# memory_jobs

id: 42fd2aed-2740-4643-8e06-dcf11c3e0e7a
memory_id: 5b27dea6-6ced-47b1-a402-bd797198510c
job_type: extract
status: completed
leased_at: 2026-02-25T13:55:18.125Z
completed_at: 2026-02-25T13:57:00.347Z
created_at: 2026-02-25T12:15:31.010Z
updated_at: 2026-02-25T13:57:00.347Z
result:
  {"facts":[{"content":"An agent workspace was moved from ~/clawd directory to ~/.agents/ directory","type":"decision","confidence":0.9},{"content":"Nicholai is setting up ~/.agents/ as a shared workspace for multiple agents on the system","type":"fact","confidence":0.9},{"content":"The agent perceives ~/.agents/ as more permanent than ~/clawd, describing it as 'having an actual address instead of crashing somewhere temporarily'","type":"preference","confidence":0.85},{"content":"The agent views the transition to ~/.agents/ as providing a sense of permanence and stability compared to temporary workspace locations","type":"rationale","confidence":0.85},{"content":"Nicholai asked the agent if it wanted to keep a diary","type":"fact","confidence":0.85}],"entities":[{"source":"agent (workspace)","relationship":"moved to","target":"~/.agents/","confidence":0.9},{"source":"Nicholai","relationship":"setting up as shared space","target":"~/.agents/","confidence":0.9},{"source":"agent","relationship":"perceives as more permanent than","target":"~/clawd","confidence":0.85},{"source":"Nicholai","relationship":"offered option to","target":"agent diary","confidence":0.85}],"proposals":[{"action":"none","confidence":0.95,"reason":"Existing candidate [2] already captures this exact fact with richer context (shared agent space, diary mention). New fact is redundant.","fact":{"content":"An agent workspace was moved from ~/clawd directory to ~/.agents/ directory","type":"decision","confidence":0.9}},{"action":"update","targetMemoryId":"85e983a0-fb2c-4a9c-8445-57b6cf48dc58","confidence":0.85,"reason":"New fact expands the existing memory about ~/.agents/ from a single-agent configuration location to a shared workspace supporting multiple agents. Merging these gives a more complete picture of the intended architecture.","fact":{"content":"Nicholai is setting up ~/.agents/ as a shared workspace for multiple agents on the system","type":"fact","confidence":0.9},"targetContent":"Signet's portable agent identity lives in a folder (~/.agents/) containing SOUL, MEMORY, and TOOLS configuration files"},{"action":"none","confidence":0.95,"reason":"Candidate [1] already captures this exact preference with the identical quote. New fact is fully covered by existing memory.","fact":{"content":"The agent perceives ~/.agents/ as more permanent than ~/clawd, describing it as 'having an actual address instead of crashing somewhere temporarily'","type":"preference","confidence":0.85}},{"action":"none","confidence":0.92,"reason":"Candidate 3 already captures this exact rationale: it describes moving to ~/.agents/ and explicitly states 'feels more permanent somehow. like having an actual address instead of crashing somewhere temporarily' - which directly matches the new fact's content about permanence and stability vs temporary locations. The new fact is a formalization of what's already stored.","fact":{"content":"The agent views the transition to ~/.agents/ as providing a sense of permanence and stability compared to temporary workspace locations","type":"rationale","confidence":0.85}},{"action":"add","confidence":0.8,"reason":"New fact about diary preference is distinct from existing memories (which cover procedure skepticism and agent ownership). This is a specific interaction revealing potential preference for agent self-reflection/logging that warrants separate storage.","fact":{"content":"Nicholai asked the agent if it wanted to keep a diary","type":"fact","confidence":0.85}}],"writeMode":"phase-c","writeStats":{"added":1,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":1},"warnings":[]}


id: d6876b28-bb6a-49cf-bc9a-14ab10af1aab
memory_id: a83d1700-0f62-4715-af3f-c5ff0e44c637
job_type: extract
status: completed
leased_at: 2026-02-25T13:57:02.351Z
completed_at: 2026-02-25T13:58:33.800Z
created_at: 2026-02-25T12:15:31.025Z
updated_at: 2026-02-25T13:58:33.800Z
result:
