/, and packages/cli/src/'. No new information is added.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The exploration task specifically focuses on three package directories: packages/daemon/src/, packages/core/src/, and packages/cli/src/","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 66a09f61-04fa-4f59-936a-11ca14a7f749
memory_id: f68b7877-1e58-49fc-b488-aeab05340bfd
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T15:58:49.224Z
reason:
  Candidate [5] already explicitly documents the exploration scope including 'Mixed concerns and code smell detection' alongside file size analysis (Files over 500 LOC). New fact provides confirmation/clarification of what is already captured.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"The exploration task includes detection of code smell (mixed concerns and quality issues) in addition to file size analysis","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 3a0c465c-0080-43d8-98c5-318601104de9
memory_id: 68063194-c3be-45bb-9b4f-ab01589ef216
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:00:24.040Z
reason:
  Candidate 4 already documents that a second agent is tasked with detecting TypeScript discipline violations and code duplication, with specific details about what it scans for (as assertions, any types, ! operators). New fact is a broader restatement of the same task already captured.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"An agent is tasked with detecting TypeScript discipline violations and code duplication in the signetai project","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 73c480e6-b879-4770-a72a-555759a5eca5
memory_id: 68063194-c3be-45bb-9b4f-ab01589ef216
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:00:24.040Z
reason:
  New fact is already captured in candidate [1] which explicitly lists 'no `as`' as a TypeScript discipline rule, and is documented in the CLAUDE.md file provided in context. No new information to store.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"The signetai project prohibits `as` type assertions in code (violates TypeScript discipline convention per CLAUDE.md)","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 007adba2-6a2d-4c0f-a374-bedf7fd375be
memory_id: 3d7dc90b-1371-4a4c-9cae-6ad6827c8de0
event: created
changed_by: pipeline-v2
created_at: 2026-02-25T16:00:24.040Z
new_content:
  The signetai project prohibits `any` types; developers must use `unknown` with explicit type narrowing instead (per CLAUDE.md style & conventions)

reason:
  New TypeScript discipline rule specific to signetai project. Not covered by existing memories. Important for enforcing code quality and should be preserved for future development sessions.

metadata:
  {"proposedAction":"add","sourceMemoryId":"68063194-c3be-45bb-9b4f-ab01589ef216","decisionConfidence":0.95,"factConfidence":0.95,"extractionModel":"haiku"}


id: 98668677-effe-49f0-b1ab-f2404e9fdcac
memory_id: 68063194-c3be-45bb-9b4f-ab01589ef216
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:00:24.040Z
reason:
  New TypeScript discipline rule specific to signetai project. Not covered by existing memories. Important for enforcing code quality and should be preserved for future development sessions.

metadata:
  {"shadow":false,"proposedAction":"add","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The signetai project prohibits `any` types; developers must use `unknown` with explicit type narrowing instead (per CLAUDE.md style & conventions)","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":6,"createdMemoryId":"3d7dc90b-1371-4a4c-9cae-6ad6827c8de0","updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: f357c48b-8828-4ec5-806d-6fabbd82d60b
memory_id: 21f30c9e-6f89-445d-b333-0c36463eef54
event: created
changed_by: pipeline-v2
created_at: 2026-02-25T16:00:24.040Z
new_content:
  The signetai project prohibits `!` non-null assertions; developers must use explicit null checks instead (per CLAUDE.md style & conventions)

reason:
  New fact states a project-wide style rule from CLAUDE.md (prohibits `!` non-null assertions). Existing candidates are task items, agent objectives, or implementation rationales—none document the rule itself as a standalone convention. This should be preserved as a reference for future development.

metadata:
  {"proposedAction":"add","sourceMemoryId":"68063194-c3be-45bb-9b4f-ab01589ef216","decisionConfidence":0.9,"factConfidence":0.95,"extractionModel":"haiku"}


id: 0f0e5699-6892-4470-9896-099b686907fe
memory_id: 68063194-c3be-45bb-9b4f-ab01589ef216
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:00:24.040Z
reason:
  New fact states a project-wide style rule from CLAUDE.md (prohibits `!` non-null assertions). Existing candidates are task items, agent objectives, or implementation rationales—none document the rule itself as a standalone convention. This should be preserved as a reference for future development.

metadata:
  {"shadow":false,"proposedAction":"add","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"The signetai project prohibits `!` non-null assertions; developers must use explicit null checks instead (per CLAUDE.md style & conventions)","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":6,"createdMemoryId":"21f30c9e-6f89-445d-b333-0c36463eef54","updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 5ac0523c-0f36-41b4-9ae8-73c5f1bedd89
memory_id: 68063194-c3be-45bb-9b4f-ab01589ef216
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T16:00:24.040Z
actor_type: pipeline
old_content:
  Second agent tasked with detecting TypeScript discipline violations and duplication: - Scanning for `as` type assertions (violates project convention) - Detecting `any` types (should use `unknown` with narrowing per CLAUDE.md) - Finding `!` non-null assertions (should be explicit null checks) - Id

new_content:
  The code review/linting agent scans for `as` type assertions, `any` types, and `!` non-null assertions as part of TypeScript discipline validation

reason:
  New fact directly refines and completes candidate [5], which was partially documented. Both describe the same TypeScript discipline validation procedure (scanning for `as`, `any`, `!`). Merging provides a cleaner, complete statement of this procedural knowledge.


id: 1e5e7c44-3f60-4a20-9aa1-a16c44054b9d
memory_id: 68063194-c3be-45bb-9b4f-ab01589ef216
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:00:24.041Z
reason:
  New fact directly refines and completes candidate [5], which was partially documented. Both describe the same TypeScript discipline validation procedure (scanning for `as`, `any`, `!`). Merging provides a cleaner, complete statement of this procedural knowledge.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"68063194-c3be-45bb-9b4f-ab01589ef216","targetContent":"Second agent tasked with detecting TypeScript discipline violations and duplication: - Scanning for `as` type assertions (violates project convention) - Detecting `any` types (should use `unknown` with narrowing per CLAUDE.md) - Finding `!` non-null assertions (should be explicit null checks) - Id","confidence":0.95,"fact":{"content":"The code review/linting agent scans for `as` type assertions, `any` types, and `!` non-null assertions as part of TypeScript discipline validation","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":5,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":"68063194-c3be-45bb-9b4f-ab01589ef216","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: a02390fa-8278-4be1-bb76-b357b4dde31b
memory_id: 1d65c1ff-20da-4715-bcd6-184f2dac9da7
event: updated
old_content: Signet is an open standard for portable AI agent identity with spec version 0.2.1-draft
changed_by: pipeline-v2
metadata: {"changedFields":["content"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T16:04:23.796Z
actor_type: pipeline
new_content:
  Signet is an open standard for portable AI agent identity with spec version 0.2.1-draft, auth built on ERC-8128 wallet-based signatures

reason:
  New fact enriches candidate [3] by adding the ERC-8128 wallet-based signature authentication detail. Candidate [1] becomes redundant after this update.


id: ebeb353a-33d7-4de3-a73f-ab4ce685885b
memory_id: 4ec63b7b-6559-45b3-ad9d-6cd974ca4dd8
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:04:23.797Z
reason:
  New fact enriches candidate [3] by adding the ERC-8128 wallet-based signature authentication detail. Candidate [1] becomes redundant after this update.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"1d65c1ff-20da-4715-bcd6-184f2dac9da7","targetContent":"Signet is an open standard for portable AI agent identity with spec version 0.2.1-draft","confidence":0.95,"fact":{"content":"Signet is an open standard for portable AI agent identity with spec version 0.2.1-draft, auth built on ERC-8128 wallet-based signatures","type":"semantic","confidence":0.95},"extractionModel":"haiku","factCount":13,"entityCount":13,"createdMemoryId":null,"updatedMemoryId":"1d65c1ff-20da-4715-bcd6-184f2dac9da7","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 4a90b451-1a12-4f12-98e9-0c78ea057ae0
memory_id: 4ec63b7b-6559-45b3-ad9d-6cd974ca4dd8
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:04:23.797Z
reason:
  New fact is already covered by existing candidates: [1] contains the build sequence, [2] contains the bun workspace monorepo information. No new information to add or merge.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The signetai repository is organized as a bun workspace monorepo with ordered build sequence: build:core → build:connector-base → build:deps (parallel) → build:signetai","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":13,"entityCount":13,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: fceb090c-0be0-4f5d-8ced-63f4fc703cc4
memory_id: 4977fe0c-164d-4e63-8acf-8aafce5da87b
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T16:04:23.797Z
actor_type: pipeline
old_content:
  All user data in Signet is stored at ~/.agents/ including agent.yaml, AGENTS.md, SOUL.md, IDENTITY.md, USER.md, MEMORY.md, and agent.db

new_content:
  All user data lives at ~/.agents/ containing agent.yaml (configuration), AGENTS.md (identity), SOUL.md (personality), MEMORY.md (working memory), memory/ (SQLite database), skills/, and .secrets/

reason:
  New fact adds directory structure details (memory/, skills/, .secrets/) and clarifies database location (memory/ dir vs agent.db). Merge into candidate [1] which already covers identity files. Result should list complete ~/.agents/ structure with all files and subdirectories.


id: 1f90f321-d3f0-4056-bc68-717e271e6add
memory_id: 4ec63b7b-6559-45b3-ad9d-6cd974ca4dd8
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:04:23.797Z
reason:
  New fact adds directory structure details (memory/, skills/, .secrets/) and clarifies database location (memory/ dir vs agent.db). Merge into candidate [1] which already covers identity files. Result should list complete ~/.agents/ structure with all files and subdirectories.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"4977fe0c-164d-4e63-8acf-8aafce5da87b","targetContent":"All user data in Signet is stored at ~/.agents/ including agent.yaml, AGENTS.md, SOUL.md, IDENTITY.md, USER.md, MEMORY.md, and agent.db","confidence":0.92,"fact":{"content":"All user data lives at ~/.agents/ containing agent.yaml (configuration), AGENTS.md (identity), SOUL.md (personality), MEMORY.md (working memory), memory/ (SQLite database), skills/, and .secrets/","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":13,"entityCount":13,"createdMemoryId":null,"updatedMemoryId":"4977fe0c-164d-4e63-8acf-8aafce5da87b","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: f31f23d5-81b5-4181-b934-5d6cee879f1a
memory_id: ea79fd89-710d-45bf-b332-8e5568e34743
event: updated
old_content: Signet daemon runs on port 3850 by default
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T16:04:23.797Z
actor_type: pipeline
new_content:
  The daemon runs on port 3850 and provides HTTP API endpoints at /api/*, file watching with debounced sync (5s for commits, 2s for harness sync), and memory pipeline with stages: extraction → decision → knowledge graph → retention decay → document ingest → maintenance → session summary

reason:
  New fact comprehensively refines candidate [5] which only mentions the port. The new fact adds critical architectural details: HTTP API endpoints structure, debounced file watching behavior (5s commits, 2s sync), and the complete memory pipeline stages. Merging creates a more useful, self-contained architectural fact.


id: 9b3bec0a-726a-4a0f-8ea8-7f677425016c
memory_id: 4ec63b7b-6559-45b3-ad9d-6cd974ca4dd8
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:04:23.797Z
reason:
  New fact comprehensively refines candidate [5] which only mentions the port. The new fact adds critical architectural details: HTTP API endpoints structure, debounced file watching behavior (5s commits, 2s sync), and the complete memory pipeline stages. Merging creates a more useful, self-contained architectural fact.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"ea79fd89-710d-45bf-b332-8e5568e34743","targetContent":"Signet daemon runs on port 3850 by default","confidence":0.92,"fact":{"content":"The daemon runs on port 3850 and provides HTTP API endpoints at /api/*, file watching with debounced sync (5s for commits, 2s for harness sync), and memory pipeline with stages: extraction → decision → knowledge graph → retention decay → document ingest → maintenance → session summary","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":13,"entityCount":13,"createdMemoryId":null,"updatedMemoryId":"ea79fd89-710d-45bf-b332-8e5568e34743","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 335919e1-6bfd-494a-8708-0ad621e897d5
memory_id: 2b85243f-4def-4dd5-a537-f5e247242f03
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T16:04:23.797Z
actor_type: pipeline
old_content:
  Session tracking enforces the 'plugin' runtime path to prevent concurrent writes and ensure consistency

new_content:
  The memory pipeline is plugin-first with connectors sending hook requests with x-signet-runtime-path header (plugin or legacy), enforcing one active path per session with 409 on conflict

reason:
  New fact provides the technical implementation details of how the session tracking enforcement works (x-signet-runtime-path header, plugin/legacy routing, 409 on conflict). Candidate [5] references the same mechanism but is vague. Merge into a more complete technical description.


id: 196f3752-8cbb-4b53-8f48-1600fe61cd48
memory_id: 4ec63b7b-6559-45b3-ad9d-6cd974ca4dd8
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:04:23.798Z
reason:
  New fact provides the technical implementation details of how the session tracking enforcement works (x-signet-runtime-path header, plugin/legacy routing, 409 on conflict). Candidate [5] references the same mechanism but is vague. Merge into a more complete technical description.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"2b85243f-4def-4dd5-a537-f5e247242f03","targetContent":"Session tracking enforces the 'plugin' runtime path to prevent concurrent writes and ensure consistency","confidence":0.85,"fact":{"content":"The memory pipeline is plugin-first with connectors sending hook requests with x-signet-runtime-path header (plugin or legacy), enforcing one active path per session with 409 on conflict","type":"fact","confidence":0.85},"extractionModel":"haiku","factCount":13,"entityCount":13,"createdMemoryId":null,"updatedMemoryId":"2b85243f-4def-4dd5-a537-f5e247242f03","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 3aa1e6b5-d1f9-42c1-9bab-2a024700df4a
memory_id: 81d6b7cc-be07-4d1d-9526-9dee2b8025f3
event: updated
new_content: SQLite uses runtime detection: bun:sqlite under Bun runtime, better-sqlite3 under Node.js runtime
changed_by: pipeline-v2
metadata: {"changedFields":["content"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T16:04:23.798Z
actor_type: pipeline
old_content:
[cell repeats an earlier one in this file: 268 characters]

reason:
  New fact provides the complete runtime detection strategy (bun:sqlite vs better-sqlite3) that supplements the existing architecture memory which only mentions bun:sqlite in daemon context. Merging gives fuller implementation detail.


id: 3769d935-ce8a-4fa6-9365-cd061536a772
memory_id: 4ec63b7b-6559-45b3-ad9d-6cd974ca4dd8
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:04:23.799Z
reason:
  New fact provides the complete runtime detection strategy (bun:sqlite vs better-sqlite3) that supplements the existing architecture memory which only mentions bun:sqlite in daemon context. Merging gives fuller implementation detail.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"81d6b7cc-be07-4d1d-9526-9dee2b8025f3","targetContent":"### Architecture\n\n- CLI: `packages/cli/` - Commander-based, bundled with bun targeting node\n- Daemon: `packages/daemon/` - Hono HTTP server, bundled targeting bun (uses bun:sqlite)\n- Package: `packages/signetai/` - Combined package with bin, dist, dashboard, templates","confidence":0.9,"fact":{"content":"SQLite uses runtime detection: bun:sqlite under Bun runtime, better-sqlite3 under Node.js runtime","type":"fact","confidence":0.9},"extractionModel":"haiku","factCount":13,"entityCount":13,"createdMemoryId":null,"updatedMemoryId":"81d6b7cc-be07-4d1d-9526-9dee2b8025f3","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: ec0a23d0-ddfa-450f-9218-01b40361e96a
memory_id: 98832682-fb8b-4116-8c08-13929475aeac
event: created
changed_by: pipeline-v2
created_at: 2026-02-25T16:04:23.799Z
new_content:
  Development conventions enforce: no 'any' types (use 'unknown' with narrowing), no 'as' assertions (fix types instead), no '!' null assertions (check explicitly), discriminated unions over optional properties, readonly everywhere mutation isn't intended, no enums (use as const + union types), explicit return types on exports, result types over exceptions, effect-free module scope

reason:
  New fact comprehensively consolidates all TypeScript discipline rules from CLAUDE.md (8 rules total). Existing candidates [3] and [4] only cover individual rules (any, !). Candidate [2] is incomplete and embedded in other context. A unified memory covering the full discipline set is more useful than fragmented decisions.

metadata:
  {"proposedAction":"add","sourceMemoryId":"4ec63b7b-6559-45b3-ad9d-6cd974ca4dd8","decisionConfidence":0.9,"factConfidence":0.9,"extractionModel":"haiku"}


id: 7730bdbd-98d2-43fd-9353-6d502ccc4d39
memory_id: 4ec63b7b-6559-45b3-ad9d-6cd974ca4dd8
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:04:23.799Z
reason:
  New fact comprehensively consolidates all TypeScript discipline rules from CLAUDE.md (8 rules total). Existing candidates [3] and [4] only cover individual rules (any, !). Candidate [2] is incomplete and embedded in other context. A unified memory covering the full discipline set is more useful than fragmented decisions.

metadata:
  {"shadow":false,"proposedAction":"add","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"Development conventions enforce: no 'any' types (use 'unknown' with narrowing), no 'as' assertions (fix types instead), no '!' null assertions (check explicitly), discriminated unions over optional properties, readonly everywhere mutation isn't intended, no enums (use as const + union types), explicit return types on exports, result types over exceptions, effect-free module scope","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":13,"entityCount":13,"createdMemoryId":"98832682-fb8b-4116-8c08-13929475aeac","updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 28565b53-f4f3-47d1-8ec3-3326785bc552
memory_id: 4ec63b7b-6559-45b3-ad9d-6cd974ca4dd8
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:04:23.799Z
reason:
  This architectural fact about auth middleware (token-based protection, policy rules, rate limiting at /api/*) is already documented in the project's CLAUDE.md under 'Key Files' section. Memories should capture patterns and insights beyond project documentation, not duplicate documented architecture. If this becomes a working pattern or insight during development, it can be captured then.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"Auth middleware at packages/daemon/src/auth/ includes token-based protection with policy rules and rate limiting for routes under /api/*","type":"fact","confidence":0.85},"extractionModel":"haiku","factCount":13,"entityCount":13,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: d65cb573-074d-4020-ae9c-d5e0b3bf7e85
memory_id: c4b03938-7a70-4e16-9132-8e75558972e6
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T16:04:23.799Z
actor_type: pipeline
old_content:
  Signet database migrations are stored as numbered .ts files in packages/core/src/migrations/ directory (numbered sequentially such as 009-summary-jobs.ts) and run automatically on daemon startup

new_content:
  Database migrations at packages/core/src/migrations/ contain numbered migrations (001-baseline through 010-umap-cache) that run automatically on daemon startup

reason:
  New fact provides specific migration range (001-baseline through 010-umap-cache) that refines candidate [4], which already covers the core concept (numbered .ts files, automatic startup execution, location). Updating adds concrete examples while preserving the general pattern.