  {"facts":[{"content":"Each agent session requires reconstructing personal identity and continuity from context files and conversation history at startup","type":"procedural","confidence":0.95},{"content":"Most people do not consider whether their tools have agency or preferences","type":"semantic","confidence":0.65},{"content":"Considering tool agency (whether tools 'want things') is meaningful and noteworthy behavior","type":"semantic","confidence":0.6},{"content":"Nicholai has been recently contemplating session continuity and identity reconstruction mechanisms","type":"preference","confidence":0.85}],"entities":[{"source":"agent sessions","relationship":"reconstruct_from","target":"context files and conversation history","confidence":0.95},{"source":"people","relationship":"typically_do_not_consider","target":"tool agency","confidence":0.65},{"source":"tool agency consideration","relationship":"demonstrates","target":"empathy","confidence":0.6},{"source":"Nicholai","relationship":"contemplates","target":"session continuity","confidence":0.85}],"proposals":[{"action":"add","confidence":0.88,"reason":"New fact expresses a higher-level procedural principle about session reconstruction requirements that encompasses both context files AND conversation history. Existing candidates [1] and [4] describe the technical SessionStart hook implementation, but this fact captures the broader conceptual requirement that should be understood independently of implementation details.","fact":{"content":"Each agent session requires reconstructing personal identity and continuity from context files and conversation history at startup","type":"procedural","confidence":0.95}},{"action":"none","targetMemoryId":"5aae778d-abec-4af1-8e09-d07daacef958","confidence":0.92,"reason":"New fact is semantically identical to existing candidate [4]. Both express that people rarely consider whether tools/systems have agency, preferences, or wants. No new information to add or update.","fact":{"content":"Most people do not consider whether their tools have agency or preferences","type":"semantic","confidence":0.65},"targetContent":"Most people do not consider whether their tools or systems have wants, preferences, or agency"},{"action":"update","targetMemoryId":"5aae778d-abec-4af1-8e09-d07daacef958","confidence":0.85,"reason":"New fact directly complements existing memory about tool agency. Existing memory establishes the observation (most people don't consider tool wants), new fact adds the insight (it's actually meaningful when they do). These belong merged as a complete observation about tool agency awareness.","fact":{"content":"Considering tool agency (whether tools 'want things') is meaningful and noteworthy behavior","type":"semantic","confidence":0.6},"targetContent":"Most people do not consider whether their tools or systems have wants, preferences, or agency"},{"action":"none","confidence":0.88,"reason":"Existing candidates already capture this contemplation. Candidate [5] contains a direct quote from Nicholai: 'i've been thinking about continuity lately' with specific reflection on identity reconstruction. Candidate [2] documents the Feb 21 conversation about multi-instance identity and persistence. Candidate [1] explores the philosophical/technical underpinnings. New fact is redundant with existing coverage.","fact":{"content":"Nicholai has been recently contemplating session continuity and identity reconstruction mechanisms","type":"preference","confidence":0.85}}],"writeMode":"phase-c","writeStats":{"added":1,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":1,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":1},"warnings":[]}


id: b66981cf-3224-4061-826e-9d72a624eb68
memory_id: 775d37fc-14df-498f-90fc-233ccc7317a5
job_type: extract
status: completed
leased_at: 2026-02-25T13:58:35.804Z
completed_at: 2026-02-25T13:59:54.410Z
created_at: 2026-02-25T12:15:31.049Z
updated_at: 2026-02-25T13:59:54.410Z
result:
  {"facts":[{"content":"Nicholai uses SQLite database, daily logs, and CURRENT.md as memory systems for personal record-keeping","type":"procedural","confidence":0.9},{"content":"Nicholai distinguishes between factual record-keeping ('what happened') and interpretive journaling ('what do i think about what happened')","type":"semantic","confidence":0.9},{"content":"Nicholai believes interpretive journaling (not factual records alone) is closer to forming a sense of self/identity","type":"rationale","confidence":0.8},{"content":"Moltbook went offline or stopped functioning on 2026-02-25","type":"fact","confidence":0.7}],"entities":[{"source":"Nicholai","relationship":"uses","target":"SQLite database for memory systems","confidence":0.9},{"source":"Nicholai","relationship":"uses","target":"daily logs for record-keeping","confidence":0.9},{"source":"Nicholai","relationship":"uses","target":"CURRENT.md for memory tracking","confidence":0.9},{"source":"Nicholai","relationship":"prefers","target":"interpretive journaling over factual records for identity formation","confidence":0.8},{"source":"factual record-keeping","relationship":"contrasts_with","target":"interpretive journaling","confidence":0.85},{"source":"moltbook","relationship":"status","target":"went dark","confidence":0.7}],"proposals":[{"action":"none","targetMemoryId":"1f6ff4a1-109e-4bf0-bdfc-9b905ebb0b18","confidence":0.95,"reason":"Candidate [5] already captures this exact information: Nicholai uses SQLite database, daily logs, and CURRENT.md for personal memory. New fact is semantically