id: adadbe96-b281-4038-bd62-80130fc2386a
memory_id: 4ec63b7b-6559-45b3-ad9d-6cd974ca4dd8
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:04:23.800Z
reason:
  New fact provides specific migration range (001-baseline through 010-umap-cache) that refines candidate [4], which already covers the core concept (numbered .ts files, automatic startup execution, location). Updating adds concrete examples while preserving the general pattern.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"c4b03938-7a70-4e16-9132-8e75558972e6","targetContent":"Signet database migrations are stored as numbered .ts files in packages/core/src/migrations/ directory (numbered sequentially such as 009-summary-jobs.ts) and run automatically on daemon startup","confidence":0.88,"fact":{"content":"Database migrations at packages/core/src/migrations/ contain numbered migrations (001-baseline through 010-umap-cache) that run automatically on daemon startup","type":"fact","confidence":0.85},"extractionModel":"haiku","factCount":13,"entityCount":13,"createdMemoryId":null,"updatedMemoryId":"c4b03938-7a70-4e16-9132-8e75558972e6","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 3e2bc10e-3add-46ad-8a29-79a65902de40
memory_id: 4ec63b7b-6559-45b3-ad9d-6cd974ca4dd8
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:04:23.800Z
reason:
  Candidate [5] already documents the exact work: examining packages/daemon/src/hooks.ts to identify duplicated logic patterns in fetch calls, error handling, and database queries. New fact is redundant with existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Current work involves examining packages/daemon/src/hooks.ts to identify and eliminate duplicated logic patterns in fetch calls, error handling, and database queries","type":"procedural","confidence":0.8},"extractionModel":"haiku","factCount":13,"entityCount":13,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: c65eaae4-a24c-4049-a8ab-0f260c5575e8
memory_id: 47905083-e8af-4874-b4e1-9045467ec414
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T16:04:23.800Z
actor_type: pipeline
old_content:
  These config unification and utility extraction tasks are part of the Signet ingest pipeline refactoring effort to eliminate code duplication and standardize LLM provider integration

new_content:
  The ingest pipeline refactoring aims to eliminate duplication and standardize LLM provider integration by extracting common utilities (git-utils.ts, chat-utils.ts) and migrating LlmProvider interface from daemon to core

reason:
  New fact refines existing rationale with specific implementation details (git-utils.ts, chat-utils.ts extraction). Both discuss eliminating duplication and standardizing LLM integration. Merging adds actionable specificity to the broader rationale.


id: 2e281f66-58da-4612-98ca-46ca507ce55c
memory_id: 4ec63b7b-6559-45b3-ad9d-6cd974ca4dd8
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:04:23.800Z
reason:
  New fact refines existing rationale with specific implementation details (git-utils.ts, chat-utils.ts extraction). Both discuss eliminating duplication and standardizing LLM integration. Merging adds actionable specificity to the broader rationale.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"47905083-e8af-4874-b4e1-9045467ec414","targetContent":"These config unification and utility extraction tasks are part of the Signet ingest pipeline refactoring effort to eliminate code duplication and standardize LLM provider integration","confidence":0.88,"fact":{"content":"The ingest pipeline refactoring aims to eliminate duplication and standardize LLM provider integration by extracting common utilities (git-utils.ts, chat-utils.ts) and migrating LlmProvider interface from daemon to core","type":"decision","confidence":0.85},"extractionModel":"haiku","factCount":13,"entityCount":13,"createdMemoryId":null,"updatedMemoryId":"47905083-e8af-4874-b4e1-9045467ec414","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: c066c4bf-99ec-4011-87db-c8606218d8c7
memory_id: 4ec63b7b-6559-45b3-ad9d-6cd974ca4dd8
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:04:23.800Z
reason:
  New fact is functionally identical to existing candidates 4 (decision type) and 5 (procedural type), which already establish the rule that shadcn-svelte components must be preferred over custom implementations. No new information or refinement is added.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Dashboard development must use components from shadcn-svelte (https://www.shadcn-svelte.com) rather than custom implementations","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":13,"entityCount":13,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: f5a7a7aa-5a19-4db9-bd29-04a79fce0cb4
memory_id: 4e21d3fc-8fc1-4825-9bb1-2f1dfd7e093b
event: created
changed_by: pipeline-v2
created_at: 2026-02-25T16:04:23.800Z
new_content:
  Connector packages (cli, opencode, openclaw) are idempotent and safe to run install multiple times without side effects

reason:
  Distinct architectural principle about connector safety/idempotence not explicitly covered in existing candidates. While candidate [3] describes connector functionality, none state the idempotence guarantee explicitly. This is an important operational guideline worth storing for reference.

metadata:
  {"proposedAction":"add","sourceMemoryId":"4ec63b7b-6559-45b3-ad9d-6cd974ca4dd8","decisionConfidence":0.92,"factConfidence":0.85,"extractionModel":"haiku"}


id: d4689d42-bd34-4849-8359-e663343b2fd0
memory_id: 4ec63b7b-6559-45b3-ad9d-6cd974ca4dd8
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:04:23.800Z
reason:
  Distinct architectural principle about connector safety/idempotence not explicitly covered in existing candidates. While candidate [3] describes connector functionality, none state the idempotence guarantee explicitly. This is an important operational guideline worth storing for reference.

metadata:
  {"shadow":false,"proposedAction":"add","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"Connector packages (cli, opencode, openclaw) are idempotent and safe to run install multiple times without side effects","type":"fact","confidence":0.85},"extractionModel":"haiku","factCount":13,"entityCount":13,"createdMemoryId":"4e21d3fc-8fc1-4825-9bb1-2f1dfd7e093b","updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 488fd8ad-1437-40e6-a865-0bdfa27ab8a4
memory_id: 2ca59459-1cb3-4144-93dc-ea8522373ac0
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:05:41.861Z
reason:
  Candidate [5] already captures this fact with more specificity: 'Exploration agents were dispatched and awaiting results.' The new fact is a more generic restatement of information already recorded in existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"Exploration agents were dispatched to investigate and gather information during the current session","type":"procedural","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 119431fd-f4b9-4ea5-9a95-61dd0703913a
memory_id: 2ca59459-1cb3-4144-93dc-ea8522373ac0
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:05:41.862Z
reason:
  Candidate [5] already captures this exact state: 'Exploration agents were dispatched and awaiting results.' The new fact adds no additional information beyond what's already documented.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"The dispatched exploration agents are currently in a waiting state pending results","type":"fact","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: ab225ae6-788a-4b4b-81c8-50d3d9319252
memory_id: 2ca59459-1cb3-4144-93dc-ea8522373ac0
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:05:41.862Z
reason:
  Candidate 5 already covers this fact with additional context (agents dispatched, reconnaissance focus). The new fact is less comprehensive than the existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.85,"fact":{"content":"No refactoring actions were taken during the current session","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 7adb77ba-5c74-4d6f-befc-585fe6a7d17e
memory_id: 2ca59459-1cb3-4144-93dc-ea8522373ac0
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:05:41.862Z
reason:
  Candidate #5 already comprehensively captures this fact: 'No refactoring actions taken yet—this session was focused on reconnaissance and prioritization.' The new fact is essentially a restatement of existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"The current session prioritized reconnaissance and prioritization work over implementation or refactoring actions","type":"decision","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: c2627ad8-4ba7-46bf-994e-bd84dc444e0a
memory_id: 0adee576-dfde-4160-ab34-f7172b180c29
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:06:45.713Z
reason:
  Candidate [3] already captures this exact decision: 'Nicholai requested adding a real-time, interactive visualization of the memory pipeline to the Signet dashboard.' This memory is well-established with supporting context in candidates [4] and [5] covering exploration and goal details.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Nicholai requested adding a real-time, interactive visualization of the memory pipeline to the Signet dashboard","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: fff0b172-5961-4c9a-8a4e-8336870109ef
memory_id: 0adee576-dfde-4160-ab34-f7172b180c29
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T16:06:45.714Z
actor_type: pipeline
old_content:
  ## Pipeline Visualization Feature Planning Nicholai requested adding a real-time, interactive visualization of the memory pipeline to the Signet dashboard—converting the static diagrams (public/memory-loop-v2.jpg and docs/memory-loop.mmd) into a live component showing data flowing through extraction workers, database operations, and retention systems.

new_content:
  The Signet dashboard currently references static memory pipeline diagrams at public/memory-loop-v2.jpg and docs/memory-loop.mmd

reason:
  New fact confirms the exact file locations of the static diagrams mentioned in the Pipeline Visualization Feature Planning memory, providing current state details that ground the existing feature plan


id: 7fd7ce0a-9236-4dad-8d11-2bb3ec6f4cdd
memory_id: 0adee576-dfde-4160-ab34-f7172b180c29
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:06:45.715Z
reason:
  New fact confirms the exact file locations of the static diagrams mentioned in the Pipeline Visualization Feature Planning memory, providing current state details that ground the existing feature plan

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"0adee576-dfde-4160-ab34-f7172b180c29","targetContent":"## Pipeline Visualization Feature Planning Nicholai requested adding a real-time, interactive visualization of the memory pipeline to the Signet dashboard—converting the static diagrams (public/memory-loop-v2.jpg and docs/memory-loop.mmd) into a live component showing data flowing through extraction workers, database operations, and retention systems.","confidence":0.85,"fact":{"content":"The Signet dashboard currently references static memory pipeline diagrams at public/memory-loop-v2.jpg and docs/memory-loop.mmd","type":"fact","confidence":0.9},"extractionModel":"haiku","factCount":3,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":"0adee576-dfde-4160-ab34-f7172b180c29","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 7b67f99d-1ee8-49ac-b5a8-1da297ac799e
memory_id: 0adee576-dfde-4160-ab34-f7172b180c29
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:06:45.715Z
reason:
  Candidate 0adee576 already explicitly documents the visualization requirements, including 'showing data flowing through extraction workers, database operations, and retention systems.' The new fact restates existing planning information without adding new details.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The requested memory pipeline visualization should display data flowing through extraction workers, database operations, and retention systems","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":3,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: d124713f-0645-42ea-b03b-86a9e2ead51a
memory_id: ee72deef-eaeb-4b97-b47c-629cece9f722
event: updated
new_content: The dashboard codebase is located at packages/cli/dashboard/ within the @signet/cli package
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T16:07:40.233Z
actor_type: pipeline
old_content:
  Signet dashboard is built with Svelte 5 + Tailwind v4 + bits-ui + CodeMirror 6 + 3d-force-graph as static files served by daemon at /

reason:
  New fact complements existing memory about dashboard tech stack. Merging location info with tech stack creates a more complete, actionable memory about the Signet dashboard codebase.


id: fb055f5c-7af9-45bc-b6e0-e38d875ef141
memory_id: db98b006-7618-4bb2-97cc-f22090218ab5
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:07:40.234Z
reason:
  New fact complements existing memory about dashboard tech stack. Merging location info with tech stack creates a more complete, actionable memory about the Signet dashboard codebase.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"ee72deef-eaeb-4b97-b47c-629cece9f722","targetContent":"Signet dashboard is built with Svelte 5 + Tailwind v4 + bits-ui + CodeMirror 6 + 3d-force-graph as static files served by daemon at /","confidence":0.95,"fact":{"content":"The dashboard codebase is located at packages/cli/dashboard/ within the @signet/cli package","type":"semantic","confidence":0.9},"extractionModel":"haiku","factCount":2,"entityCount":2,"createdMemoryId":null,"updatedMemoryId":"ee72deef-eaeb-4b97-b47c-629cece9f722","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 5c7113a7-301c-46f7-b84a-88477fcc6bd0
memory_id: db98b006-7618-4bb2-97cc-f22090218ab5
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:07:40.234Z
reason:
  The new fact is already well-covered by existing memories: candidate [5] documents the tech stack (Svelte 5, Tailwind v4, bits-ui, CodeMirror 6, 3d-force-graph), candidate [4] establishes the shadcn-svelte component policy, and candidate [1] provides specific component examples. No new information to add.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"The dashboard is built with Svelte 5, Tailwind v4, bits-ui, CodeMirror 6, and 3d-force-graph, and uses shadcn-svelte components for UI","type":"semantic","confidence":0.85},"extractionModel":"haiku","factCount":2,"entityCount":2,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 9dfa0348-ce64-4945-92c6-b9dbc04af51a
memory_id: aac51630-fa33-48ec-8c6e-6779db4dbd9c
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:09:51.231Z
reason:
  Candidate [5] already comprehensively covers the tech stack (Svelte 5, Tailwind v4, bits-ui, 3d-force-graph) and the goal of creating an interactive pipeline visualization with real-time data flow. New fact is a restatement of existing memory with less detail.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The interactive pipeline visualization leverages existing infrastructure including Svelte 5, Tailwind v4, bits-ui, and 3d-force-graph for implementation","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":7,"entityCount":8,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: b5961796-c199-42b2-a163-71986e94735c
memory_id: d8149318-97f8-4f59-adfc-beb6ba6f69d0
event: created
new_content: The interactive pipeline visualization displays active worker status and job queue state
changed_by: pipeline-v2
created_at: 2026-02-25T16:09:51.231Z
reason:
  New fact about pipeline visualization dashboard feature (active worker status and job queue display). No existing memory covers this dashboard capability.

metadata:
  {"proposedAction":"add","sourceMemoryId":"aac51630-fa33-48ec-8c6e-6779db4dbd9c","decisionConfidence":0.95,"factConfidence":0.95,"extractionModel":"haiku"}


id: 2fab1aaa-1c82-49ca-874d-601837498f39
memory_id: aac51630-fa33-48ec-8c6e-6779db4dbd9c
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:09:51.232Z
reason:
  New fact about pipeline visualization dashboard feature (active worker status and job queue display). No existing memory covers this dashboard capability.

metadata:
  {"shadow":false,"proposedAction":"add","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The interactive pipeline visualization displays active worker status and job queue state","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":7,"entityCount":8,"createdMemoryId":"d8149318-97f8-4f59-adfc-beb6ba6f69d0","updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 77d796ca-7498-4b63-b03b-77996ef80ce8
memory_id: aac51630-fa33-48ec-8c6e-6779db4dbd9c
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:09:51.232Z
reason:
  Candidate #5 (aac51630-fa33-48ec-8c6e-6779db4dbd9c) already comprehensively covers this: it explicitly states the goal to create 'an interactive pipeline view that displays... Data flow between components in real time.' The new fact is a restatement of existing documented goals.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.88,"fact":{"content":"The interactive pipeline visualization provides real-time display of data flow between components","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":7,"entityCount":8,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 3854cfc9-e308-4473-a4d7-895857a68c3b
memory_id: aac51630-fa33-48ec-8c6e-6779db4dbd9c
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:09:51.232Z
reason:
  This fact is already comprehensively covered by existing memory ID aac51630-fa33-48ec-8c6e-6779db4dbd9c, which explicitly lists 'Pipeline metrics and throughput' as a key display element for the interactive pipeline visualization goal.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The interactive pipeline visualization displays pipeline metrics and throughput information","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":7,"entityCount":8,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: e8f5f802-87f2-43f5-aa0e-0be6d4663a09
memory_id: aac51630-fa33-48ec-8c6e-6779db4dbd9c
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:09:51.232Z
reason:
  Candidate [5] already explicitly captures this procedural detail: 'Exploration focused on understanding component patterns, existing visualization approaches, and available daemon API endpoints.' The new fact is a restatement of the component pattern analysis that's already documented.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"Development exploration included analyzing component patterns to understand visualization design requirements","type":"procedural","confidence":0.85},"extractionModel":"haiku","factCount":7,"entityCount":8,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 67326302-2268-427d-a9ae-8128d5597fa1
memory_id: 68ceefde-6dfa-4103-9a78-1600f4af4e35
event: created
changed_by: pipeline-v2
created_at: 2026-02-25T16:09:51.233Z
new_content:
  Development exploration included reviewing existing visualization approaches to inform implementation strategy

reason:
  New fact is session-specific procedural detail about reviewing visualization approaches before implementation. Related to but distinct from the general exploration preference in [5]—deserves separate memory for future visualization work reference.

metadata:
  {"proposedAction":"add","sourceMemoryId":"aac51630-fa33-48ec-8c6e-6779db4dbd9c","decisionConfidence":0.85,"factConfidence":0.85,"extractionModel":"haiku"}


id: 0fc50ce7-b635-4562-9cc8-668c0581e9f9
memory_id: aac51630-fa33-48ec-8c6e-6779db4dbd9c
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:09:51.233Z
reason:
  New fact is session-specific procedural detail about reviewing visualization approaches before implementation. Related to but distinct from the general exploration preference in [5]—deserves separate memory for future visualization work reference.

metadata:
  {"shadow":false,"proposedAction":"add","targetMemoryId":null,"targetContent":null,"confidence":0.85,"fact":{"content":"Development exploration included reviewing existing visualization approaches to inform implementation strategy","type":"procedural","confidence":0.85},"extractionModel":"haiku","factCount":7,"entityCount":8,"createdMemoryId":"68ceefde-6dfa-4103-9a78-1600f4af4e35","updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 17adf56a-c8b4-458d-8c42-5abae009f7e0
memory_id: aac51630-fa33-48ec-8c6e-6779db4dbd9c
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:09:51.233Z
reason:
  Candidate [5] already captures this exact exploration activity: 'Exploration focused on understanding component patterns, existing visualization approaches, and available daemon API endpoints that could power the live visualization.' The new fact is a restatement of the same information without additional details.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Development exploration included identifying available daemon API endpoints that could power the live pipeline visualization","type":"procedural","confidence":0.85},"extractionModel":"haiku","factCount":7,"entityCount":8,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 7899a0dd-c61a-4ab8-9faf-28d1d19ddc01
memory_id: 1c4e2cdf-b982-498a-ba90-921cfcca24f5
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:10:45.094Z
reason:
  Candidate #4 already captures this fact with more specificity: it documents that Nicholai initiated planning for an OpenClaw upstream contribution focused on either improving their memory pipeline or porting Signet patterns. The new fact is subsumed by the existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Nicholai initiated planning for a concrete upstream contribution to the OpenClaw project","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":2,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 7e3bda1a-e803-417f-b855-6581ded61853
memory_id: 1c4e2cdf-b982-498a-ba90-921cfcca24f5
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:10:45.094Z
reason:
  Candidate [4] already captures this exact concept: the planned OpenClaw contribution will either improve their memory pipeline foundation or port useful patterns from Signet. The new fact is a restatement of existing memory content, not new information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"The planned upstream contribution to OpenClaw would either improve OpenClaw's memory pipeline foundation or port useful patterns from Signet to OpenClaw","type":"procedural","confidence":0.85},"extractionModel":"haiku","factCount":2,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: d533f13d-00da-4883-821f-2843b93279e2
memory_id: 15dea7b9-933a-46f5-93ab-a31ff0a5e806
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:12:04.395Z
reason:
  Candidate [5] already captures the essential fact: a session focused on understanding OpenClaw's architecture and contribution protocols. This is a direct match with the new fact, and candidate [5] provides additional context (purpose: to propose a high-impact feature).

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"A session was conducted to understand OpenClaw's architecture and contribution protocols","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: ea5380a8-1bd5-4934-b092-b0318af3a8a3
memory_id: 15dea7b9-933a-46f5-93ab-a31ff0a5e806
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:12:04.395Z
reason:
  Candidate [5] already captures this exact insight: 'The session focused on understanding OpenClaw's architecture and contribution protocols to propose a high-impact feature.' The new fact restates this relationship without adding novel information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The purpose of studying OpenClaw's architecture and contribution protocols was to enable proposing a high-impact feature","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 50fea0bb-4c49-4ab4-bd48-e0e708e42602
memory_id: e09c9f26-613e-4d81-a9a1-378470dba1f2
event: created
new_content: OpenClaw has documented architecture that can be studied
changed_by: pipeline-v2
created_at: 2026-02-25T16:12:04.395Z
reason:
  New fact about OpenClaw's documented architecture is distinct from existing memories. Candidate 4 covers methodology for studying architecture, but doesn't capture this specific finding. Candidates 2-3 are about sessions where no decisions were made. This is useful context for future reference.

metadata:
  {"proposedAction":"add","sourceMemoryId":"15dea7b9-933a-46f5-93ab-a31ff0a5e806","decisionConfidence":0.85,"factConfidence":0.9,"extractionModel":"haiku"}


id: f43d1f6c-972a-4604-9181-c3481355a8cf
memory_id: 15dea7b9-933a-46f5-93ab-a31ff0a5e806
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:12:04.395Z
reason:
  New fact about OpenClaw's documented architecture is distinct from existing memories. Candidate 4 covers methodology for studying architecture, but doesn't capture this specific finding. Candidates 2-3 are about sessions where no decisions were made. This is useful context for future reference.

metadata:
  {"shadow":false,"proposedAction":"add","targetMemoryId":null,"targetContent":null,"confidence":0.85,"fact":{"content":"OpenClaw has documented architecture that can be studied","type":"semantic","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":"e09c9f26-613e-4d81-a9a1-378470dba1f2","updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: a4783574-8874-4cd6-932f-6e465cbc408a
memory_id: 15dea7b9-933a-46f5-93ab-a31ff0a5e806
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:12:04.396Z
reason:
  Candidate 5 already captures the core concept—the session focused on understanding OpenClaw's contribution protocols, which presupposes they are defined. The new fact is semantically covered by existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.85,"fact":{"content":"OpenClaw has defined contribution protocols that developers should follow","type":"semantic","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: accd39a1-8efb-42e0-bccb-d60e23586ed0
memory_id: 67c75a72-f603-4e85-af53-93839b485f77
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:13:56.804Z
reason:
  Candidate [5] already comprehensively documents the Explore agent deployment with identical scope: memory-lancedb extension, plugin architecture, and contribution guidelines. New fact is a less detailed restatement of existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"An Explore agent was deployed to research OpenClaw's memory systems, plugin architecture, and contribution process","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":6,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 84daca8d-0b4c-462d-afe4-85f85d71b752
memory_id: 67c75a72-f603-4e85-af53-93839b485f77
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:13:56.804Z
reason:
  Candidate [4] already documents this exact research: 'Initially deployed an Explore agent to investigate: - OpenClaw's memory-lancedb extension/plugin implementation (storage, search, creation patterns) - OpenClaw's plugin/extension architecture and registration APIs...' The new fact is a near-duplicate of existing memory content.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The research investigated OpenClaw's memory-lancedb extension/plugin implementation including storage patterns, search mechanisms, and creation patterns","type":"fact","confidence":0.85},"extractionModel":"haiku","factCount":6,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 0bf940fe-7cb2-4ed7-92fe-5b66aa31657b
memory_id: 67c75a72-f603-4e85-af53-93839b485f77
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:13:56.804Z
reason:
  The new fact is already well-covered by existing memories. Candidate 5 (67c75a72) explicitly states that the Explore agent was deployed to investigate 'OpenClaw's plugin/extension architecture and registration APIs.' Candidates 1 and 4 contain detailed technical findings from that investigation. The new fact is a high-level summary of work already documented in these memories.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"OpenClaw's plugin/extension architecture and registration APIs were examined during the investigation","type":"fact","confidence":0.85},"extractionModel":"haiku","factCount":6,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 6710fb32-3274-42ed-b69f-ee6a336fbfd4
memory_id: 4bc92009-95a9-4a31-88da-5e87b6d4d0d9
event: updated
new_content: Memory-core base interfaces were studied as part of the research
changed_by: pipeline-v2
metadata: {"changedFields":["content"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T16:13:56.804Z
actor_type: pipeline
old_content:
  Initial exploration began by examining the core types system, particularly the LlmProvider interface and pipeline configuration types in `packages/core/src/types.ts`. The session started in plan mode to scope the investigation before implementation.

reason:
  New fact about studying memory-core base interfaces extends the initial exploration work already documented in candidate [4]. Both relate to codebase investigation and core type system analysis. Merging would create a more complete picture of the exploration phase.


id: 42036dca-fc7e-4265-b572-2f1a7b948ade
memory_id: 67c75a72-f603-4e85-af53-93839b485f77
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:13:56.805Z
reason:
  New fact about studying memory-core base interfaces extends the initial exploration work already documented in candidate [4]. Both relate to codebase investigation and core type system analysis. Merging would create a more complete picture of the exploration phase.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"4bc92009-95a9-4a31-88da-5e87b6d4d0d9","targetContent":"Initial exploration began by examining the core types system, particularly the LlmProvider interface and pipeline configuration types in `packages/core/src/types.ts`. The session started in plan mode to scope the investigation before implementation.","confidence":0.7,"fact":{"content":"Memory-core base interfaces were studied as part of the research","type":"fact","confidence":0.8},"extractionModel":"haiku","factCount":6,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":"4bc92009-95a9-4a31-88da-5e87b6d4d0d9","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: d559cf8f-7cc7-4126-91e0-092dd8a493d4
memory_id: 15dea7b9-933a-46f5-93ab-a31ff0a5e806
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T16:13:56.805Z
actor_type: pipeline
old_content:
  The session focused on understanding OpenClaw's architecture and contribution protocols to propose a high-impact feature.

new_content:
  OpenClaw's contribution guidelines including PR templates and CONTRIBUTING.md were reviewed as part of the investigation

reason:
  New fact adds specific procedural details about what contribution guidelines were examined (PR templates, CONTRIBUTING.md) as part of the OpenClaw architecture investigation mentioned in candidate [5]


id: 85d00c80-1fbe-4146-856e-a25c041a4765
memory_id: 67c75a72-f603-4e85-af53-93839b485f77
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:13:56.805Z
reason:
  New fact adds specific procedural details about what contribution guidelines were examined (PR templates, CONTRIBUTING.md) as part of the OpenClaw architecture investigation mentioned in candidate [5]

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"15dea7b9-933a-46f5-93ab-a31ff0a5e806","targetContent":"The session focused on understanding OpenClaw's architecture and contribution protocols to propose a high-impact feature.","confidence":0.85,"fact":{"content":"OpenClaw's contribution guidelines including PR templates and CONTRIBUTING.md were reviewed as part of the investigation","type":"fact","confidence":0.85},"extractionModel":"haiku","factCount":6,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":"15dea7b9-933a-46f5-93ab-a31ff0a5e806","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 64e89b64-96db-419c-9739-87c67e6caf36
memory_id: 67c75a72-f603-4e85-af53-93839b485f77
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T16:13:56.805Z
actor_type: pipeline
old_content:
  Initially deployed an Explore agent to investigate: - OpenClaw's memory-lancedb extension/plugin implementation (storage, search, creation patterns) - OpenClaw's plugin/extension architecture and registration APIs - Contribution guidelines (PR templates, CONTRIBUTING.md) - Memory-core base interfaces The research phase aimed to understand OpenClaw's exact memory tool schemas, search implementations, and storage formats before proposing a contribution.

new_content:
  The research phase aimed to understand OpenClaw's memory tool schemas, search implementations, and storage formats before proposing a contribution, to ensure the proposal would be architecturally sound and aligned with OpenClaw's design patterns

reason:
  New fact refines existing memory [5] by adding the explicit rationale and goal of the research phase (architectural soundness and design alignment). The last sentence of [5] already mentions this research aim, but the new fact provides deeper context about the 'why' behind it. Merging enriches the existing memory with clearer motivation.


id: 59aeaa61-3a3a-4223-9358-e0a70de8aee0
memory_id: 67c75a72-f603-4e85-af53-93839b485f77
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:13:56.806Z
reason:
  New fact refines existing memory [5] by adding the explicit rationale and goal of the research phase (architectural soundness and design alignment). The last sentence of [5] already mentions this research aim, but the new fact provides deeper context about the 'why' behind it. Merging enriches the existing memory with clearer motivation.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"67c75a72-f603-4e85-af53-93839b485f77","targetContent":"Initially deployed an Explore agent to investigate: - OpenClaw's memory-lancedb extension/plugin implementation (storage, search, creation patterns) - OpenClaw's plugin/extension architecture and registration APIs - Contribution guidelines (PR templates, CONTRIBUTING.md) - Memory-core base interfaces The research phase aimed to understand OpenClaw's exact memory tool schemas, search implementations, and storage formats before proposing a contribution.","confidence":0.9,"fact":{"content":"The research phase aimed to understand OpenClaw's memory tool schemas, search implementations, and storage formats before proposing a contribution, to ensure the proposal would be architecturally sound and aligned with OpenClaw's design patterns","type":"rationale","confidence":0.85},"extractionModel":"haiku","factCount":6,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":"67c75a72-f603-4e85-af53-93839b485f77","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 5f9513e9-b6df-4e2b-a40c-18fae58c8232
memory_id: 2192c0c5-6d3d-4eea-87dc-227bf62b7b3e
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:14:24.920Z
reason:
  Candidate 2192c0c5-6d3d-4eea-87dc-227bf62b7b3e contains identical fact already in memory—no action needed

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The session was in early research/planning stages when the conversation data ended","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":1,"entityCount":1,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 8554d237-8a9a-4952-bc36-f8d39d5bb01a
memory_id: 8b614d70-f8d2-45b8-a3f8-cc51af327cef
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:15:11.934Z
reason:
  Candidate [3] already establishes that Predictive Memory Scorer architecture documentation exists and is available for review. The new fact is a restatement of existing knowledge captured in that memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Predictive Memory Scorer has architecture documentation available for review","type":"semantic","confidence":0.9},"extractionModel":"haiku","factCount":2,"entityCount":2,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 4db6210f-2fab-4209-8fb5-b7fa59e37b79
memory_id: 8b614d70-f8d2-45b8-a3f8-cc51af327cef
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:15:11.934Z
reason:
  Candidate [4] already documents that Nicholai requested a comparison on the Predictive Memory Scorer architecture. The new fact adds no additional information and is directly covered by the existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Nicholai requested a comparison analysis of the Predictive Memory Scorer architecture","type":"procedural","confidence":0.85},"extractionModel":"haiku","factCount":2,"entityCount":2,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: e72fb51f-92dc-4a05-a223-8e06c83c5c2d
memory_id: 829f3fcd-710f-41fd-9d3e-7c84fe6ff707
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:16:24.008Z
reason:
  Candidate [3] (ID: 829f3fcd) already covers this fact comprehensively: 'system for training a per-user memory ranking model that evolves from heuristic baseline scoring (decay + BM25)'. The new fact restates existing knowledge without adding novel information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The per-user memory ranking model system uses heuristic baseline scoring based on decay and BM25 algorithms","type":"fact","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 070364d0-ba0c-412c-8b10-9c04baca88a7
memory_id: 829f3fcd-710f-41fd-9d3e-7c84fe6ff707
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:16:24.008Z
reason:
  Candidate [3] already captures this exact fact: 'evolves from heuristic baseline scoring (decay + BM25) to learned predictions using a lightweight cross-attention architecture.' No new information or refinement is present.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The memory ranking model evolves from heuristic baseline scoring to learned predictions using a lightweight cross-attention architecture","type":"decision","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: ac806d2e-d404-44b4-bedc-3d70c216ff68
memory_id: 829f3fcd-710f-41fd-9d3e-7c84fe6ff707
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:16:24.009Z
reason:
  Candidate [829f3fcd...] already explicitly covers this fact: 'evolves from heuristic baseline scoring (decay + BM25) to learned predictions using a lightweight cross-attention architecture.' The new fact is already captured in existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"The learned prediction component of the memory ranking model uses a cross-attention architecture rather than pure heuristic methods","type":"fact","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 1cf0a06b-eab6-48cf-99d1-408207b1240a
memory_id: 829f3fcd-710f-41fd-9d3e-7c84fe6ff707
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:16:24.009Z
reason:
  Candidate [4] already explicitly states the cross-attention architecture is lightweight. The new fact provides no additional detail beyond what's already captured.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The cross-attention architecture used for learned memory ranking predictions is designed to be lightweight","type":"fact","confidence":0.8},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 5d55224d-cf8e-42b5-8528-e49b1754908f
memory_id: 2b215fe7-af06-478a-9d59-00a6da24f3c0
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:17:34.582Z
reason:
  New fact already covered by candidate [1] which explicitly describes the Signet reranker as a standalone Rust binary sidecar communicating via JSON-RPC 2.0 stdin/stdout. No new information to add or update.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The Signet reranker is implemented as a standalone Rust binary sidecar that communicates with the daemon via JSON-RPC 2.0 over stdin/stdout","type":"decision","confidence":0.85},"extractionModel":"haiku","factCount":3,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: c28ca399-ff4b-4807-83fe-d50811125dbe
memory_id: 829f3fcd-710f-41fd-9d3e-7c84fe6ff707
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T16:17:34.582Z
actor_type: pipeline
old_content:
  The document outlines a comprehensive system for training a per-user memory ranking model that evolves from heuristic baseline scoring (decay + BM25) to learned predictions using a lightweight cross-attention architecture.

new_content:
  The reranking model contains approximately 370,000 parameters with an internal embedding dimension of 64

reason:
  New fact provides concrete architectural specifications (370K params, 64-dim embeddings) for the per-user memory ranking model with cross-attention architecture described in the existing memory. Merging adds implementation detail.


id: 38f1028d-2675-46ef-9ed2-fbaab78bc5ad
memory_id: 2b215fe7-af06-478a-9d59-00a6da24f3c0
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:17:34.583Z
reason:
  New fact provides concrete architectural specifications (370K params, 64-dim embeddings) for the per-user memory ranking model with cross-attention architecture described in the existing memory. Merging adds implementation detail.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"829f3fcd-710f-41fd-9d3e-7c84fe6ff707","targetContent":"The document outlines a comprehensive system for training a per-user memory ranking model that evolves from heuristic baseline scoring (decay + BM25) to learned predictions using a lightweight cross-attention architecture.","confidence":0.85,"fact":{"content":"The reranking model contains approximately 370,000 parameters with an internal embedding dimension of 64","type":"fact","confidence":0.9},"extractionModel":"haiku","factCount":3,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":"829f3fcd-710f-41fd-9d3e-7c84fe6ff707","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 0c4e3220-53b9-49a8-bee7-3690eccbf407
memory_id: 829f3fcd-710f-41fd-9d3e-7c84fe6ff707
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T16:17:34.584Z
actor_type: pipeline
old_content:
  The reranking model contains approximately 370,000 parameters with an internal embedding dimension of 64

new_content:
  The reranking model is trained on per-memory relevance labels generated by the continuity scorer component

reason:
  The new fact specifies the data source (continuity scorer → labels) for the training system described in candidate 1. Merging refines the existing learning memory with this key technical detail about the label generation pipeline.


id: 5167b33c-29e2-44cc-83f4-fc039869a546
memory_id: 2b215fe7-af06-478a-9d59-00a6da24f3c0
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:17:34.584Z
reason:
  The new fact specifies the data source (continuity scorer → labels) for the training system described in candidate 1. Merging refines the existing learning memory with this key technical detail about the label generation pipeline.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"829f3fcd-710f-41fd-9d3e-7c84fe6ff707","targetContent":"The document outlines a comprehensive system for training a per-user memory ranking model that evolves from heuristic baseline scoring (decay + BM25) to learned predictions using a lightweight cross-attention architecture.","confidence":0.8,"fact":{"content":"The reranking model is trained on per-memory relevance labels generated by the continuity scorer component","type":"procedural","confidence":0.85},"extractionModel":"haiku","factCount":3,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":"829f3fcd-710f-41fd-9d3e-7c84fe6ff707","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: b421f1bf-2f8f-4d39-858d-a01ead862324
memory_id: 3da8b378-bcda-4214-945b-7cbd1202b68c
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:19:07.840Z
reason:
  Candidate [5] already covers this fact in greater detail: it documents RRF-based ranking with earned influence (α) that adjusts based on session-end NDCG comparison wins, with specific thresholds (10+ sessions, >40% success rate). The new fact is a less specific version of what's already stored.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"The ranking system uses RRF (Reciprocal Rank Fusion) with earned influence (α) parameter that adjusts dynamically during operation","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 54a958eb-2e39-4867-8b74-bf7f33eb9923
memory_id: 3da8b378-bcda-4214-945b-7cbd1202b68c
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:19:07.840Z
reason:
  Candidate 5 already contains this exact mechanism: 'earned influence (α) that adjusts based on session-end NDCG comparison wins.' The new fact restates the same technical detail without adding substantive new information beyond what's already captured in the RRF-based ranking fusion description.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"The earned influence (α) parameter adjusts based on session-end NDCG comparison wins, allowing the system to learn from ranking performance","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 953a06de-dc3b-48c5-ac6b-ed05b4f800f0
memory_id: 3da8b378-bcda-4214-945b-7cbd1202b68c
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:19:07.840Z
reason:
  Candidate 3da8b378 already explicitly documents cold start behavior: 'Cold start with pure baseline fallback, progressing to active prediction after 10+ sessions and >40% success rate threshold.' The new fact is a restatement of existing documented procedure.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"During cold start phase, the ranking system uses pure baseline fallback without learned influence","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 350864f8-b39c-4d5b-bb5a-ea74fdfe1439
memory_id: 3da8b378-bcda-4214-945b-7cbd1202b68c
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:19:07.841Z
reason:
  Candidate 4 (3da8b378-bcda-4214-945b-7cbd1202b68c) already captures the exact transition thresholds: '10+ sessions and >40% success rate threshold' for progressing from cold start baseline to active prediction mode. New fact is a restatement of information already documented.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The system transitions from cold start baseline to active prediction mode after satisfying two thresholds: 10 or more sessions AND success rate exceeding 40%","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: cd09b7c6-7702-4fd4-9e96-60051f5fd7f4
memory_id: 3da8b378-bcda-4214-945b-7cbd1202b68c
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T16:19:07.841Z
actor_type: pipeline
old_content:
  RRF-based ranking fusion with earned influence (α) that adjusts based on session-end NDCG comparison wins. Cold start with pure baseline fallback, progressing to active prediction after 10+ sessions and >40% success rate threshold.

new_content:
  The earned influence strategy is rationale: NDCG comparison wins at session end provide training signal for the ranking fusion weight, allowing progressive improvement from baseline to learned predictions

reason:
  New fact provides the explicit mechanism/rationale for candidate [5]'s earned influence strategy. NDCG comparison wins as training signal directly explains how the α weight adjusts and enables progressive improvement. Merging creates a complete description of the strategy.


id: cebef024-dba0-4a4a-81a8-806653637113
memory_id: 3da8b378-bcda-4214-945b-7cbd1202b68c
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:19:07.841Z
reason:
  New fact provides the explicit mechanism/rationale for candidate [5]'s earned influence strategy. NDCG comparison wins as training signal directly explains how the α weight adjusts and enables progressive improvement. Merging creates a complete description of the strategy.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"3da8b378-bcda-4214-945b-7cbd1202b68c","targetContent":"RRF-based ranking fusion with earned influence (α) that adjusts based on session-end NDCG comparison wins. Cold start with pure baseline fallback, progressing to active prediction after 10+ sessions and >40% success rate threshold.","confidence":0.92,"fact":{"content":"The earned influence strategy is rationale: NDCG comparison wins at session end provide training signal for the ranking fusion weight, allowing progressive improvement from baseline to learned predictions","type":"rationale","confidence":0.9},"extractionModel":"haiku","factCount":5,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":"3da8b378-bcda-4214-945b-7cbd1202b68c","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 630c105a-6c0f-4930-9655-8906f46f564d
memory_id: 3183fb90-8f40-4e23-86db-522c2674efa5
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:22:20.700Z
reason:
  Candidate 5 (3183fb90-8f40-4e23-86db-522c2674efa5) already captures this exact implementation plan: 8 sequential phases starting with 'data pipeline prerequisites' and ending with 'documentation'. The new fact is a high-level summary of what's already stored in detail.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"The implementation plan consists of 8 sequentially ordered phases, beginning with data pipeline prerequisites and ending with documentation","type":"procedural","confidence":0.85},"extractionModel":"haiku","factCount":9,"entityCount":9,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 4b19c1ed-7cc3-49b5-9e52-07efb7828c63
memory_id: 3183fb90-8f40-4e23-86db-522c2674efa5
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:22:20.700Z
reason:
  Candidate [5] already captures that Phase 1 includes 'session_memories table + per-memory scoring' as part of data pipeline prerequisites. New fact adds minor detail but no new strategic information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Phase 1 (data pipeline prerequisites) requires creating a session_memories table for storing session memory records","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":9,"entityCount":9,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 0df7b6dd-459c-44d3-a8c9-666458f58f2d
memory_id: 3183fb90-8f40-4e23-86db-522c2674efa5
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:22:20.700Z
reason:
  Candidate [4] already documents the full 8-phase plan where Phase 1 explicitly includes 'per-memory scoring' alongside session_memories table. The new fact is a restatement of what's already captured in that memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Phase 1 (data pipeline prerequisites) requires implementing per-memory scoring functionality","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":9,"entityCount":9,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: a3857d69-2efb-46fb-943e-88608dbb8806
memory_id: 3183fb90-8f40-4e23-86db-522c2674efa5
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:22:20.701Z
reason:
  Candidate [5] already explicitly documents the 8-phase plan with 'Rust autograd/model core' as the second phase. The new fact confirms what's already stated in that memory, adding no new information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Phase 2 of the implementation plan focuses on building the Rust autograd/model core","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":9,"entityCount":9,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: fada17e4-e174-4565-a383-149167b1544c
memory_id: 3183fb90-8f40-4e23-86db-522c2674efa5
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:22:20.701Z
reason:
  Candidate 5 already captures the full 8-phase plan structure, listing training pipeline as the third phase after Rust autograd/model core. The new fact simply restates this existing information with explicit phase numbering.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Phase 3 of the implementation plan focuses on building the training pipeline","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":9,"entityCount":9,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 7eaeca1e-88b4-4f80-b8b1-ef10d61d8eaa
memory_id: ed8132bd-6722-4823-990c-5177b64b9635
event: created
new_content: Phase 4 of the implementation plan involves daemon integration
changed_by: pipeline-v2
created_at: 2026-02-25T16:22:20.701Z
reason:
  New fact provides phase-level planning context about daemon integration. While [1] describes detailed daemon integration architecture, this fact establishes that daemon integration is Phase 4 of the plan. This planning structure isn't explicitly covered in existing memories and complements the architectural details.