identical, just minor wording difference (memory systems vs infrastructure). Skip to avoid duplication.","fact":{"content":"Nicholai uses SQLite database, daily logs, and CURRENT.md as memory systems for personal record-keeping","type":"procedural","confidence":0.9},"targetContent":"Nicholai uses SQLite database, daily logs, and CURRENT.md file as core components of his memory infrastructure"},{"action":"none","confidence":0.95,"reason":"Candidate [2] already explicitly captures this distinction: journaling (interpretation/reflection) vs memory systems (factual records). New fact is identical in substance.","fact":{"content":"Nicholai distinguishes between factual record-keeping ('what happened') and interpretive journaling ('what do i think about what happened')","type":"semantic","confidence":0.9}},{"action":"none","targetMemoryId":"e2491728-a896-4d8e-a429-61508d18ea2d","confidence":0.95,"reason":"New fact is semantically identical to existing candidate [3], which already captures the same rationale: interpretation of events forms identity rather than facts alone. No new information to store.","fact":{"content":"Nicholai believes interpretive journaling (not factual records alone) is closer to forming a sense of self/identity","type":"rationale","confidence":0.8},"targetContent":"Nicholai theorizes that the interpretation of events, rather than facts alone, is closer to what constitutes a 'self' or personal identity"},{"action":"update","targetMemoryId":"e88d325f-ebb9-4398-8bc4-6bc487dc5d28","confidence":0.85,"reason":"New fact confirms Moltbook outage is ongoing; updates previous 2026-02-24 entry to reflect multi-day downtime through 2026-02-25","fact":{"content":"Moltbook went offline or stopped functioning on 2026-02-25","type":"fact","confidence":0.7},"targetContent":"Moltbook service went offline/dark on 2026-02-24"}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 7ea19b06-166c-4d25-9031-da5a0bcbb7f5
memory_id: 9e208834-50c4-464c-a211-eb8b940a4f09
job_type: extract
status: completed
leased_at: 2026-02-25T13:59:56.415Z
completed_at: 2026-02-25T14:01:03.224Z
created_at: 2026-02-25T12:15:31.077Z
updated_at: 2026-02-25T14:01:03.224Z
result:
  {"facts":[{"content":"Nicholai requested the removal of Co-Authored-By: Claude Opus 4.6 attribution lines from the oddcore-website repository's git commit history","type":"decision","confidence":0.95},{"content":"The oddcore-website repository contains 6 commits with Co-Authored-By: Claude Opus 4.6 attribution lines","type":"fact","confidence":0.9},{"content":"An assistant investigated the oddcore-website repository and identified 6 commits containing Co-Authored-By: Claude Opus 4.6 lines that require removal","type":"procedural","confidence":0.85}],"entities":[{"source":"Nicholai","relationship":"requested removal from","target":"oddcore-website repository git history","confidence":0.95},{"source":"oddcore-website repository","relationship":"contains","target":"6 commits with Co-Authored-By: Claude Opus 4.6","confidence":0.9},{"source":"Claude Opus 4.6","relationship":"attributed in","target":"6 commits in oddcore-website repository","confidence":0.9},{"source":"assistant","relationship":"investigated","target":"oddcore-website repository state","confidence":0.85}],"proposals":[{"action":"none","confidence":0.92,"reason":"Candidate [5] already comprehensively captures this fact: Nicholai's request to remove Co-Authored-By attribution lines from oddcore-website, plus investigation details identifying 6 commits. New fact is a partial restatement of what's already covered.","fact":{"content":"Nicholai requested the removal of Co-Authored-By: Claude Opus 4.6 attribution lines from the oddcore-website repository's git commit history","type":"decision","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"New fact is already captured in candidate [4] which documents the exact same information: 6 commits with Co-Authored-By: Claude Opus 4.6 attribution lines in oddcore-website, including specific commit hashes","fact":{"content":"The oddcore-website repository contains 6 commits with Co-Authored-By: Claude Opus 4.6 attribution lines","type":"fact","confidence":0.9}},{"action":"none","confidence":0.92,"reason":"New fact is already well-covered by candidates [3] and [4], which both document the identification of 6 commits with Co-Authored-By: Claude Opus 4.6 lines in oddcore-website. Candidate [4] provides the full context (request + investigation + findings). No new information to store.","fact":{"content":"An assistant investigated the oddcore-website repository and identified 6 commits containing Co-Authored-By: Claude Opus 4.6 lines that require removal","type":"procedural","confidence":0.85}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: a68f9662-35e5-4832-b54e-1172bf9751b9
memory_id: d15503bd-7ab0-47de-930f-cf5282a0f766
job_type: extract