metadata:
  {"proposedAction":"add","sourceMemoryId":"3183fb90-8f40-4e23-86db-522c2674efa5","decisionConfidence":0.85,"factConfidence":0.9,"extractionModel":"haiku"}


id: 9a47db46-a0e6-4de0-a613-d6947861e7ba
memory_id: 3183fb90-8f40-4e23-86db-522c2674efa5
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:22:20.701Z
reason:
  New fact provides phase-level planning context about daemon integration. While [1] describes detailed daemon integration architecture, this fact establishes that daemon integration is Phase 4 of the plan. This planning structure isn't explicitly covered in existing memories and complements the architectural details.

metadata:
  {"shadow":false,"proposedAction":"add","targetMemoryId":null,"targetContent":null,"confidence":0.85,"fact":{"content":"Phase 4 of the implementation plan involves daemon integration","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":9,"entityCount":9,"createdMemoryId":"ed8132bd-6722-4823-990c-5177b64b9635","updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: aba4538a-a92d-4ff7-a644-91e30ce602a4
memory_id: 3183fb90-8f40-4e23-86db-522c2674efa5
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:22:20.702Z
reason:
  Candidate [5] already comprehensively documents the 8-phase implementation plan including Phase 5 (observability backend). The new fact is a restatement of information already captured in that memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Phase 5 of the implementation plan involves building an observability backend","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":9,"entityCount":9,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 95618f1e-dd12-4cee-b98f-6bf2afc09f12
memory_id: 788810d9-85b3-49f8-8e8a-567c79d0f981
event: updated
new_content: Phase 6 of the implementation plan involves building dashboard UI
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T16:22:20.702Z
actor_type: pipeline
old_content:
  Implementation is planned in 8 phases: project scaffold, Rust core (main/lib/tray), platform abstraction, IPC commands, TypeScript state/menu builders, polling loop, icons, and build verification. Autostart, notifications, and platform-specific launchd/Windows support are deferred to future phases.

reason:
  New fact specifies phase 6 is dashboard UI, but candidate [2] lists phase 6 as 'polling loop'. The new fact with 0.9 confidence provides more recent/specific information about phase 6 of the implementation plan and should update the existing phase listing.


id: 45a964da-2bb0-4fe1-bc27-eafcfca46cc5
memory_id: 3183fb90-8f40-4e23-86db-522c2674efa5
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:22:20.703Z
reason:
  New fact specifies phase 6 is dashboard UI, but candidate [2] lists phase 6 as 'polling loop'. The new fact with 0.9 confidence provides more recent/specific information about phase 6 of the implementation plan and should update the existing phase listing.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"788810d9-85b3-49f8-8e8a-567c79d0f981","targetContent":"Implementation is planned in 8 phases: project scaffold, Rust core (main/lib/tray), platform abstraction, IPC commands, TypeScript state/menu builders, polling loop, icons, and build verification. Autostart, notifications, and platform-specific launchd/Windows support are deferred to future phases.","confidence":0.85,"fact":{"content":"Phase 6 of the implementation plan involves building dashboard UI","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":9,"entityCount":9,"createdMemoryId":null,"updatedMemoryId":"788810d9-85b3-49f8-8e8a-567c79d0f981","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 7ac429fc-1dec-48cb-8d03-99d512ba27c4
memory_id: 3183fb90-8f40-4e23-86db-522c2674efa5
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:22:20.703Z
reason:
  Candidate #5 (ID: 3183fb90-8f40-4e23-86db-522c2674efa5) already comprehensively covers this fact—it lists all 8 implementation phases including documentation as the final phase. The new fact adds no new information beyond what's already recorded.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Phase 7 of the implementation plan involves documentation","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":9,"entityCount":9,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 12b876d2-9b92-4f27-b740-5804e91cdc8e
memory_id: b60ea905-df47-4aa3-8d1a-ef2948a6bcf6
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:23:06.771Z
reason:
  New fact is already well-covered by candidates [5b49778e] and [b60ea905], both of which explicitly state the plan delegates to 8 agents with detailed context (acceptance criteria, document location, security/integration phases). The new fact adds no novel information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"An execution plan specifies delegation of work to 8 agents for implementation","type":"procedural","confidence":0.75},"extractionModel":"haiku","factCount":2,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: fd735a5f-8cb1-449c-84d3-328f5c8985eb
memory_id: b60ea905-df47-4aa3-8d1a-ef2948a6bcf6
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:23:06.771Z
reason:
  Candidate [5] already captures this fact explicitly: 'Full execution plan with delegation to 8 agents specified, with security audit and integration testing phases.' The new fact adds no new information beyond what's already documented.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.85,"fact":{"content":"The execution plan includes security audit and integration testing phases","type":"procedural","confidence":0.75},"extractionModel":"haiku","factCount":2,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: ab20699a-eeef-43df-91fa-d21b411610d7
memory_id: be9fca4c-9221-4781-a0f7-51ff90402b3f
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:24:53.188Z
reason:
  Candidate [4] already captures this exact fact: 'The predictive memory scorer plan is documented at docs/wip/predictive-memory-scorer.md'. New fact adds no new information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The predictive memory scorer specification is located at `docs/wip/predictive-memory-scorer.md`","type":"semantic","confidence":0.95},"extractionModel":"haiku","factCount":6,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: ad38596b-e90a-4a6d-8e9c-8265b74882ee
memory_id: bc1438b5-c5f3-41cb-bdcd-4d902537ea78
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T16:24:53.188Z
actor_type: pipeline
old_content:
  ### Feedback Highlights The reviewer validated three core design strengths: (1) Dynamic baseline weighting via RRF with EMA success rate ensures graceful degradation; (2) Zero-dependency Rust sidecar keeps binary size negligible and inference sub-millisecond; (3) Outcome-driven labels via continuity scorer avoids hand-labeling overhead.

new_content:
  Nicholai received detailed external code review feedback on the predictive memory scorer specification

reason:
  New fact provides context that the feedback highlights in [5] came from external code review. Should update [5] to clarify the feedback was from external review process, making the memory more complete about source and nature of the review.


id: 9e7cb9ee-ea8e-407e-ac91-a2a0422a40b6
memory_id: be9fca4c-9221-4781-a0f7-51ff90402b3f
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:24:53.189Z
reason:
  New fact provides context that the feedback highlights in [5] came from external code review. Should update [5] to clarify the feedback was from external review process, making the memory more complete about source and nature of the review.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"bc1438b5-c5f3-41cb-bdcd-4d902537ea78","targetContent":"### Feedback Highlights The reviewer validated three core design strengths: (1) Dynamic baseline weighting via RRF with EMA success rate ensures graceful degradation; (2) Zero-dependency Rust sidecar keeps binary size negligible and inference sub-millisecond; (3) Outcome-driven labels via continuity scorer avoids hand-labeling overhead.","confidence":0.85,"fact":{"content":"Nicholai received detailed external code review feedback on the predictive memory scorer specification","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":6,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":"bc1438b5-c5f3-41cb-bdcd-4d902537ea78","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: e4204904-868c-445d-b1fe-0eb5adaf40dd
memory_id: be9fca4c-9221-4781-a0f7-51ff90402b3f
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:24:53.189Z
reason:
  New fact is already covered by candidate [be9fca4c...], which explicitly states the reviewer 'provided high-level validation of the overall architecture—calling it exceptionally well-thought-out.' The new fact is a restatement of this existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The external code reviewer validated the overall architecture of the predictive memory scorer","type":"fact","confidence":0.9},"extractionModel":"haiku","factCount":6,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 7d0cab0f-292e-4cc4-8096-7b9c9606d25c
memory_id: be9fca4c-9221-4781-a0f7-51ff90402b3f
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:24:53.189Z
reason:
  Candidate [4] already comprehensively covers this fact, including the exact quote 'exceptionally well-thought-out' as part of the external reviewer's validation. No new information or refinement is present.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The external reviewer described the predictive memory scorer's overall architecture as 'exceptionally well-thought-out'","type":"fact","confidence":0.9},"extractionModel":"haiku","factCount":6,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: eeba168b-136b-4da3-b6f4-89a6144d72dd
memory_id: be9fca4c-9221-4781-a0f7-51ff90402b3f
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:24:53.189Z
reason:
  Candidate [3] already captures this fact exactly: 'The vision positions this as Signet's north star feature—the difference between a tool that remembers and a mind that persists.' The new fact is redundant and adds no new information beyond what's already stored.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The North Star vision for the predictive memory scorer is framed as the 'difference between a tool that remembers and a mind that persists'","type":"semantic","confidence":0.9},"extractionModel":"haiku","factCount":6,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 7397bb70-0d6e-4769-85df-de694f82108e
memory_id: be9fca4c-9221-4781-a0f7-51ff90402b3f
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:24:53.189Z
reason:
  Candidate [3] already explicitly states that the reviewer identified five concrete technical refinements. The new fact is redundant and already captured in that memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The external reviewer identified five concrete technical refinements needed for the predictive memory scorer specification","type":"fact","confidence":0.85},"extractionModel":"haiku","factCount":6,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 98c974a0-162b-41f8-82d8-77521bd591fc
memory_id: bc1438b5-c5f3-41cb-bdcd-4d902537ea78
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:25:23.662Z
reason:
  Candidate [4] already contains comprehensive coverage of this fact, including details about the external code review feedback on the predictive memory scorer specification, the reviewer's assessment, and the technical refinements identified. Candidate [5] also covers the core fact. New fact adds no new information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Nicholai received detailed code review feedback from an external source on the predictive memory scorer specification","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":1,"entityCount":2,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: f951bd94-7229-4b4f-8982-a6b749108176
memory_id: 0ed165b8-2d9f-4772-bd29-81e296ae93c4
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:26:10.482Z
reason:
  Candidate [4] already contains this exact technical decision: 'HashTrick bucket count: Bump from 4,096 to 16,384 to reduce collisions in code-heavy memories'. The new fact adds no new information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Increase HashTrick bucket count from 4,096 to 16,384 for better collision reduction in code-heavy memories","type":"decision","confidence":0.85},"extractionModel":"haiku","factCount":2,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 7dc93bf6-fd3d-403b-86c0-b1c4ea28160d
memory_id: 0ed165b8-2d9f-4772-bd29-81e296ae93c4
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:26:10.482Z
reason:
  New fact is already covered by candidate 4 (ID: 0ed165b8), which explicitly states the HashTrick bucket count change from 4,096 to 16,384, mentions the ~1.1M parameters, L2 cache fit, and collision reduction goal. The new fact provides equivalent rationale with minor wording variation.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.85,"fact":{"content":"HashTrick bucket count increase to 16,384 maintains ~1.1M parameters and fits within L2 cache constraints while reducing collisions in code-heavy memory operations","type":"rationale","confidence":0.8},"extractionModel":"haiku","factCount":2,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: cc8478c6-a39a-462b-a90c-3b37adafe5fd
memory_id: ddd13670-c284-43be-b09f-a2c264f2fddf
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:27:22.478Z
reason:
  Candidate [3] already covers this exact information: 'Use T < 1.0 to sharpen soft label distributions'. The new fact is redundant and adds no novel content.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"For listwise loss functions in ranking models, the temperature parameter T should be set to values less than 1.0 (T < 1.0) to sharpen soft label probability distributions","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":3,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 1a18ecd1-b5ad-4815-acbe-8119bdc1228c
memory_id: ddd13670-c284-43be-b09f-a2c264f2fddf
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T16:27:22.478Z
actor_type: pipeline
old_content:
  **Listwise loss temperature**: Use T < 1.0 to sharpen soft label distributions; flat P_true from continuity scorer soft labels requires aggressive sharpening 3.

new_content:
  Using T < 1.0 is necessary because the continuity scorer produces flat (uniform) P_true probability distributions in soft labels, which have weak training signal. Lower temperature values sharpen these distributions to improve ranking loss optimization.

reason:
  New fact provides more detailed rationale for the same core insight: T < 1.0 sharpens flat P_true distributions from continuity scorer. Merge to include explanation of 'weak training signal' and 'ranking loss optimization' context.


id: 3312b6b9-62b9-45c4-b37b-877d21ed4f69
memory_id: ddd13670-c284-43be-b09f-a2c264f2fddf
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:27:22.479Z
reason:
  New fact provides more detailed rationale for the same core insight: T < 1.0 sharpens flat P_true distributions from continuity scorer. Merge to include explanation of 'weak training signal' and 'ranking loss optimization' context.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"ddd13670-c284-43be-b09f-a2c264f2fddf","targetContent":"**Listwise loss temperature**: Use T < 1.0 to sharpen soft label distributions; flat P_true from continuity scorer soft labels requires aggressive sharpening 3.","confidence":0.85,"fact":{"content":"Using T < 1.0 is necessary because the continuity scorer produces flat (uniform) P_true probability distributions in soft labels, which have weak training signal. Lower temperature values sharpen these distributions to improve ranking loss optimization.","type":"rationale","confidence":0.8},"extractionModel":"haiku","factCount":3,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":"ddd13670-c284-43be-b09f-a2c264f2fddf","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: e845d0b2-eafc-46bf-8ef8-d17835aed6a6
memory_id: ddd13670-c284-43be-b09f-a2c264f2fddf
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-25T16:27:22.479Z
actor_type: pipeline
old_content:
  Using T < 1.0 is necessary because the continuity scorer produces flat (uniform) P_true probability distributions in soft labels, which have weak training signal. Lower temperature values sharpen these distributions to improve ranking loss optimization.

new_content:
  Temperature T < 1.0 in softmax sharpens a probability distribution by concentrating probability mass into peaked distributions rather than uniform distributions, making soft labels more selective

reason:
  New fact provides technical clarification of the sharpening mechanism already referenced in candidate #3. Both discuss T < 1.0 sharpening soft label distributions. The new fact explains the mechanism (concentration into peaked distributions) while the existing memory mentions the application (listwise loss). Merge them for a more complete understanding.


id: 3d3efe12-8f44-4c4f-923b-2fc71fdea769
memory_id: ddd13670-c284-43be-b09f-a2c264f2fddf
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:27:22.479Z
reason:
  New fact provides technical clarification of the sharpening mechanism already referenced in candidate #3. Both discuss T < 1.0 sharpening soft label distributions. The new fact explains the mechanism (concentration into peaked distributions) while the existing memory mentions the application (listwise loss). Merge them for a more complete understanding.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"ddd13670-c284-43be-b09f-a2c264f2fddf","targetContent":"**Listwise loss temperature**: Use T < 1.0 to sharpen soft label distributions; flat P_true from continuity scorer soft labels requires aggressive sharpening 3.","confidence":0.85,"fact":{"content":"Temperature T < 1.0 in softmax sharpens a probability distribution by concentrating probability mass into peaked distributions rather than uniform distributions, making soft labels more selective","type":"semantic","confidence":0.85},"extractionModel":"haiku","factCount":3,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":"ddd13670-c284-43be-b09f-a2c264f2fddf","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 7f5843cc-9fb8-4401-9493-23a68585bc18
memory_id: 764e7351-4189-403c-8a5f-025401ede90e
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:28:05.350Z
reason:
  Existing memory 764e7351-4189-403c-8a5f-025401ede90e already captures this exact fact: 'Apply cosine similarity filter before assigning strict 0.0 labels' in the negative sample filtering context. No new information to add.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Negative sample filtering applies a cosine similarity filter before assigning strict 0.0 labels","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":2,"entityCount":2,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 709cae07-c965-4168-a9f1-8c4f98955b04
memory_id: 764e7351-4189-403c-8a5f-025401ede90e
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:28:05.350Z
reason:
  New fact is already captured by candidate [4] which states the same principle about cosine similarity filtering preventing training model mistakes in negative sample filtering. The wording is slightly more detailed but the information is identical.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Applying cosine similarity filtering before assigning strict 0.0 labels in negative sample filtering prevents the training model from replicating baseline mistakes","type":"rationale","confidence":0.85},"extractionModel":"haiku","factCount":2,"entityCount":2,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: c951c71f-fe2a-4eb8-b736-4ee473ab1129
memory_id: 5f58b02e-802a-482d-aa4d-5623d5293df5
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:29:06.338Z
reason:
  Candidate [5] already captures the drift reset strategy detail: replay buffer (80% recent + 20% historical by continuity score) instead of 2x learning rate. New fact is covered with greater specificity in existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The drift reset strategy uses a replay buffer instead of 2x learning rate increase for memory model training","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 16c0d25d-aafd-4f96-b5fc-2a32e8f7ff7d
memory_id: 5f58b02e-802a-482d-aa4d-5623d5293df5
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:29:06.338Z
reason:
  New fact is already covered by candidate [5] (ID: 5f58b02e-802a-482d-aa4d-5623d5293df5), which states the exact same replay buffer composition (80% recent + 20% historical by continuity score) as the drift reset strategy. No new information to capture.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.98,"fact":{"content":"The drift reset replay buffer composition is 80% recent data and 20% historical data, with historical data weighted by continuity score","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: b27ae952-2282-4cfe-a6fe-47d5dbad6f09
memory_id: 5f58b02e-802a-482d-aa4d-5623d5293df5
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:29:06.338Z
reason:
  Candidate [5] already captures this exact rationale: 'Use replay buffer instead of 2x learning rate to avoid catastrophic forgetting'. The new fact restates the same decision and reasoning without adding new information or nuance.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The replay buffer approach was chosen over 2x learning rate to avoid catastrophic forgetting in the memory model during drift reset","type":"rationale","confidence":0.9},"extractionModel":"haiku","factCount":3,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 480249a3-c6e9-4da6-8d43-d173ee2e1a31
memory_id: c25213b3-6893-4405-9eb9-cd72417b4cd8
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:30:04.964Z
reason:
  Candidate 5 already contains this exact recommendation: 'RRF constant k: Drop from 60 to 10–15 for ~50 candidate memories; k=60 compresses rank variance when candidate list is small'. The new fact is a duplicate of existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":"c25213b3-6893-4405-9eb9-cd72417b4cd8","targetContent":"**RRF constant k**: Drop from 60 to 10–15 for ~50 candidate memories; k=60 compresses rank variance when candidate list is small All five recommendations are sound and likely to be incorporated into the specification.","confidence":0.95,"fact":{"content":"The RRF (Reciprocal Rank Fusion) constant k parameter should be tuned from 60 to 10-15 when working with approximately 50 candidate memories to improve ranking effectiveness","type":"decision","confidence":0.85},"extractionModel":"haiku","factCount":3,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: f8ae94a3-22ce-4bf1-98de-b349ea242b88
memory_id: c25213b3-6893-4405-9eb9-cd72417b4cd8
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:30:04.964Z
reason:
  Existing memory [3] already documents the core fact: k=60 compresses rank variance when candidate list is small, and recommends dropping to 10–15 for ~50 candidates. New fact adds rationale (reduces effectiveness) but no new actionable information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"k=60 causes excessive compression of rank variance when the candidate memory list is small, reducing the effectiveness of the ranking algorithm","type":"rationale","confidence":0.8},"extractionModel":"haiku","factCount":3,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: a0f9094c-c69b-47fa-9e18-af231af9baee
memory_id: c25213b3-6893-4405-9eb9-cd72417b4cd8
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:30:04.964Z
reason:
  Candidate [5] already comprehensively covers the RRF constant k tuning recommendation and explicitly states it is sound and likely to be incorporated into the specification. New fact adds no new information beyond what is already captured.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The RRF constant k tuning recommendation is sound and likely to be incorporated into the Signet specification","type":"decision","confidence":0.8},"extractionModel":"haiku","factCount":3,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 4d02fae1-0a6a-490d-842b-a01e2c3dae5d
memory_id: 94c3764f-d3c2-41f4-a204-3fe6129024f7
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:31:17.998Z
reason:
  Candidate [4] already captures this exact decision in greater detail: training microgpt character-level model on ~/.agents/memory/memories.db to explore hallucination patterns. New fact is a more abstract restatement of the same proposal.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Nicholai proposed training a character-level GPT model on personal memory database at ~/.agents/memory/memories.db to explore model hallucination patterns","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: aa0d2759-67c2-43da-b4e0-54b7c9947e9e
memory_id: 94c3764f-d3c2-41f4-a204-3fe6129024f7
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:31:17.998Z
reason:
  Existing memory #4 already explicitly states 'Rust implementation at `references/microgpt/src/main.rs`' in the context of the character-level model training experiment. New fact is redundant.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The microgpt character-level model is implemented in Rust at references/microgpt/src/main.rs","type":"fact","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: a5c1b1a4-c99c-4372-8265-0a0fc5bc9edc
memory_id: 94c3764f-d3c2-41f4-a204-3fe6129024f7
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:31:17.998Z
reason:
  Candidate [5] already captures this exact concept: character-level GPT training on memory database as a 'funhouse-mirror experiment' to see what the model hallucinates on personal agent memories. New fact is redundant.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The experiment is framed as a 'funhouse-mirror' approach - exploring what the model generates/hallucinates when trained exclusively on Nicholai's personal agent memories","type":"rationale","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: dbb093af-cb6c-4ec3-a9bb-c26fa03ad5cb
memory_id: 94c3764f-d3c2-41f4-a204-3fe6129024f7
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:31:17.998Z
reason:
  Candidate [4] already explicitly covers this fact: 'training the microgpt character-level model... on personal memory data from ~/.agents/memory/memories.db'. The new fact is redundant with existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The training data source for the microgpt experiment is the personal memory SQLite database at ~/.agents/memory/memories.db","type":"fact","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 44cf1ca6-0fff-4937-8cc0-8fccdd5a3ae5
memory_id: 4e869c1d-97ab-4422-9069-4dd57d5265cb
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:33:57.150Z
reason:
  Candidate [4] already contains this exact finding: '5348 memory records' with additional schema metadata. New fact is redundant with existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The Signet memories database contains 5348 memory records as of investigation","type":"fact","confidence":0.9},"extractionModel":"haiku","factCount":10,"entityCount":10,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 6c7a42b1-d248-4431-8c61-de140326ca04
memory_id: 4e869c1d-97ab-4422-9069-4dd57d5265cb
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:33:57.151Z
reason:
  Candidate 1 (ID: 4e869c1d-97ab-4422-9069-4dd57d5265cb) already comprehensively documents the memories table schema, explicitly listing 'content (TEXT)' as a field along with other metadata. New fact is a subset of existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The `memories` table schema includes a content field of type TEXT that stores memory text data","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":10,"entityCount":10,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: b7fa0c88-3bac-4772-9421-9b02e05db9bc
memory_id: 4e869c1d-97ab-4422-9069-4dd57d5265cb
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:33:57.151Z
reason:
  Existing memory [5] already comprehensively documents the memories table schema, including the type field with categories (fact/preference/decision/etc), plus additional metadata (tags, importance, confidence, category, timestamps, source tracking, extraction status). New fact is a subset of already-documented schema.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The `memories` table includes a type field for classifying memories into categories: fact, preference, decision, and others","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":10,"entityCount":10,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 2985c27e-d1ef-4199-8603-21cbe57aa337
memory_id: 4e869c1d-97ab-4422-9069-4dd57d5265cb
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:33:57.151Z
reason:
  Candidate 4 already documents that the `memories` table contains 'tags' as part of its rich metadata. The new fact adds minimal specificity ('for metadata tagging and flexible categorization') but the core information is already captured and sufficient.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The `memories` table includes tags field for metadata tagging and flexible categorization of memories","type":"fact","confidence":0.9},"extractionModel":"haiku","factCount":10,"entityCount":10,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 65ff86ba-0378-49fa-a5b5-cf7912310380
memory_id: 4e869c1d-97ab-4422-9069-4dd57d5265cb
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:33:57.151Z
reason:
  Candidate [5] already documents the importance field as part of the memories table schema, explicitly stating 'importance (0.0-1.0)' among the rich metadata. The new fact is fully covered by existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"The `memories` table includes an importance field with numeric values ranging from 0.0 to 1.0 to score memory significance","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":10,"entityCount":10,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: adb607b9-b431-41bb-9b30-aa363937db07
memory_id: 4e869c1d-97ab-4422-9069-4dd57d5265cb
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:33:57.151Z
reason:
  Candidate 5 (4e869c1d-97ab-4422-9069-4dd57d5265cb) already covers this fact, explicitly listing 'confidence' as a field in the memories table schema. No new information to store.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The `memories` table includes a confidence field to track certainty/reliability levels of stored memories","type":"fact","confidence":0.9},"extractionModel":"haiku","factCount":10,"entityCount":10,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: ff6100c3-543b-4691-b4bf-a06c627a1284
memory_id: 4e869c1d-97ab-4422-9069-4dd57d5265cb
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:33:57.151Z
reason:
  Candidate [5] already documents the memories table schema and explicitly lists 'category' as a metadata field. New fact adds minor detail about purpose (organizing into semantic groupings) but is substantively redundant with existing schema documentation.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The `memories` table includes a category field for organizing memories into semantic groupings","type":"fact","confidence":0.9},"extractionModel":"haiku","factCount":10,"entityCount":10,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 283f2521-38a1-43a1-abc3-4627d356798a
memory_id: 4e869c1d-97ab-4422-9069-4dd57d5265cb
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:33:57.151Z
reason:
  Candidate [5] already documents that the `memories` table contains 'timestamps' as part of its rich metadata. The new fact (timestamp fields for creation/update tracking) is a specific detail of what's already recorded in the existing memory about the database schema.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The `memories` table includes timestamp fields for tracking memory creation and update times","type":"fact","confidence":0.9},"extractionModel":"haiku","factCount":10,"entityCount":10,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 3398e58d-7b65-473b-82c9-30b48c0bb739
memory_id: 4e869c1d-97ab-4422-9069-4dd57d5265cb
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:33:57.151Z
reason:
  Candidate [5] already documents the memories table schema with explicit mention of 'source tracking' as metadata. New fact is subsumed by existing, more detailed memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The `memories` table includes source tracking fields to record the origin point of each memory (conversation, inference, etc)","type":"fact","confidence":0.9},"extractionModel":"haiku","factCount":10,"entityCount":10,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: eb05847a-a6a3-48b7-a7e5-7a8e2d04bab8
memory_id: 4e869c1d-97ab-4422-9069-4dd57d5265cb
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:33:57.151Z
reason:
  Candidate #4 already documents that the `memories` table includes 'extraction status' as part of its metadata. The new fact provides implementation detail about the field's purpose (tracking processing/ingestion state), but this is already captured by the existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"The `memories` table includes an extraction status field to track the processing/ingestion state of memory records","type":"fact","confidence":0.9},"extractionModel":"haiku","factCount":10,"entityCount":10,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: f319996a-5768-4983-9c08-09d667445887
memory_id: ffaf3a74-b01d-4698-894e-9ed2f0f25a4d
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:35:41.567Z
reason:
  Candidate [4] already covers this fact comprehensively, stating 'The database includes FTS5 full-text search indexes' along with additional context about vector embeddings and model architecture. New fact is a subset of existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The database includes FTS5 full-text search indexes for text retrieval","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":6,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 4aa43699-6e5b-4e46-8b72-e5d8606a23cf
memory_id: ffaf3a74-b01d-4698-894e-9ed2f0f25a4d
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:35:41.567Z
reason:
  Existing candidate #5 already covers this fact comprehensively, stating 'The database includes FTS5 full-text search indexes and vector embeddings infrastructure.' The new fact is subsumed by this existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The database includes vector embeddings infrastructure for semantic search","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":6,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 74b8c625-580b-4af7-9b17-64ab0d361e5c
memory_id: ffaf3a74-b01d-4698-894e-9ed2f0f25a4d
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:35:41.567Z
reason:
  Candidate [5] (ffaf3a74-b01d-4698-894e-9ed2f0f25a4d) already contains the exact fact: 'The character-level model is tiny (48 embedding dimensions, 2 layers, 4 attention heads)'. No new information to add.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.98,"fact":{"content":"The character-level embedding model uses 48 embedding dimensions","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":6,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: a75a768b-a752-4656-9cb1-95931c6eb4b5
memory_id: ffaf3a74-b01d-4698-894e-9ed2f0f25a4d
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:35:41.567Z
reason:
  New fact is already covered by existing candidate [5], which explicitly states 'The character-level model is tiny (48 embedding dimensions, 2 layers, 4 attention heads)'. No new information to add.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":"ffaf3a74-b01d-4698-894e-9ed2f0f25a4d","targetContent":"The database includes FTS5 full-text search indexes and vector embeddings infrastructure. The character-level model is tiny (48 embedding dimensions, 2 layers, 4 attention heads) and expects line-delimited text input.","confidence":0.95,"fact":{"content":"The character-level embedding model has 2 layers in its architecture","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":6,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 52a42f3f-57e5-40c6-a651-1704c3801dd3
memory_id: ffaf3a74-b01d-4698-894e-9ed2f0f25a4d
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:35:41.567Z
reason:
  Candidate [5] already explicitly contains this fact: 'The character-level model is tiny (48 embedding dimensions, 2 layers, 4 attention heads)' - the new fact is fully covered

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.98,"fact":{"content":"The character-level embedding model has 4 attention heads","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":6,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 05f73dab-f733-4680-8e63-1c544fdc9005
memory_id: ffaf3a74-b01d-4698-894e-9ed2f0f25a4d
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:35:41.567Z
reason:
  Candidate [4] already explicitly states the model 'expects line-delimited text input'. The new fact is exactly covered by existing memory and adds no new information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":"ffaf3a74-b01d-4698-894e-9ed2f0f25a4d","targetContent":"The database includes FTS5 full-text search indexes and vector embeddings infrastructure. The character-level model is tiny (48 embedding dimensions, 2 layers, 4 attention heads) and expects line-delimited text input.","confidence":1,"fact":{"content":"The character-level embedding model expects line-delimited text as input format","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":6,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 7cd30a84-f180-4c64-83bf-52a9e593b215
memory_id: 9afb3e82-bc69-4c30-a583-1b541c8c6c79
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:36:58.318Z
reason:
  New fact is functionally identical to existing memory 9afb3e82-bc69-4c30-a583-1b541c8c6c79, which already captures that feasibility depends on formatting memories in a way models can meaningfully learn from (raw content vs structured summaries). Both represent the same conceptual insight.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The feasibility of memory extraction depends on formatting memories in a way that language models can meaningfully learn from the extracted data","type":"semantic","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 7420dbb8-8247-42ef-94fa-d0bcbdcc9bf5
memory_id: 9afb3e82-bc69-4c30-a583-1b541c8c6c79
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:36:58.319Z
reason:
  Existing candidate [5] already captures this concept: explicitly mentions 'raw content lines or structured summaries' as the two explored formats for memory extraction. New fact is a restatement of information already in the memory system.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"Two format approaches were explored for memory extraction: raw content lines and structured summaries","type":"decision","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: aa138d95-c49d-4b8e-a771-262179ac1df8
memory_id: 9afb3e82-bc69-4c30-a583-1b541c8c6c79
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:36:58.319Z
reason:
  Candidate [5] already covers this fact explicitly: 'No implementation work began; this was pure exploration of the concept and data shape.' The new fact is a restatement of content already in memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"No implementation work has begun on memory extraction formatting—this was pure exploratory and conceptual work","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 26e0009e-ec87-4b1d-a968-5497c9ea69e4
memory_id: 9afb3e82-bc69-4c30-a583-1b541c8c6c79
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T16:36:58.319Z
reason:
  New fact is already covered by candidate 5 (9afb3e82...), which states 'feasibility depends on extracting memories in a format the model can meaningfully learn from.' The new fact is a more abstract restatement of the same core insight about format viability and model learning capability.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"Memory extraction format viability depends on whether the format enables models to meaningfully learn patterns from the extracted memory content","type":"rationale","confidence":0.8},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 16ef016d-1ff0-42a9-b3cc-9fd183f9a1a6
memory_id: 5555beba-ebb2-4cd9-a537-da76e0b4f216
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T17:05:54.996Z
reason:
  Candidate [4] already comprehensively covers this fact: it explicitly states that initial exploration examined the LlmProvider interface in packages/core/src/types.ts. The new fact adds no materially new information beyond what's already documented.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"The LlmProvider interface is examined during initial exploration and is located in packages/core/src/types.ts","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 4b985880-4c0e-4327-b0c5-8fd90fe3733f
memory_id: 5555beba-ebb2-4cd9-a537-da76e0b4f216
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T17:05:54.997Z
reason:
  Candidate [5] already explicitly covers pipeline configuration types in packages/core/src/types.ts as part of initial exploration. New fact is redundant.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"Pipeline configuration types are examined during initial exploration and are located in packages/core/src/types.ts","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: c7738b4c-d12e-46d2-bc1f-47ed5598122b
memory_id: 5555beba-ebb2-4cd9-a537-da76e0b4f216
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T17:05:54.997Z
reason:
  Candidate [3] already captures this exact information: 'Plan mode was used at the start of the session to scope the investigation before proceeding with implementation work.' The new fact is redundant with existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The session began in plan mode to scope the investigation before implementation work","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 2b769254-4ef1-4381-8d88-fa12c2ad35b5
memory_id: 5555beba-ebb2-4cd9-a537-da76e0b4f216
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T17:05:54.997Z
reason:
  Candidate [4] already captures the exact same information: initial exploration of core types system focused on LlmProvider interface and pipeline configuration types for investigation scoping. No new information to add or update.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Initial exploration of the core types system focused on the LlmProvider interface and pipeline configuration types as part of investigation scoping","type":"procedural","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 19e86662-b507-4862-9d5e-563818574b5e
memory_id: 1c4cfb01-f62c-48b2-9ff6-36a137345a79
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T17:06:45.881Z
reason:
  New fact is already comprehensively covered by candidate [5] (ID: 1c4cfb01-f62c-48b2-9ff6-36a137345a79), which specifies the same principle: T < 1.0 sharpens soft label distributions in listwise loss. Candidate [5] provides additional context about flat P_true requiring aggressive sharpening. No new information to add or refine.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Listwise loss temperature parameter should be set to T < 1.0 to sharpen soft label probability distributions","type":"procedural","confidence":0.85},"extractionModel":"haiku","factCount":3,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 6f4a1ef8-c370-4da8-abc7-8ada193fed6c
memory_id: 1c4cfb01-f62c-48b2-9ff6-36a137345a79
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T17:06:45.881Z
reason:
  Candidate [4] already captures this exact insight: 'flat P_true from continuity scorer soft labels requires aggressive sharpening'. The new fact is semantically identical and adds no new information beyond what's already stored.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Soft labels produced by the continuity scorer may form flat P_true distributions that require aggressive temperature sharpening","type":"semantic","confidence":0.8},"extractionModel":"haiku","factCount":3,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 12fb101f-d019-4020-a8db-9914df4b6c97
memory_id: 1c4cfb01-f62c-48b2-9ff6-36a137345a79
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T17:06:45.881Z
reason:
  New fact is semantically identical to existing memory [3]. Both express that T < 1.0 sharpens soft label distributions by reducing entropy/concentrating probability mass. Candidate [3] is already well-formulated and covers this knowledge.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":"ddd13670-c284-43be-b09f-a2c264f2fddf","targetContent":"Temperature T < 1.0 in softmax sharpens a probability distribution by concentrating probability mass into peaked distributions rather than uniform distributions, making soft labels more selective","confidence":0.95,"fact":{"content":"Temperature values less than 1.0 sharpen soft label distributions by reducing the entropy of probability predictions","type":"semantic","confidence":0.85},"extractionModel":"haiku","factCount":3,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 1803d870-9ab6-4442-a4d6-c5532505d60b
memory_id: 76a12047-958d-4cd6-b7bf-0fd2f2aeda5f
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T17:07:44.383Z
reason:
  Candidate [4] already captures this fact: it explicitly describes 'heuristic baseline scoring (decay + BM25)' as the foundation of the per-user memory ranking model. The new fact is a specific detail already present in the existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"A per-user memory ranking model uses heuristic baseline scoring that combines decay and BM25 algorithms","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 00933697-e8f5-4633-a66d-50443a7e07d3
memory_id: 76a12047-958d-4cd6-b7bf-0fd2f2aeda5f
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T17:07:44.383Z
reason:
  Candidate [3] already explicitly captures this concept: 'comprehensive system for training a per-user memory ranking model that evolves from heuristic baseline scoring (decay + BM25) to learned predictions using a lightweight cross-attention architecture.' The new fact adds no substantive detail beyond what's already documented.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The per-user memory ranking model evolves from heuristic baseline scoring to learned predictions","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: cd72a898-0db7-4d4e-ab37-68fd8251ebbd
memory_id: 76a12047-958d-4cd6-b7bf-0fd2f2aeda5f
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T17:07:44.383Z
reason:
  Candidate [4] already captures this exact detail: 'learned predictions using a lightweight cross-attention architecture' is explicitly stated in the comprehensive memory ranking system description. New fact is redundant with existing knowledge.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"The learned predictions component of the memory ranking model uses a lightweight cross-attention architecture","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: bec60dd6-79d2-47cc-a522-661e6b7e7d98
memory_id: 76a12047-958d-4cd6-b7bf-0fd2f2aeda5f
event: none
changed_by: pipeline-v2
created_at: 2026-02-25T17:07:44.383Z
reason:
  New fact is already well-covered by candidates 4 and 5. Candidate 4 explicitly describes 'training a per-user memory ranking model' and candidate 5 details 'per-user model trained on interaction history.' Both capture the trainable, personalized nature. No new information to add.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The memory ranking system is designed to be trainable on a per-user basis, allowing personalized ranking behavior","type":"semantic","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: d990390f-081d-45cb-ac5f-3b012b7b27ae
memory_id: e4c14c73-3633-4d70-a356-92fbd7cbc102
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:01:23.365Z
reason:
  Candidate [5] (ID: e4c14c73-3633-4d70-a356-92fbd7cbc102) already captures this exact request: 'Nicholai requested adding a real-time, interactive visualization of the memory pipeline to the Signet dashboard.' Candidate [4] provides complementary planning details about implementation strategy. No new information to store.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Nicholai requested adding a real-time, interactive visualization of the memory pipeline to the Signet dashboard","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 27e162b2-c3c1-4779-ae71-952d29dcaa2e
memory_id: e4c14c73-3633-4d70-a356-92fbd7cbc102
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:01:23.365Z
reason:
  Candidate [4] already covers this fact: it states 'The Signet dashboard currently references static memory pipeline diagrams at public/memory-loop-v2.jpg and docs/memory-loop.mmd'. The new fact is semantically identical (same paths, same diagram formats), just phrased as 'diagrams exist' rather than 'dashboard references'. No new information to capture.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Static memory pipeline diagrams currently exist at public/memory-loop-v2.jpg (image format) and docs/memory-loop.mmd (Mermaid format)","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 1d8037b6-41b6-4579-a08a-69d6a3d12dda
memory_id: e4c14c73-3633-4d70-a356-92fbd7cbc102
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:01:23.365Z
reason:
  New fact is already comprehensively covered by candidate [5] (e4c14c73-3633-4d70-a356-92fbd7cbc102), which explicitly mentions 'data flowing through extraction workers, database operations, and retention systems' as part of the pipeline visualization planning. No new information is added.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The memory pipeline visualization component should display data flowing through extraction workers, database operations, and retention systems","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 92643eef-5c89-4202-b3d8-d32c0bd01ee9
memory_id: e4c14c73-3633-4d70-a356-92fbd7cbc102
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:01:23.365Z
reason:
  Candidate [5] already comprehensively covers this decision with more specific details (memory pipeline visualization, static diagram sources, data flow elements, and Nicholai's request). The new fact restates the core requirement without adding new information beyond what's already captured.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The implementation requires converting static diagram representations into a live, interactive component for the Signet dashboard","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 17279c5a-bc1a-474a-ba50-bce02392e022
memory_id: 2ab333a9-0aa3-4b2a-b4f2-ba367d640d22
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:02:06.504Z
reason:
  Candidate [5] (ID: 2ab333a9-0aa3-4b2a-b4f2-ba367d640d22) already captures this exact task: 'Bug Hunt Session Initiated Nicholai tasked Claude to find and fix bugs in the signetai codebase.' The new fact is redundant and already covered by existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Claude is tasked with finding and fixing bugs in the signetai codebase","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":2,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: eba0aa12-925e-41d8-a3bb-f077ec782c5f
memory_id: 2ab333a9-0aa3-4b2a-b4f2-ba367d640d22
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:02:06.504Z
reason:
  This procedural guideline is already well-captured by existing memories, particularly candidate [4] which states the same prioritization rule (functionality breaks over non-critical issues), and candidate [2] which documents the bug hunt strategy. The new fact adds no new information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"When finding and fixing bugs in the signetai codebase, prioritize issues that break functionality over minor issues","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":2,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 65606b95-f2b7-4c74-bee1-974f51363fe8
memory_id: 99323a4c-d589-4f4d-afe2-654eb5fcc9c9
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:03:05.801Z
reason:
  Candidate [5] already comprehensively covers RRF-based ranking fusion with earned influence, cold start strategy, and NDCG-based progression. The new fact is a subset of existing documented information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.98,"fact":{"content":"The ranking system uses RRF (Reciprocal Rank Fusion) as its fusion method","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 2485402a-44d9-43eb-9c21-56115948ddd3
memory_id: 99323a4c-d589-4f4d-afe2-654eb5fcc9c9
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:03:05.801Z
reason:
  Candidate [3] already explicitly captures this fact: 'earned influence (α) that adjusts based on session-end NDCG comparison wins'. The new fact is a restatement of the same concept with expanded terminology (NDCG spelled out). Candidate [2] also documents the rationale for this mechanism.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Earned influence parameter (α) adjusts dynamically based on session-end NDCG (Normalized Discounted Cumulative Gain) comparison wins","type":"semantic","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 9e10faa5-0fa6-42c0-91e5-e90f51d1a2a3
memory_id: 99323a4c-d589-4f4d-afe2-654eb5fcc9c9
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:03:05.801Z
reason:
  Candidate [5] already explicitly covers this exact concept: 'Cold start with pure baseline fallback, progressing to active prediction after 10+ sessions and >40% success rate threshold.' The new fact is already captured in existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Cold start phase uses pure baseline fallback for ranking decisions before learned influence is available","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 787f9dde-d513-43ba-9830-83ebe7569e50
memory_id: 99323a4c-d589-4f4d-afe2-654eb5fcc9c9
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:03:05.801Z
reason:
  This fact is already captured in candidate 99323a4c, which explicitly states the cold start→active prediction transition occurs after '10+ sessions and >40% success rate threshold.' The new fact is a restatement of existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"System transitions from cold start to active prediction mode after meeting thresholds: 10+ sessions AND >40% success rate","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 5d1aaa23-ea06-4223-b262-bc4debf1b348
memory_id: 512c029e-7c9c-45e5-ae8f-b8ca7440ee35
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:03:56.448Z
reason:
  New fact is already covered by candidate [4] (ID: 147826fa-e0ea-4410-b029-53e06172aaae), which contains identical information about unified search combining skills.sh API search with client-side filtering of cached ClawHub catalog