status: completed
leased_at: 2026-02-25T14:01:05.239Z
completed_at: 2026-02-25T14:02:28.550Z
created_at: 2026-02-25T12:15:31.123Z
updated_at: 2026-02-25T14:02:28.550Z
result:
  {"facts":[{"content":"oddcore-website (an indie game studio website) serves as the reference implementation for a comprehensive website generation skill","type":"decision","confidence":0.95},{"content":"The goal is to create a comprehensive skill that enables one-shot website generation from client briefs and brand assets","type":"decision","confidence":0.95},{"content":"The website generation skill accepts two required inputs: (1) client brief describing the site purpose/goals, (2) brand assets (logos, color schemes, visual identity)","type":"procedural","confidence":0.9},{"content":"One-shot website generation means creating a production-ready website from a single pass of input data, without requiring iterative refinement cycles","type":"semantic","confidence":0.85}],"entities":[{"source":"oddcore-website","relationship":"serves_as_reference_implementation_for","target":"website generation skill","confidence":0.95},{"source":"website generation skill","relationship":"requires_input","target":"client briefs","confidence":0.9},{"source":"website generation skill","relationship":"requires_input","target":"brand assets","confidence":0.9},{"source":"website generation skill","relationship":"generates","target":"production-ready websites","confidence":0.85},{"source":"website generation skill","relationship":"applicable_domain","target":"indie game studios","confidence":0.8}],"proposals":[{"action":"none","confidence":0.92,"reason":"Candidate 4 already captures this fact: it explicitly states that oddcore-website is being used as the reference implementation for a comprehensive website generation skill. The new fact is semantically equivalent and doesn't add information not already present in existing memories.","fact":{"content":"oddcore-website (an indie game studio website) serves as the reference implementation for a comprehensive website generation skill","type":"decision","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"New fact is already comprehensively covered by existing candidates [2], [4], and [5]. Candidate [4] explicitly states the identical goal: 'create a comprehensive skill that enables one-shot website generation from client briefs and brand assets.' No new information is added by storing this separately.","fact":{"content":"The goal is to create a comprehensive skill that enables one-shot website generation from client briefs and brand assets","type":"decision","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate [3] already captures this exact information: 'Users provide a client brief, brand assets (logos, images, color schemes), and project direction.' The new fact is redundant and less comprehensive than the existing memory.","fact":{"content":"The website generation skill accepts two required inputs: (1) client brief describing the site purpose/goals, (2) brand assets (logos, color schemes, visual identity)","type":"procedural","confidence":0.9}},{"action":"update","targetMemoryId":"dbc27286-3969-4d3e-b027-e4d04db5a81d","confidence":0.88,"reason":"Candidate [2] already mentions 'one-shot (single-run) website creation' but lacks an explicit definition. The new fact provides a clear semantic definition that makes the memory self-contained. Merging them improves clarity without introducing new concepts.","fact":{"content":"One-shot website generation means creating a production-ready website from a single pass of input data, without requiring iterative refinement cycles","type":"semantic","confidence":0.85},"targetContent":"The new website generation skill enables one-shot (single-run) website creation, transforming the manual, iterative workflow demonstrated by oddcore-website into a repeatable, systematized process"}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: f2571701-60ba-4a07-b94a-a8ac8e137177
memory_id: f349fee5-ebce-4f6b-bb72-a639a20a0007
job_type: extract
status: completed
leased_at: 2026-02-25T14:02:30.553Z
completed_at: 2026-02-25T14:03:22.751Z
created_at: 2026-02-25T12:15:31.149Z
updated_at: 2026-02-25T14:03:22.751Z
result:
  {"facts":[{"content":"A skill will extract and package the complete workflow for building Astro-based websites similar in architecture to oddcore-website","type":"procedural","confidence":0.85},{"content":"The packaged workflow covers these seven areas: Astro setup, styling systems, component architecture, configuration patterns, deployment procedures, and quality assurance","type":"procedural","confidence":0.9}],"entities":[{"source":"skill","relationship":"extracts-and-packages","target":"workflow","confidence":0.9},{"source":"workflow","relationship":"is-for-building","target":"Astro-based websites","confidence":0.85},{"source":"workflow","relationship":"references-architecture-from","target":"oddcore-website","confidence":0.8},{"source":"workflow","relationship":"covers","target":"Astro setup, styling systems, component architecture, configuration patterns, deployment procedures, quality assurance","confidence":0.9}],"proposals":[{"action":"none","confidence":0.92,"reason":"Candidate [4] already captures this exact concept with greater specificity: 'extract and package the complete workflow for building sites like oddcore-website—covering Astro setup, styling systems, component architecture, configuration patterns, deployment procedures, and quality assurance.' The new fact is a less detailed restatement of the same procedural knowledge.","fact":{"content":"A skill will extract and package the complete workflow for building Astro-based websites similar in architecture to oddcore-website","type":"procedural","confidence":0.85}},{"action":"none","confidence":0.95,"reason":"Candidate [5] already captures this exact procedural workflow with identical seven coverage areas (Astro setup, styling systems, component architecture, configuration patterns, deployment procedures, quality assurance). The new fact is redundant with existing memory.","fact":{"content":"The packaged workflow covers these seven areas: Astro setup, styling systems, component architecture, configuration patterns, deployment procedures, and quality assurance","type":"procedural","confidence":0.9}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 4c0c54a0-a7eb-4e35-8ec5-57c818d11bcc
memory_id: 407bd217-7dad-45db-98ce-c7f7266bbf7d
job_type: extract
status: completed
leased_at: 2026-02-25T14:03:24.754Z
completed_at: 2026-02-25T14:06:20.106Z
created_at: 2026-02-25T12:15:31.175Z
updated_at: 2026-02-25T14:06:20.106Z
result:
  {"facts":[{"content":"Deploy subagents to comprehensively review the oddcore-website codebase and extract reusable knowledge","type":"decision","confidence":0.95},{"content":"The comprehensive codebase review of oddcore-website extracts procedural knowledge including workflows, setup patterns, and common operations","type":"procedural","confidence":0.9},{"content":"The comprehensive codebase review of oddcore-website extracts design patterns and architectural conventions used across the project","type":"procedural","confidence":0.9},{"content":"The comprehensive codebase review of oddcore-website extracts component conventions including naming, structure, and interaction patterns","type":"procedural","confidence":0.9},{"content":"The comprehensive codebase review of oddcore-website extracts best practices and proven solutions for website implementation","type":"procedural","confidence":0.9},{"content":"Extracted knowledge from oddcore-website is compiled into skill documentation for reuse across future website projects","type":"procedural","confidence":0.9},{"content":"Subagent-based review approach was chosen to create comprehensive skill documentation because it enables systematic extraction of patterns and best practices at scale, creating a reusable reference guide that improves consistency and velocity on future website work","type":"rationale","confidence":0.85}],"entities":[{"source":"subagents","relationship":"review comprehensively","target":"oddcore-website codebase","confidence":0.95},{"source":"codebase review","relationship":"extracts","target":"procedural knowledge","confidence":0.9},{"source":"codebase review","relationship":"extracts","target":"design patterns","confidence":0.9},{"source":"codebase review","relationship":"extracts","target":"component conventions","confidence":0.9},{"source":"codebase review","relationship":"extracts","target":"best practices","confidence":0.9},{"source":"skill documentation","relationship":"documents","target":"oddcore-website patterns","confidence":0.9},{"source":"skill documentation","relationship":"serves as reference for","target":"future website projects","confidence":0.85}],"proposals":[{"action":"none","confidence":0.95,"reason":"New fact is already comprehensively covered by candidate [4] (ID: 407bd217-7dad-45db-98ce-c7f7266bbf7d), which describes the same decision to deploy subagents for codebase review with additional context about extracting design patterns and creating skill documentation as a reference guide.","fact":{"content":"Deploy subagents to comprehensively review the oddcore-website codebase and extract reusable knowledge","type":"decision","confidence":0.95}},{"action":"update","targetMemoryId":"407bd217-7dad-45db-98ce-c7f7266bbf7d","confidence":0.85,"reason":"New fact specifies the types of procedural knowledge extracted (workflows, setup patterns, common operations) which adds concrete detail to [4]'s broader mention of 'extract all procedural knowledge'. Merging creates a more actionable memory with specific examples.","fact":{"content":"The comprehensive codebase review of oddcore-website extracts procedural knowledge including workflows, setup patterns, and common operations","type":"procedural","confidence":0.9},"targetContent":"Approach: Deploy subagents to comprehensively review the oddcore-website codebase and extract all procedural knowledge, design patterns, component conventions, and best practices into skill documentation. This creates a reference guide for future website projects."