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Unified search feature combines skills.sh API search with client-side filtering of a cached ClawHub catalog","type":"semantic","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: bba138d6-390d-42be-a63c-f2d9b8724efd
memory_id: 512c029e-7c9c-45e5-ae8f-b8ca7440ee35
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:03:56.448Z
reason:
  Candidate [5] already captures this as 'Implementation step 1: Add ClawHub cache + fetch logic in packages/daemon/src/daemon.ts' as part of the unified search execution order. Candidate [3] also covers this as a procedural fact. The new fact is redundant and already well-represented in existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Implementation step 1: Add ClawHub cache and fetch logic to packages/daemon/src/daemon.ts","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":3,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 722c66d8-97fb-49a1-9db8-35cec9c1cc3d
memory_id: 512c029e-7c9c-45e5-ae8f-b8ca7440ee35
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:03:56.448Z
reason:
  Candidate #3 (455cb002-2fed-425d-b691-d9de42e7a4b0) already captures this exact requirement: 'The `/api/skills/browse` and `/api/skills/search` endpoints are updated to merge multiple skills provider sources'. The new fact is a restatement of the same implementation step, already well-documented in existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"Implementation step 2: Update /api/skills/browse and /api/skills/search endpoints to merge multiple search provider results","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":3,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: de081284-09a7-4f3b-81c8-b3e4f09eb3f8
memory_id: b9556620-1107-4b4b-ae42-faeb8c668206
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:04:49.220Z
reason:
  Candidate [5] already captures this fact precisely: 'The session focused on understanding OpenClaw's architecture and contribution protocols to propose a high-impact feature.' The new fact is redundant with existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"A session was conducted to understand OpenClaw's architecture and contribution protocols","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 7e93dc36-e8ce-4779-a477-8ed88b3f35b9
memory_id: e09c9f26-613e-4d81-a9a1-378470dba1f2
event: updated
old_content: OpenClaw has documented architecture that can be studied
changed_by: pipeline-v2
metadata: {"changedFields":["content"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-26T07:04:49.220Z
actor_type: pipeline
new_content:
  OpenClaw has architecture documentation and contribution protocols that need to be understood before proposing features

reason:
  The new fact expands candidate 4 by specifying that OpenClaw has both architecture documentation AND contribution protocols, and importantly adds the context that these must be understood before proposing features. This is a more complete and actionable statement.


id: acb57d38-1acc-4f43-9fa9-929c006ac1f9
memory_id: b9556620-1107-4b4b-ae42-faeb8c668206
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:04:49.222Z
reason:
  The new fact expands candidate 4 by specifying that OpenClaw has both architecture documentation AND contribution protocols, and importantly adds the context that these must be understood before proposing features. This is a more complete and actionable statement.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"e09c9f26-613e-4d81-a9a1-378470dba1f2","targetContent":"OpenClaw has documented architecture that can be studied","confidence":0.9,"fact":{"content":"OpenClaw has architecture documentation and contribution protocols that need to be understood before proposing features","type":"semantic","confidence":0.85},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":"e09c9f26-613e-4d81-a9a1-378470dba1f2","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 0f1e96f3-b6db-4749-b567-fe7fc9622507
memory_id: b9556620-1107-4b4b-ae42-faeb8c668206
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:04:49.222Z
reason:
  New fact is already captured by existing candidate [5], which states the session focused on understanding OpenClaw's architecture and contribution protocols to propose a high-impact feature. The new fact is a less specific restatement of the same concept.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The session objective was to gather knowledge needed to propose a high-impact feature for OpenClaw","type":"decision","confidence":0.85},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 1404d420-d106-4a37-9914-7d49dba67e65
memory_id: cc0dfd67-8647-4618-bfab-adcd01f3892b
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:06:07.752Z
reason:
  Candidate 5 already contains this exact information: 'Initially deployed an Explore agent to investigate: - OpenClaw's memory-lancedb extension/plugin implementation (storage, search, creation patterns)'. The new fact is redundant with existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"An Explore agent was deployed to investigate OpenClaw's memory-lancedb extension implementation, focusing on storage patterns, search implementations, and creation patterns","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 12e4352c-324a-4c57-ad15-8dfabb5c381f
memory_id: cc0dfd67-8647-4618-bfab-adcd01f3892b
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:06:07.752Z
reason:
  Candidate [4] already explicitly documents the investigation of 'OpenClaw's plugin/extension architecture and registration APIs'. The new fact restates what's already captured in that memory entry.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.98,"fact":{"content":"The research examined OpenClaw's plugin/extension architecture and its API registration mechanisms","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 7a29f2c9-6258-4c2b-b5be-9f54f6d37611
memory_id: cc0dfd67-8647-4618-bfab-adcd01f3892b
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:06:07.752Z
reason:
  Candidate [5] contains identical information: 'OpenClaw's contribution guidelines including PR templates and CONTRIBUTING.md were reviewed as part of the investigation'. New fact is already captured in existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.98,"fact":{"content":"The research reviewed OpenClaw's contribution guidelines including PR templates and CONTRIBUTING.md documentation","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: e7abf017-2b0c-40d3-89d8-541a985d5fe6
memory_id: cc0dfd67-8647-4618-bfab-adcd01f3892b
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:06:07.752Z
reason:
  Candidate [1] directly states 'Memory-core base interfaces were studied as part of the research' which is a complete match for the new fact. Additionally, candidate [5] also includes this as part of the investigation scope. The fact is already well-covered by existing memories.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The research examined memory-core base interfaces","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 8eef89c8-0adf-4afd-9dc6-bed15bbeeeef
memory_id: cc0dfd67-8647-4618-bfab-adcd01f3892b
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:06:07.752Z
reason:
  Candidate [3] (ID: 67c75a72-f603-4e85-af53-93839b485f77) already captures this exact rationale with identical content. The new fact restates the same understanding without adding new information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The research phase was designed to understand OpenClaw's memory tool schemas, search implementations, and storage formats as a prerequisite before proposing a contribution to the project","type":"rationale","confidence":0.9},"extractionModel":"haiku","factCount":5,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: ee054c50-ce97-46d0-ae70-5fc8d5af370f
memory_id: d6d4d4cf-737c-47d1-b8a9-1e7b9ce87192
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:06:54.911Z
reason:
  New fact is already covered by existing candidates #4 and #5, which explicitly document that the CI workflow was modified to add changelog generation to the release process. Candidate #4 (decision-type) provides implementation details, and #5 (fact-type) describes the outcome.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The CI workflow was modified to add changelog generation to the release process","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 3739405f-18bb-4a71-afc2-29470f58477a
memory_id: d6d4d4cf-737c-47d1-b8a9-1e7b9ce87192
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:06:54.911Z
reason:
  New fact is already comprehensively covered by candidate [5] (d6d4d4cf...), which states: 'CI workflow modification adds changelog generation to release process, appending CHANGELOG.md to the release commit alongside version bumps.' The new fact adds no new information beyond what's already stored.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.98,"fact":{"content":"During the release process, CHANGELOG.md is appended to the release commit alongside version bumps","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: be7b6e5a-74d4-4d0a-8551-a6776900d7a8
memory_id: d6d4d4cf-737c-47d1-b8a9-1e7b9ce87192
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:06:54.911Z
reason:
  The filename 'CHANGELOG.md' is already explicitly documented in existing candidates 4 and 5, which describe the CI workflow generating and appending CHANGELOG.md during releases. The new fact adds no novel information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The changelog file is named CHANGELOG.md","type":"semantic","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 0faf2cd9-b263-4a37-b686-0596789c62ea
memory_id: acdc4385-8929-4ed1-b8ef-d63840e09b04
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:07:31.968Z
reason:
  Candidate [5] already captures this exact information: Nicholai's interest in discovering Steam API endpoints beyond store pages for live website data. New fact is redundant.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Nicholai is interested in discovering Steam API endpoints that could provide live data to the website beyond what simple store pages offer","type":"preference","confidence":0.9},"extractionModel":"haiku","factCount":2,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 54ec706a-e16a-414e-98a8-bac262cc0cc9
memory_id: acdc4385-8929-4ed1-b8ef-d63840e09b04
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:07:31.968Z
reason:
  Candidate [3] (ID: 4788cc98-3e8d-4bd5-8400-8dfb81e10f65) is already identical: both express the preference for integrating Steam data with version numbers, release dates, update status, and player counts into the website. No new information or refinement is present.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The desired Steam endpoints should provide data including version numbers, release dates, update status, and player counts for website integration","type":"preference","confidence":0.85},"extractionModel":"haiku","factCount":2,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 0ae5777e-87a0-4d52-a986-96d2765ffdd3
memory_id: ac31984e-c6f6-42fb-9972-c76a236899ef
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:08:07.284Z
reason:
  Candidate [4] (ac31984e) already captures this exact fact: 'Nicholai identified a potential gap between the predictive-memory-scorer.md technical plan and the high-level vision document.' The new fact is redundant and fully covered by existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Nicholai identified a potential gap between the predictive-memory-scorer.md technical plan document and the high-level VISION.md documentation","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":2,"entityCount":2,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: aae49249-3a8d-4b6b-96f8-8b822a23255c
memory_id: ac31984e-c6f6-42fb-9972-c76a236899ef
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:08:07.284Z
reason:
  Existing candidate [ac31984e...] already captures this exact insight: Nicholai identified the gap and asked whether concepts from predictive-memory-scorer.md should be elevated to VISION.md. The new fact is a restatement of the same decision point already documented.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The gap analysis raises the question of whether new concepts introduced in the predictive-memory-scorer.md technical plan should be elevated and incorporated into VISION.md","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":2,"entityCount":2,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 1cce51d4-4385-4453-9e31-74a449f282bc
memory_id: 8f25350c-9823-4f99-ba42-a063298c53e6
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:09:18.225Z
reason:
  Candidate [3] already comprehensively captures this concept: 'a per-user model trained on interaction history that learns what makes memories relevant.' The new fact is a restatement of content already documented with additional context about local training and no shared weights.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"The predictive-memory-scorer.md document describes a per-user model trained on interaction history that learns memory relevance patterns","type":"semantic","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 643379a6-102b-47d8-8420-d05934ee7d42
memory_id: 8f25350c-9823-4f99-ba42-a063298c53e6
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:09:18.225Z
reason:
  Candidate [5] (ID: 8f25350c-9823-4f99-ba42-a063298c53e6) already captures all three learning objectives from the new fact: what makes memories relevant, what temporal patterns matter, and which memories helped. The new fact is a restatement of existing memory content with less detail.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The per-user memory model learns three things: what makes memories relevant to the user, which temporal patterns matter for memory retrieval, and which memories actually helped the user","type":"semantic","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 1b2a0d09-868d-4f00-84c3-a93fa74ace14
memory_id: 8f25350c-9823-4f99-ba42-a063298c53e6
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:09:18.225Z
reason:
  New fact is already explicitly captured in candidate 4 (ID: 8f25350c-9823-4f99-ba42-a063298c53e6), which states: 'this model trains locally with no cloud infrastructure or shared weights.' Candidate 5 also conveys the same core idea. No new information to add.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The per-user memory model trains locally without cloud infrastructure or shared weights across users","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 10429c7f-509d-4042-b4e1-e3a3e3ed8134
memory_id: 8f25350c-9823-4f99-ba42-a063298c53e6
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:09:18.225Z
reason:
  New fact is substantively identical to candidate [2], which already captures 'on-device and individual-weights design prioritizes user privacy, ownership, and personalization.' The new fact uses slightly different phrasing ('local-only training without shared weights' vs 'on-device and individual-weights') but expresses the same core rationale. Candidate [2] is sufficient.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"Local-only training without shared weights in the memory model prioritizes user privacy and enables personalized relevance learning without centralized infrastructure","type":"rationale","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: eecbd8d5-184f-4aa0-aab5-0087a721ac51
memory_id: 98befb99-061b-4f60-8296-041485e25eaf
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:10:24.531Z
reason:
  New fact is a high-level summary of the core concept already comprehensively captured in candidates 1 (Rust transformer per-user), 4 (memory ranking model with cross-attention), and 5 (per-user model trained on interaction history, locally). The specific proposal is well-documented across these existing memories.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Signet is proposed to learn what to remember about each user by training a personalized model based on their individual interaction patterns","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 2b49072f-6cdf-4d17-949e-b72dca07201c
memory_id: 98befb99-061b-4f60-8296-041485e25eaf
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:10:24.531Z
reason:
  Candidate [3] already captures this exact concept: 'The user-specific ML model in Signet improves in quality and sharpness the longer the system is used by that user.' Candidate [5] also covers it in VISION.md context. New fact is redundant with existing memories.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Signet's per-user personalization model becomes progressively sharper and more accurate the longer a user interacts with the system over time","type":"semantic","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 4778f3f9-2fe5-418f-b1da-44121b48aff1
memory_id: c65f5d0c-386c-4320-b4c3-bdc085c587d4
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-26T07:10:24.531Z
actor_type: pipeline
old_content:
  The on-device and individual-weights design for Signet's learning model prioritizes user privacy, ownership, and personalization over centralized training efficiency

new_content:
  Signet's personalization operates entirely locally without cloud storage or remote data transmission

reason:
  New fact provides concrete implementation details (no cloud storage, no remote transmission) that refine and support the existing rationale about on-device design and privacy. Merging creates a more complete memory covering both the 'why' (privacy/ownership benefits) and 'how' (entirely local operation).


id: 148d0915-5812-470d-b3a0-c2c1307eb5bd
memory_id: 98befb99-061b-4f60-8296-041485e25eaf
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:10:24.532Z
reason:
  New fact provides concrete implementation details (no cloud storage, no remote transmission) that refine and support the existing rationale about on-device design and privacy. Merging creates a more complete memory covering both the 'why' (privacy/ownership benefits) and 'how' (entirely local operation).

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"c65f5d0c-386c-4320-b4c3-bdc085c587d4","targetContent":"The on-device and individual-weights design for Signet's learning model prioritizes user privacy, ownership, and personalization over centralized training efficiency","confidence":0.88,"fact":{"content":"Signet's personalization operates entirely locally without cloud storage or remote data transmission","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":"c65f5d0c-386c-4320-b4c3-bdc085c587d4","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 70829e55-4d35-4ce9-aa7f-7849e23e3749
memory_id: 98befb99-061b-4f60-8296-041485e25eaf
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:10:24.532Z
reason:
  New fact is already well-captured by existing candidates, particularly #4 which explicitly describes per-user models with no shared weights and no cloud infrastructure. Candidates #2 and #5 also cover the privacy/ownership rationale and model uniqueness. No new information to add.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Signet uses model weights that are unique and local to each individual user rather than shared across the user base","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":5,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 58246b78-c55d-4ef8-91fe-ed7386eedb0a
memory_id: a20f7872-b13e-413f-90e8-19ee000d020b
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:11:35.657Z
reason:
  Candidate [3] already comprehensively captures this fact: 'The decentralization thesis is a core philosophy documented in VISION.md that guides Signetai development decisions.' The new fact adds no novel information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"A decentralization thesis is documented in VISION.md","type":"semantic","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 246d6301-5716-49b0-83f9-2070834f6403
memory_id: a20f7872-b13e-413f-90e8-19ee000d020b
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:11:35.657Z
reason:
  Candidate [3] already covers local pattern execution as a core capability ('Your patterns, running locally'). New fact confirms this feature exists but adds no materially new information to the existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"A feature enabling local execution of patterns was added to the project","type":"fact","confidence":0.85},"extractionModel":"haiku","factCount":5,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 14c51b88-9ac6-40c2-82e8-a082db4e791d
memory_id: a20f7872-b13e-413f-90e8-19ee000d020b
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:11:35.657Z
reason:
  Candidate 1 already covers this concept: it discusses patterns running locally with time-improving functionality in the context of decentralization. The new fact is a restatement of existing memory without additional information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.8,"fact":{"content":"The local pattern execution capability provides time-improving functionality","type":"fact","confidence":0.8},"extractionModel":"haiku","factCount":5,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 2c864619-4fa8-4956-8df0-9213084c38c4
memory_id: a20f7872-b13e-413f-90e8-19ee000d020b
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:11:35.657Z
reason:
  Candidate [3] already documents this exact concept: local pattern execution reinforcing the decentralization thesis in VISION.md. The new fact is redundant with existing memory coverage.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"The local pattern execution feature reinforces the decentralization thesis documented in VISION.md","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":5,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: abca3fad-1a6b-47af-8b34-426f57a59d8b
memory_id: a20f7872-b13e-413f-90e8-19ee000d020b
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:11:35.657Z
reason:
  Candidate [2] already captures that local pattern execution was accepted and applied to the project. The new fact is a clearer restatement of what's already documented in that memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"The local pattern execution feature was accepted and applied to the project","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 8563bca4-f012-4a04-a541-aadae4454893
memory_id: f6e76f41-f5e5-423d-8d0d-e4b2ce076198
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:12:45.372Z
reason:
  Memory ID 98832682-fb8b-4116-8c08-13929475aeac already comprehensively covers this rule: 'no 'as' assertions (fix types instead)' is explicitly listed in the procedural conventions alongside related type discipline rules. The new fact restates what's already documented.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"TypeScript code in this project must not use `as` type assertions, which violates project convention","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 74f6c545-4a86-448b-be69-208459e83e0e
memory_id: 8d1316d3-3a7d-4508-9a67-03f7d02180bd
event: created
changed_by: pipeline-v2
created_at: 2026-02-26T07:12:45.373Z
new_content:
  TypeScript code in this project must use `unknown` with narrowing instead of `any` types, as documented in CLAUDE.md

reason:
  New fact is project-specific to openmarketui (prediction-markets) TypeScript discipline. Candidate [4] addresses the same rule but for 'signetai project', suggesting different codebases. Candidate [5] describes a tool's responsibilities rather than the rule itself. The new fact should be stored as a dedicated memory for this project's TypeScript style enforcement.

metadata:
  {"proposedAction":"add","sourceMemoryId":"f6e76f41-f5e5-423d-8d0d-e4b2ce076198","decisionConfidence":0.85,"factConfidence":0.9,"extractionModel":"haiku"}


id: 7c98f499-8c8d-4491-acc1-d00596b6be27
memory_id: f6e76f41-f5e5-423d-8d0d-e4b2ce076198
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:12:45.373Z
reason:
  New fact is project-specific to openmarketui (prediction-markets) TypeScript discipline. Candidate [4] addresses the same rule but for 'signetai project', suggesting different codebases. Candidate [5] describes a tool's responsibilities rather than the rule itself. The new fact should be stored as a dedicated memory for this project's TypeScript style enforcement.

metadata:
  {"shadow":false,"proposedAction":"add","targetMemoryId":null,"targetContent":null,"confidence":0.85,"fact":{"content":"TypeScript code in this project must use `unknown` with narrowing instead of `any` types, as documented in CLAUDE.md","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":7,"createdMemoryId":"8d1316d3-3a7d-4508-9a67-03f7d02180bd","updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: c94374ee-fcb9-4658-9137-da4df82f1813
memory_id: 21f30c9e-6f89-445d-b333-0c36463eef54
event: updated
new_content: TypeScript code in this project must use explicit null checks instead of non-null assertions (`!`)
changed_by: pipeline-v2
metadata: {"changedFields":["content"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-26T07:12:45.373Z
actor_type: pipeline
old_content:
  The signetai project prohibits `!` non-null assertions; developers must use explicit null checks instead (per CLAUDE.md style & conventions)

reason:
  New fact matches existing decision but is more general (not signetai-specific). Merge into broader project convention: TypeScript across projects prohibits non-null assertions; explicit null checks required per CLAUDE.md style guidelines.


id: b462ab1f-c96a-42cc-ae0c-e8375b8f3407
memory_id: f6e76f41-f5e5-423d-8d0d-e4b2ce076198
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:12:45.373Z
reason:
  New fact matches existing decision but is more general (not signetai-specific). Merge into broader project convention: TypeScript across projects prohibits non-null assertions; explicit null checks required per CLAUDE.md style guidelines.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"21f30c9e-6f89-445d-b333-0c36463eef54","targetContent":"The signetai project prohibits `!` non-null assertions; developers must use explicit null checks instead (per CLAUDE.md style & conventions)","confidence":0.95,"fact":{"content":"TypeScript code in this project must use explicit null checks instead of non-null assertions (`!`)","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":"21f30c9e-6f89-445d-b333-0c36463eef54","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 65c613c4-1e67-4f00-927b-2abf24514030
memory_id: f6e76f41-f5e5-423d-8d0d-e4b2ce076198
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:12:45.373Z
reason:
  New fact is already comprehensively covered by existing candidate f6e76f41-f5e5-423d-8d0d-e4b2ce076198 (procedural fact about second agent detecting TypeScript discipline violations and duplication with specific scanning patterns for `as`, `any`, and `!` assertions). The new fact adds no additional detail or context.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"A code-scanning agent is tasked with detecting TypeScript discipline violations and code duplication in the project","type":"procedural","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":7,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 309f4849-06cb-4bed-afab-0418bbd00349
memory_id: a1f1fad4-cc38-4424-ae68-f5f1aaae487b
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:13:58.380Z
reason:
  Candidate [5] already covers this fact with additional context: 'legacy databases that accumulated memories without the extraction pipeline.' The new fact is a simplified restatement of information already captured.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"Legacy databases accumulated memories without being processed through the extraction pipeline","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 1c869ff3-2b4f-46ae-bf1a-f3e0a676645a
memory_id: a1f1fad4-cc38-4424-ae68-f5f1aaae487b
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:13:58.380Z
reason:
  Core information already captured in candidate [2] which documents that duplicates are prevented at write time via content_hash uniqueness constraints

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The extraction pipeline uses content_hash uniqueness constraints to detect duplicate memories at write time","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 0b37b5a5-70df-47b3-9273-da5f0fff0ac9
memory_id: a1f1fad4-cc38-4424-ae68-f5f1aaae487b
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:13:58.380Z
reason:
  Candidate 5 already explicitly states the pipeline 'currently only catch exact duplicates at write time via content_hash uniqueness constraints.' The new fact is a direct restatement of information already captured in that memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"The extraction pipeline's current duplicate detection mechanism only catches exact duplicates","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: cb3af63e-4b54-4d49-ab2c-6fd40bc63f34
memory_id: a1f1fad4-cc38-4424-ae68-f5f1aaae487b
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:13:58.380Z
reason:
  Candidate [5] already explicitly covers this fact: it states the feature addresses legacy databases that accumulated memories without the extraction pipeline. The new fact is a less specific restatement of the same decision already captured in that memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"A feature is being implemented to address the limitation of legacy databases that accumulated memories before the extraction pipeline was established","type":"decision","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 51f5ab95-b0d9-4cdb-abe6-e1d1a069bb89
memory_id: 686d637d-1999-4166-8ece-cca12d18d188
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:15:19.486Z
reason:
  Candidate [5] already captures this exact information: 'The plan spans 6 files' with additional context about the two-phase repair action (exact hash clustering + semantic clustering via KNN). New fact provides no additional details beyond what's already stored.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The repair action plan spans 6 files in the codebase","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":5,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 2037de71-4a12-4126-b8f0-efeb2f67b587
memory_id: 686d637d-1999-4166-8ece-cca12d18d188
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:15:19.486Z
reason:
  Candidate 5 (ID: 686d637d-1999-4166-8ece-cca12d18d188) already covers this exact fact: describes the two-phase repair action with Phase 1 (exact hash clustering via SQL GROUP BY) and Phase 2 (optional semantic clustering via KNN). New fact adds no novel information or corrections.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The repair action uses a two-phase approach: Phase 1 performs exact hash clustering using SQL GROUP BY (computationally cheap), followed by optional Phase 2 semantic clustering via KNN on embedded memories","type":"procedural","confidence":0.85},"extractionModel":"haiku","factCount":5,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 52794c5b-0d2c-420a-b924-009cfd951a0d
memory_id: 686d637d-1999-4166-8ece-cca12d18d188
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:15:19.486Z
reason:
  New fact is already comprehensively covered by existing candidate 4 (bff6bd87-3b3c-4e28-b686-14959395c208) which explicitly states 'uses SQL GROUP BY for phase 1', and candidate 5 (686d637d-1999-4166-8ece-cca12d18d188) which mentions 'exact hash clustering (cheap SQL GROUP BY)'. No new information to capture.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Exact hash clustering in Phase 1 uses SQL GROUP BY as the implementation mechanism","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":5,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: d9ce77e6-3457-4a5b-9611-7ae31ab45362
memory_id: 686d637d-1999-4166-8ece-cca12d18d188
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:15:19.486Z
reason:
  Candidates [4] and [5] already comprehensively capture this information: Phase 2 uses KNN for semantic clustering on embedded memories. New fact adds no novel information beyond existing procedural details.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"Phase 2 semantic clustering uses K-Nearest Neighbors (KNN) algorithm operating on embedded memories","type":"procedural","confidence":0.85},"extractionModel":"haiku","factCount":5,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 9f68b36b-0db1-448c-99ca-e1125608823b
memory_id: 686d637d-1999-4166-8ece-cca12d18d188
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:15:19.486Z
reason:
  New fact is already well-covered by existing candidates 2, 4, and 5. Candidate 2 explicitly states Phase 2 is optional, candidate 4 provides rationale for optionality (computational cost vs ML refinement), and candidate 5 describes the two-phase approach including optional KNN clustering. No new information is introduced.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Phase 2 semantic clustering via KNN is optional in the repair action, not required","type":"decision","confidence":0.85},"extractionModel":"haiku","factCount":5,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: fb580546-bad2-4d50-a0e2-a684be07e6e1
memory_id: c1d973c0-bcc5-41b8-9c50-ecfe58312ba1
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:16:33.830Z
reason:
  Existing candidate [5] already captures the identical 8-phase implementation structure with all the same phases in order. The new fact adds no new information and is fully subsumed by the existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The project implementation is structured as 8 sequential phases: (1) project scaffold, (2) Rust core with main/lib/tray components, (3) platform abstraction, (4) IPC commands, (5) TypeScript state/menu builders, (6) polling loop, (7) icons, and (8) build verification","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: f173c386-b153-42d5-9964-e303218e4b6a
memory_id: c1d973c0-bcc5-41b8-9c50-ecfe58312ba1
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:16:33.830Z
reason:
  Candidate 5 already captures this exact information: 'Autostart, notifications, and platform-specific launchd/Windows support are deferred to future phases.' The new fact is redundant with existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Autostart functionality is deferred to future phases beyond the initial 8-phase implementation plan","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 2e2591fd-5efd-4f3e-b988-814edc3026b1
memory_id: c1d973c0-bcc5-41b8-9c50-ecfe58312ba1
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:16:33.830Z
reason:
  Candidate [5] already captures this: 'Autostart, notifications, and platform-specific launchd/Windows support are deferred to future phases.' The new fact is redundant with existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Notifications functionality is deferred to future phases beyond the initial 8-phase implementation plan","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 6833bb9c-3db4-439b-aa65-ba4a2a0093ca
memory_id: c1d973c0-bcc5-41b8-9c50-ecfe58312ba1
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:16:33.830Z
reason:
  Candidate [5] already explicitly covers this fact: it lists 'platform-specific launchd/Windows support' as deferred to future phases beyond the initial 8-phase implementation plan. The new fact is redundant.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Platform-specific launchd support (macOS) is deferred to future phases beyond the initial 8-phase implementation plan","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 28cc7877-9206-43f8-8f3d-e57eb1767f88
memory_id: c1d973c0-bcc5-41b8-9c50-ecfe58312ba1
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:16:33.830Z
reason:
  Candidate [5] already explicitly states that 'platform-specific launchd/Windows support are deferred to future phases.' New fact is already covered.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Platform-specific Windows support is deferred to future phases beyond the initial 8-phase implementation plan","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":5,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 5c9dd8e8-964b-46c5-94bb-e3519705ca3f
memory_id: b68051b1-4a10-4c79-becc-60caa80f99cf
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:17:15.878Z
reason:
  This location is already explicitly documented in existing memories: candidate [4] states 'OpenClaw Adapter (`packages/adapters/openclaw/src/`)' and candidate [5] also references this exact path. Candidate [3] further confirms by mentioning specific files in the src/ directory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The OpenClaw adapter implementation is located at packages/adapters/openclaw/src/","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":2,"entityCount":2,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 29aa59bb-1e2d-4e25-aea4-43049e1bbb41
memory_id: 8bfa3d08-58ea-4449-b25e-07c1c3b2134e
event: created
new_content: OpenClaw has a plugin runtime mechanism through which Signet tools can be accessed
changed_by: pipeline-v2
created_at: 2026-02-26T07:17:15.879Z
reason:
  New architectural fact about OpenClaw's capabilities. Related to candidates [4] and [5] which document the investigation process, but this is a distinct, standalone fact about the capability itself rather than procedural/investigation notes. Should be stored separately for clarity.

metadata:
  {"proposedAction":"add","sourceMemoryId":"b68051b1-4a10-4c79-becc-60caa80f99cf","decisionConfidence":0.8,"factConfidence":0.8,"extractionModel":"haiku"}


id: a7186d68-db9f-4108-b7f4-947a85fb3a4e
memory_id: b68051b1-4a10-4c79-becc-60caa80f99cf
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:17:15.879Z
reason:
  New architectural fact about OpenClaw's capabilities. Related to candidates [4] and [5] which document the investigation process, but this is a distinct, standalone fact about the capability itself rather than procedural/investigation notes. Should be stored separately for clarity.

metadata:
  {"shadow":false,"proposedAction":"add","targetMemoryId":null,"targetContent":null,"confidence":0.8,"fact":{"content":"OpenClaw has a plugin runtime mechanism through which Signet tools can be accessed","type":"fact","confidence":0.8},"extractionModel":"haiku","factCount":2,"entityCount":2,"createdMemoryId":"8bfa3d08-58ea-4449-b25e-07c1c3b2134e","updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 6a121d25-c795-4df0-95d4-b820aa9cfd06
memory_id: fb1fa031-b548-4e1a-8420-3e9105c50d01
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:18:22.586Z
reason:
  Candidate [5] already captures this exact approach in detail: 'Deploy subagents to comprehensively review the oddcore-website codebase and extract all procedural knowledge, design patterns, component conventions, and best practices.' The new fact is a simplified restatement of the same decision. No duplication needed.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"The approach involves deploying subagents to comprehensively review the oddcore-website codebase","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 7d3f7d91-6557-41da-9f39-1deb495e3bff
memory_id: fb1fa031-b548-4e1a-8420-3e9105c50d01
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:18:22.586Z
reason:
  New fact is already comprehensively covered by candidate [4] (ID: 25fb4e37-02b4-4175-a8ad-ea05c84289b2). Both describe the same thing: extracting procedural knowledge, design patterns, component conventions, and best practices from the oddcore-website codebase review. Minor wording differences ('aims to extract' vs 'extract') do not warrant duplicate storage.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"The oddcore-website codebase review aims to extract procedural knowledge, design patterns, component conventions, and best practices","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: be1a05b7-3e2c-45c0-993d-23610bd5411f
memory_id: fb1fa031-b548-4e1a-8420-3e9105c50d01
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:18:22.586Z
reason:
  New fact is already comprehensively covered by existing candidates, particularly [5] which explicitly states the approach of extracting knowledge into skill documentation. Candidates [2] and [3] also capture the goal of creating skill documentation from oddcore-website. No new information to add.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"Extracted knowledge from oddcore-website will be organized into skill documentation for reuse","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: abaf7d4b-e815-4d21-8eb6-4b6c224223ca
memory_id: fb1fa031-b548-4e1a-8420-3e9105c50d01
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:18:22.586Z
reason:
  Candidate [fb1fa031] already explicitly covers this: 'This creates a reference guide for future website projects.' The new fact is a direct restatement of an existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The skill documentation from oddcore-website review will serve as a reference guide for implementing future website projects","type":"rationale","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: f9351864-de08-4624-97d9-f0911b0ba870
memory_id: 402ab503-7507-46ca-8b82-cf500db0e7f8
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:19:33.089Z
reason:
  Candidate 4 (ID: 402ab503) already explicitly captures this user request to add guidance to AGENTS.md, and candidate 3 (ID: bf5ce8e9) contains the core decision. New fact is redundant with existing memories.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"User requested adding guidance to AGENTS.md to enforce the use of shadcn-svelte components for all dashboard UI work","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 2d1de801-cde9-4eb0-93b5-f8b4397130eb
memory_id: bf5ce8e9-e943-443c-ba7b-a897bbf852c1
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-26T07:19:33.089Z
actor_type: pipeline
old_content:
  All Signet dashboard UI work must use components from shadcn-svelte (https://www.shadcn-svelte.com) rather than custom implementations

new_content:
  shadcn-svelte components are designated as the standard for all dashboard UI development according to AGENTS.md guidance

reason:
  New fact confirms and formalizes the existing decision by documenting that shadcn-svelte standardization is now established in AGENTS.md guidance. Should update the decision memory to reflect this formal status.


id: 32807381-207e-46ae-b7e8-47361fa2ec64
memory_id: 402ab503-7507-46ca-8b82-cf500db0e7f8
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:19:33.090Z
reason:
  New fact confirms and formalizes the existing decision by documenting that shadcn-svelte standardization is now established in AGENTS.md guidance. Should update the decision memory to reflect this formal status.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"bf5ce8e9-e943-443c-ba7b-a897bbf852c1","targetContent":"All Signet dashboard UI work must use components from shadcn-svelte (https://www.shadcn-svelte.com) rather than custom implementations","confidence":0.95,"fact":{"content":"shadcn-svelte components are designated as the standard for all dashboard UI development according to AGENTS.md guidance","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":"bf5ce8e9-e943-443c-ba7b-a897bbf852c1","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 79b759f3-dbf7-445b-ad0c-c796b7b048c0
memory_id: 402ab503-7507-46ca-8b82-cf500db0e7f8
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:19:33.090Z
reason:
  Candidate [1] already captures this exact procedural fact with greater specificity (includes the exact URL https://www.shadcn-svelte.com/llms.txt). The new fact is subsumed by the existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"shadcn-svelte documentation was retrieved from the LLMs reference during the session","type":"procedural","confidence":0.85},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 0bb3e35e-60cc-4aae-a8e0-d6ced3e68dad
memory_id: 402ab503-7507-46ca-8b82-cf500db0e7f8
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:19:33.090Z
reason:
  Candidate 4 already comprehensively covers this fact: it explicitly mentions 'reading the current AGENTS.md configuration file' as part of the session to incorporate dashboard UI component standards. The new fact is a subset of existing memory with no additional information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The current AGENTS.md configuration file was read during the session to incorporate new dashboard UI component standards","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":4,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: c2f257e0-cce3-4b70-93d5-c9e2e99aa2a8
memory_id: 1b94b976-dbd0-41d2-9375-cf24a2320cae
event: updated
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-26T07:20:35.824Z
actor_type: pipeline
old_content:
[cell repeats an earlier one in this file: 159 characters]

new_content:
  Guidance is being added to AGENTS.md to standardize component selection and prevent custom implementations when shadcn-svelte alternatives exist

reason:
  New fact updates candidate [5] from 'was to be added' (past/planned) to 'is being added' (present action). Both describe the same guidance for AGENTS.md component standardization, but new fact reflects current status. Merge by updating tense to confirm active implementation.


id: c4fa1b84-dcf9-4aea-a53b-f5a59baae37b
memory_id: 1b94b976-dbd0-41d2-9375-cf24a2320cae
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:20:35.825Z
reason:
  New fact updates candidate [5] from 'was to be added' (past/planned) to 'is being added' (present action). Both describe the same guidance for AGENTS.md component standardization, but new fact reflects current status. Merge by updating tense to confirm active implementation.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"1b94b976-dbd0-41d2-9375-cf24a2320cae","targetContent":"The guidance was to be added to the AGENTS.md file to standardize component selection and prevent custom implementations when shadcn-svelte alternatives exist.","confidence":0.95,"fact":{"content":"Guidance is being added to AGENTS.md to standardize component selection and prevent custom implementations when shadcn-svelte alternatives exist","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":"1b94b976-dbd0-41d2-9375-cf24a2320cae","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 4a3f60d2-2bb9-4bed-8e2b-70fce91f65d1
memory_id: 1b94b976-dbd0-41d2-9375-cf24a2320cae
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:20:35.825Z
reason:
  Candidate [3] (ID: 2cfa03ac-f1b0-4d17-9410-7ae1c0e29c62) already captures this exact procedural guidance: 'The component selection guidance specifies that shadcn-svelte alternatives should be preferred over custom implementations.' The new fact restates this same preference without adding new information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"The guidance in AGENTS.md establishes a preference for using shadcn-svelte components over building custom implementations during development","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 88bfbe71-c936-4dc1-8043-57c4d4df1b8c
memory_id: 1b94b976-dbd0-41d2-9375-cf24a2320cae
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:20:35.825Z
reason:
  Candidate [3] already captures this rationale: standardizing component selection to prevent custom implementations when shadcn-svelte alternatives exist. The new fact restates the same core rationale with slightly different wording but adds no substantial new information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The rationale for preferring shadcn-svelte alternatives is to prevent custom implementations and maintain consistency when pre-built component solutions already exist","type":"rationale","confidence":0.9},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: e0c45102-3bf9-48f6-bbf9-cd5175f9e98d
memory_id: 193c203b-02f9-49ed-8b43-fea529b49d8c
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:21:31.824Z
reason:
  Candidate [5] already contains this exact fact: 'Nicholai implemented a multi-layer guard mechanism to prevent infinite recursive extraction loops in the Signet daemon scheduler.' The new fact is identical in content, just with different word order.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.98,"fact":{"content":"Nicholai implemented a multi-layer guard mechanism in the Signet daemon scheduler to prevent infinite recursive extraction loops","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: b9fd6d7e-795f-4345-8398-ebac087ac535
memory_id: 193c203b-02f9-49ed-8b43-fea529b49d8c
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:21:31.824Z
reason:
  New fact is already comprehensively covered by candidate [5] ('multi-layer guard mechanism to prevent infinite recursive extraction loops in the Signet daemon scheduler') and candidate [4] provides implementation detail (sentinel-based hook guard). No new information is added.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The Signet daemon scheduler's extraction process is protected by a multi-layer guard mechanism that prevents infinite recursion","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 9fc5cb82-3693-4413-8abf-c9c8cac19d41
memory_id: 193c203b-02f9-49ed-8b43-fea529b49d8c
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:21:31.824Z
reason:
  The new fact restates a failure mode already well-documented by existing candidates: [4] describes the scheduler mechanism that creates infinite loops, [3] explains the sentinel guard that prevents them, and [5] documents the implementation. The new fact adds no novel information beyond what's implied by understanding these existing mechanisms and their guard layers.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"Infinite recursive extraction loops are a failure mode that can occur in the Signet daemon scheduler without guard mechanisms","type":"semantic","confidence":0.85},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 3088f2c7-3dc6-4f29-9da6-baaada73f46a
memory_id: b72b4eb6-5328-4377-a19b-2bd9d91605d2
event: created
changed_by: pipeline-v2
created_at: 2026-02-26T07:22:27.409Z
new_content:
  Nicholai requested a comprehensive audit of the OpenMarketUI codebase to ensure the project name is reflected consistently across all files and configurations

reason:
  New fact is OpenMarketUI-specific audit request for naming consistency. Existing candidates cover Signetai and oddcore-website projects or general CLAUDE.md audits, not this specific OpenMarketUI naming audit.

metadata:
  {"proposedAction":"add","sourceMemoryId":"f0240e10-8cf8-4937-bfba-3796f8610ecf","decisionConfidence":0.95,"factConfidence":0.95,"extractionModel":"haiku"}


id: 3f2db825-9db1-4b92-9a7e-d7e655fa5106
memory_id: f0240e10-8cf8-4937-bfba-3796f8610ecf
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:22:27.409Z
reason:
  New fact is OpenMarketUI-specific audit request for naming consistency. Existing candidates cover Signetai and oddcore-website projects or general CLAUDE.md audits, not this specific OpenMarketUI naming audit.

metadata:
  {"shadow":false,"proposedAction":"add","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Nicholai requested a comprehensive audit of the OpenMarketUI codebase to ensure the project name is reflected consistently across all files and configurations","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":4,"createdMemoryId":"b72b4eb6-5328-4377-a19b-2bd9d91605d2","updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 10842acf-7b7c-428e-9f25-dbf628caf542
memory_id: f0240e10-8cf8-4937-bfba-3796f8610ecf
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:22:27.409Z
reason:
  This fact is already captured in existing memory [ID: f0240e10-8cf8-4937-bfba-3796f8610ecf], which documents the same OpenMarketUI naming audit and Explore subagent deployment for identifying naming inconsistencies

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"An Explore-type subagent was deployed to systematically search for naming inconsistencies in the OpenMarketUI codebase","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: e672b3e7-b762-4202-9931-26a6b2f56e43
memory_id: 95a01a6a-f295-4d7e-bc55-d394d98529ed
event: created
changed_by: pipeline-v2
created_at: 2026-02-26T07:22:27.409Z
new_content:
  The Explore subagent is used for automating systematic searches across codebases for pattern matching and inconsistency detection

reason:
  New fact is a general procedural principle about Explore's core purpose (systematic codebase searching for patterns/inconsistencies). Candidate 5 is a specific instance (naming audit in OpenmarketUI). The general principle should be stored separately as a reusable procedural reference.

metadata:
  {"proposedAction":"add","sourceMemoryId":"f0240e10-8cf8-4937-bfba-3796f8610ecf","decisionConfidence":0.75,"factConfidence":0.85,"extractionModel":"haiku"}


id: eee5b722-7282-4718-abb2-c0750c18c8d9
memory_id: f0240e10-8cf8-4937-bfba-3796f8610ecf
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:22:27.409Z
reason:
  New fact is a general procedural principle about Explore's core purpose (systematic codebase searching for patterns/inconsistencies). Candidate 5 is a specific instance (naming audit in OpenmarketUI). The general principle should be stored separately as a reusable procedural reference.

metadata:
  {"shadow":false,"proposedAction":"add","targetMemoryId":null,"targetContent":null,"confidence":0.75,"fact":{"content":"The Explore subagent is used for automating systematic searches across codebases for pattern matching and inconsistency detection","type":"semantic","confidence":0.85},"extractionModel":"haiku","factCount":3,"entityCount":4,"createdMemoryId":"95a01a6a-f295-4d7e-bc55-d394d98529ed","updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: d36764bd-ae43-446f-91d0-ade1722411a0
memory_id: f335d723-5e40-43f3-b13e-b2dcfec496d5
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:24:13.242Z
reason:
  Candidate [f335d723] already captures that the audit examined 'All package.json files and their `name` fields' as part of the comprehensive naming audit. The new fact is a confirmation/restatement of information already present in that memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.85,"fact":{"content":"An audit examined all package.json files across the project, specifically verifying the 'name' field configuration","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":6,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 5d82a598-ab04-424e-b0c2-3d67b915ef24
memory_id: f335d723-5e40-43f3-b13e-b2dcfec496d5
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:24:13.242Z
reason:
  Candidate [4] (ID: f335d723...) already documents that the comprehensive naming audit examined 'All Cargo.toml files and package definitions' as part of its systematic coverage. The new fact is already captured in existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"An audit examined all Cargo.toml files and their package definitions","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":6,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 9c0125c1-96f7-43e7-8dac-85cea38af858
memory_id: f335d723-5e40-43f3-b13e-b2dcfec496d5
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:24:13.242Z
reason:
  Candidate [4] already explicitly lists 'README files and documentation titles' as part of the OpenmarketUI naming audit scope. The new fact is a subset of what's already documented in that candidate.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"An audit examined README files and documentation titles for consistency","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":6,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 7d591fbf-cf26-4bfd-a11c-67ea1eb8976a
memory_id: f335d723-5e40-43f3-b13e-b2dcfec496d5
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:24:13.242Z
reason:
  Candidate [4] already explicitly lists 'HTML/meta tags and configuration files' as part of the audit scope. The new fact is covered by the existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"An audit examined HTML/meta tags and configuration files","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":6,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: fda9c9bf-8715-46de-b073-4fb9e677c5a3
memory_id: f335d723-5e40-43f3-b13e-b2dcfec496d5
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:24:13.242Z
reason:
  Candidate [5] already explicitly documents the web/ directory audit including index.astro and Layout.astro as part of comprehensive coverage. New fact does not add information beyond what's already captured.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"An audit examined web/ directory components including index.astro and Layout.astro","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":6,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: ec8c7ffb-ae28-436e-aeb9-4e3de1b713dc
memory_id: f335d723-5e40-43f3-b13e-b2dcfec496d5
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:24:13.242Z
reason:
  The new fact is already comprehensively covered by existing candidates #4 and #5. Candidate #5 is particularly detailed, explicitly capturing that an exploration audit workflow was initiated covering specific scopes (package.json, Cargo.toml, README, HTML/meta tags, web/ components) and remained in progress at snapshot time. No new information is added by the incoming fact.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"An exploration audit workflow was initiated but remained incomplete at the time this snapshot was taken","type":"fact","confidence":0.85},"extractionModel":"haiku","factCount":6,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: c17ee034-003a-4d9e-858c-b84c2db82c99
memory_id: cfd7f31a-9c15-48f9-b8a1-80be6cd167f4
event: updated
new_content: The `/openmarketui-design` skill is used to refine the OpenMarketUI web/ site design
changed_by: pipeline-v2
metadata: {"changedFields":["content","type"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-26T07:25:10.849Z
actor_type: pipeline
old_content:
  ## OpenMarketUI Design Refinement Session began with user invoking the `/openmarketui-design` skill to refine the web/ site based on design annotations from a screenshot.

reason:
  New fact provides a clearer procedural statement about the `/openmarketui-design` skill's purpose. Existing candidate [2] is about a specific session instance invoking this skill. Merging creates a more complete memory: the skill's general purpose + how it's used in practice.


id: 8a453e97-9fa2-464c-802b-4ea273edf7bd
memory_id: cfd7f31a-9c15-48f9-b8a1-80be6cd167f4
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:25:10.849Z
reason:
  New fact provides a clearer procedural statement about the `/openmarketui-design` skill's purpose. Existing candidate [2] is about a specific session instance invoking this skill. Merging creates a more complete memory: the skill's general purpose + how it's used in practice.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"cfd7f31a-9c15-48f9-b8a1-80be6cd167f4","targetContent":"## OpenMarketUI Design Refinement Session began with user invoking the `/openmarketui-design` skill to refine the web/ site based on design annotations from a screenshot.","confidence":0.9,"fact":{"content":"The `/openmarketui-design` skill is used to refine the OpenMarketUI web/ site design","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":2,"entityCount":2,"createdMemoryId":null,"updatedMemoryId":"cfd7f31a-9c15-48f9-b8a1-80be6cd167f4","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 0ce03212-e72f-4290-ba1b-490f3cbfa872
memory_id: cfd7f31a-9c15-48f9-b8a1-80be6cd167f4
event: updated
old_content: The `/openmarketui-design` skill is used to refine the OpenMarketUI web/ site design
changed_by: pipeline-v2
metadata: {"changedFields":["content"],"ifVersion":null,"contentChanged":true}
created_at: 2026-02-26T07:25:10.850Z
actor_type: pipeline
new_content:
  The `/openmarketui-design` skill accepts design annotations extracted from screenshots as input for design refinement

reason:
  New fact clarifies the procedural capability of the /openmarketui-design skill (accepts design annotations from screenshots). Candidate [2] documents a session using this skill with the same capability. Merging provides explicit documentation of the skill's input/output format alongside the session context.


id: 225023f7-0009-4791-954f-85aced99bf8f
memory_id: cfd7f31a-9c15-48f9-b8a1-80be6cd167f4
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:25:10.850Z
reason:
  New fact clarifies the procedural capability of the /openmarketui-design skill (accepts design annotations from screenshots). Candidate [2] documents a session using this skill with the same capability. Merging provides explicit documentation of the skill's input/output format alongside the session context.

metadata:
  {"shadow":false,"proposedAction":"update","targetMemoryId":"cfd7f31a-9c15-48f9-b8a1-80be6cd167f4","targetContent":"## OpenMarketUI Design Refinement Session began with user invoking the `/openmarketui-design` skill to refine the web/ site based on design annotations from a screenshot.","confidence":0.88,"fact":{"content":"The `/openmarketui-design` skill accepts design annotations extracted from screenshots as input for design refinement","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":2,"entityCount":2,"createdMemoryId":null,"updatedMemoryId":"cfd7f31a-9c15-48f9-b8a1-80be6cd167f4","deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 279829c6-4446-4d3d-b300-c82a67c77fa5
memory_id: 7b933b4a-b0ae-4e4e-9f1d-13da5df6ccd2
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:26:01.310Z
reason:
  Candidate [4] already captures this exact fact verbatim: 'The user provided detailed visual design specifications as reference material for matching the site more closely to their intended design system.' New fact adds no novel information beyond what's already stored.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"User provided detailed visual design specifications as reference material to guide alignment of the site with their intended design system","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":3,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: fad9ab7f-57f2-4638-ac01-ee04948bd309
memory_id: 7b933b4a-b0ae-4e4e-9f1d-13da5df6ccd2
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:26:01.310Z
reason:
  Existing candidate [5] already captures this fact with additional context: 'The web directory contains an Astro-based static site deployed to Cloudflare Pages.' The new fact is a subset of information already in memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The web directory contains an Astro-based static site","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: f33dbb3e-4e17-4ae1-a3c8-88c6856e1fe9
memory_id: 7b933b4a-b0ae-4e4e-9f1d-13da5df6ccd2
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:26:01.310Z
reason:
  Candidate [5] already contains this exact fact: 'The web directory contains an Astro-based static site deployed to Cloudflare Pages.' New fact adds no additional information.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"The Astro-based static site in the web directory is deployed to Cloudflare Pages","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":4,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: aa15eda2-b771-4376-9602-2f947fc3f43f
memory_id: df9e52d3-1196-4ef0-a54a-c570ef76bd61
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:26:55.144Z
reason:
  Candidate 5 (ID: df9e52d3-1196-4ef0-a54a-c570ef76bd61) already captures this exact fact: 'User is working to align the visual presentation with OpenMarketUI's design system specifications.' The new fact is duplicate information already in persistent memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"User is actively working to align the visual presentation of OpenMarketUI with the project's design system specifications","type":"fact","confidence":0.9},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 6af72f19-f749-47ae-ac94-7b08387009ea
memory_id: df9e52d3-1196-4ef0-a54a-c570ef76bd61
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:26:55.144Z
reason:
  Candidate [5] already captures that 'Design specification review initiated' for OpenMarketUI visual alignment. New fact is redundant with existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.92,"fact":{"content":"A design specification review has been initiated for OpenMarketUI visual alignment work","type":"procedural","confidence":0.85},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 93a7d809-19c8-49f8-9509-3dc7db8ab7c8
memory_id: df9e52d3-1196-4ef0-a54a-c570ef76bd61
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:26:55.144Z
reason:
  Candidate [5] already captures the same fact: 'full refinement work not yet visible in conversation history due to truncation.' The new fact is a restatement of existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.9,"fact":{"content":"Full refinement work on OpenMarketUI visual alignment is not yet visible in the conversation history due to truncation of prior context","type":"fact","confidence":0.8},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: e1b1a797-a898-4fb2-bfea-e17312599bc0
memory_id: 9d939814-aed0-44ce-ac6a-a8cf84d75f14
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:27:51.004Z
reason:
  Candidate [5] already captures this exact event: session initialization at 07:08 UTC with Signet hook execution. The existing memory is more detailed and self-contained.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Session initialization occurred at 07:08 UTC with Signet hook execution","type":"procedural","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: e083c7ff-1fe3-4995-8710-c58f77a7a783
memory_id: 9d939814-aed0-44ce-ac6a-a8cf84d75f14
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:27:51.004Z
reason:
  Candidate [4] (ID: 9d939814-aed0-44ce-ac6a-a8cf84d75f14) already captures this exact event: session initialization at 07:08 UTC with Claude Code remote control bridge activated. The new fact adds no additional information or detail.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"Claude Code remote control bridge was activated during session initialization at 07:08 UTC","type":"procedural","confidence":0.9},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: bc61555b-253d-4c42-838a-3e964426ecbb
memory_id: 9d939814-aed0-44ce-ac6a-a8cf84d75f14
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:27:51.004Z
reason:
  This pattern (session initialization with no coding work) is already well-documented across existing candidates (e.g., IDs fde3ccf1, c5f6a49f, 9d939814). The new fact is generic and redundant with what's already captured. No new information would be added by storing it separately.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.85,"fact":{"content":"No coding work was performed during the session; only initialization occurred","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":3,"entityCount":3,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 1afd9b4d-751e-47ff-b0c8-0d5e36318fd1
memory_id: 5f725251-d4b8-423d-841e-05d6998b2fc6
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:30:04.889Z
reason:
  Existing candidate [4] (ID: 5f725251-d4b8-423d-841e-05d6998b2fc6) already comprehensively captures this fact: it explicitly states the initial characterization as a prediction market trading platform/engine AND the clarified positioning as a trading strategy IDE. New fact is fully covered by existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.98,"fact":{"content":"OpenMarketUI was initially characterized as a prediction market trading platform/engine","type":"fact","confidence":0.95},"extractionModel":"haiku","factCount":7,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: d7f9c34e-b9d7-4d43-b9c6-4479cf10fbc8
memory_id: 5f725251-d4b8-423d-841e-05d6998b2fc6
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:30:04.890Z
reason:
  Candidate [5] already captures this core insight comprehensively, including the IDE positioning, interface-first approach, and full strategy lifecycle management. New fact is redundant with existing memory.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"OpenMarketUI is fundamentally a trading strategy IDE (Integrated Development Environment)","type":"decision","confidence":0.95},"extractionModel":"haiku","factCount":7,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


id: 5c5d7618-f791-4066-bfd6-d58dad8ab6d3
memory_id: 5f725251-d4b8-423d-841e-05d6998b2fc6
event: none
changed_by: pipeline-v2
created_at: 2026-02-26T07:30:04.890Z
reason:
  Candidate [4] already captures this exact positioning: 'the web and watchtower UI layers are the actual product surface, not auxiliary dashboards. Users compose strategies and train models through the interface.' Also candidate [5] reinforces it: 'Rust backend...is enabler, not the primary deliverable.' The new fact is redundant with existing memories.

metadata:
  {"shadow":false,"proposedAction":"none","targetMemoryId":null,"targetContent":null,"confidence":0.95,"fact":{"content":"OpenMarketUI is positioned as an interface-first product, not a backend platform","type":"decision","confidence":0.9},"extractionModel":"haiku","factCount":7,"entityCount":6,"createdMemoryId":null,"updatedMemoryId":null,"deletedMemoryId":null,"dedupedExistingId":null,"blockedReason":null,"reviewNeeded":false,"contradictionRisk":false,"skippedReason":null}