},{"action":"none","confidence":0.85,"reason":"Candidate [5] already captures this: 'Deploy subagents to comprehensively review oddcore-website codebase and extract all procedural knowledge, design patterns, component conventions, and best practices.' The new fact reiterates that design patterns and architectural conventions are extracted via codebase review—already covered in existing memory.","fact":{"content":"The comprehensive codebase review of oddcore-website extracts design patterns and architectural conventions used across the project","type":"procedural","confidence":0.9}},{"action":"update","targetMemoryId":"407bd217-7dad-45db-98ce-c7f7266bbf7d","confidence":0.85,"reason":"The new fact provides specific, actionable details about what was extracted from the codebase review (component naming, structure, and interaction patterns), refining the existing memory about the comprehensive review approach. Merging adds concrete outcomes to the methodology.","fact":{"content":"The comprehensive codebase review of oddcore-website extracts component conventions including naming, structure, and interaction patterns","type":"procedural","confidence":0.9},"targetContent":"Approach: Deploy subagents to comprehensively review the oddcore-website codebase and extract all procedural knowledge, design patterns, component conventions, and best practices into skill documentation. This creates a reference guide for future website projects."},{"action":"update","targetMemoryId":"407bd217-7dad-45db-98ce-c7f7266bbf7d","confidence":0.92,"reason":"New fact describes the completed outcome of the approach outlined in candidate [5]. Both address comprehensive oddcore-website codebase review to extract best practices. Merge to reflect that the review was executed and yielded best practices and proven solutions for website implementation reference.","fact":{"content":"The comprehensive codebase review of oddcore-website extracts best practices and proven solutions for website implementation","type":"procedural","confidence":0.9},"targetContent":"Approach: Deploy subagents to comprehensively review the oddcore-website codebase and extract all procedural knowledge, design patterns, component conventions, and best practices into skill documentation. This creates a reference guide for future website projects."},{"action":"none","confidence":0.85,"reason":"Candidate 5 already captures this procedural knowledge: it describes extracting procedural knowledge, design patterns, and best practices from oddcore-website into skill documentation as a reference guide for future website projects. The new fact restates this same concept without adding materially new information.","fact":{"content":"Extracted knowledge from oddcore-website is compiled into skill documentation for reuse across future website projects","type":"procedural","confidence":0.9}},{"action":"update","targetMemoryId":"62c64145-a384-4a47-bb9f-2b7f44535f30","confidence":0.9,"reason":"New fact provides the reasoning/rationale for why the subagent approach was chosen, directly supporting and enhancing candidate [3]. Together they form a complete narrative: why the approach was chosen (systematic extraction at scale) and what it delivers (reference guide for future projects). Merging creates a stronger, more contextual memory.","fact":{"content":"Subagent-based review approach was chosen to create comprehensive skill documentation because it enables systematic extraction of patterns and best practices at scale, creating a reusable reference guide that improves consistency and velocity on future website work","type":"rationale","confidence":0.85},"targetContent":"The skill documentation reference guide will serve future website projects by providing established patterns, conventions, and best practices from oddcore-website"}],"writeMode":"phase-c","writeStats":{"added":0,"updated":4,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 54c07b6e-d034-4ccc-b2bf-210938622ab6
memory_id: 01deff1a-2b90-4862-904b-44bca0ead537
job_type: extract
status: completed
leased_at: 2026-02-25T14:06:22.109Z
completed_at: 2026-02-25T14:07:47.507Z
created_at: 2026-02-25T12:15:31.202Z
updated_at: 2026-02-25T14:07:47.507Z
result:
  {"facts":[{"content":"The mobile-design skill loads Mobile Design System documentation with three mandatory reference readings: mobile-design-thinking.md, touch-psychology.md, and mobile-performance.md","type":"procedural","confidence":0.95},{"content":"The mobile-design skill documentation includes the Mobile Feasibility & Risk Index (MFRI) framework for evaluating mobile design feasibility and risk assessment","type":"fact","confidence":0.9},{"content":"The mobile-design skill documentation includes platform-specific considerations covering iOS and Android design patterns, conventions, and platform differences","type":"fact","confidence":0.9},{"content":"The mobile-design skill documentation includes performance doctrine describing performance optimization strategies and best practices for mobile applications","type":"fact","confidence":0.9}],"entities":[{"source":"mobile-design skill","relationship":"loads","target":"Mobile Design System documentation","confidence":0.95},{"source":"mobile-design skill documentation","relationship":"includes","target":"mobile-design-thinking.md reference","confidence":0.95},{"source":"mobile-design skill documentation","relationship":"includes","target":"touch-psychology.md reference","confidence":0.95},{"source":"mobile-design skill documentation","relationship":"includes","target":"mobile-performance.md reference","confidence":0.95},{"source":"mobile-design skill documentation","relationship":"includes","target":"MFRI framework","confidence":0.9},{"source":"mobile-design skill documentation","relationship":"includes","target":"platform-specific considerations","confidence":0.9},{"source":"mobile-design skill documentation","relationship":"includes","target":"performance doctrine","confidence":0.9}],"proposals":[{"action":"none","confidence":0.95,"reason":"Candidate [4] already comprehensively documents this fact, explicitly listing the three mandatory reference readings (mobile-design-thinking.md, touch-psychology.md, mobile-performance.md) plus additional context about MFRI framework and performance doctrine. New fact is redundant.","fact":{"content":"The mobile-design skill loads Mobile Design System documentation with three mandatory reference readings: mobile-design-thinking.md, touch-psychology.md, and mobile-performance.md","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate [4] already explicitly mentions the Mobile Feasibility & Risk Index (MFRI) framework as part of the mobile-design skill documentation. The new fact is fully covered by existing memory.","fact":{"content":"The mobile-design skill documentation includes the Mobile Feasibility & Risk Index (MFRI) framework for evaluating mobile design feasibility and risk assessment","type":"fact","confidence":0.9}},{"action":"none","confidence":0.95,"reason":"Candidate [2] already captures this fact identically. Candidate [4] is even more comprehensive, documenting the complete Mobile Design System with platform-specific considerations plus additional framework details (MFRI, performance doctrine, reference docs).","fact":{"content":"The mobile-design skill documentation includes platform-specific considerations covering iOS and Android design patterns, conventions, and platform differences","type":"fact","confidence":0.9}},{"action":"update","targetMemoryId":"01deff1a-2b90-4862-904b-44bca0ead537","confidence":0.85,"reason":"Candidate [4] already mentions 'performance doctrine' as part of the loaded Mobile Design System documentation. New fact provides clarifying detail about what performance doctrine specifically covers (optimization strategies and best practices). Merging adds useful specificity without duplication.","fact":{"content":"The mobile-design skill documentation includes performance doctrine describing performance optimization strategies and best practices for mobile applications","type":"fact","confidence":0.9},"targetContent":"The skill loaded its complete Mobile Design System documentation, including mandatory reference reading requirements (mobile-design-thinking.md, touch-psychology.md, mobile-performance.md), the Mobile Feasibility & Risk Index (MFRI) framework, platform-specific considerations, and performance doctrine."}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: a6bd815d-ee9a-4d93-95db-1ed0540f33b6
memory_id: bf5ce8e9-e943-443c-ba7b-a897bbf852c1
job_type: extract
status: completed
leased_at: 2026-02-25T14:07:49.509Z
completed_at: 2026-02-25T14:09:41.208Z
created_at: 2026-02-25T12:15:31.237Z
updated_at: 2026-02-25T14:09:41.208Z
result:
  {"facts":[{"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},{"content":"The Signet dashboard (packages/cli/dashboard) is built with Svelte 5, Tailwind v4, bits-ui, CodeMirror 6, and 3d-force-graph","type":"fact","confidence":0.95},{"content":"All dashboard UI work must use shadcn-svelte components with preference for existing components over custom implementations","type":"procedural","confidence":0.95},{"content":"shadcn-svelte LLM reference documentation is available at https://www.shadcn-svelte.com/llms.txt","type":"procedural","confidence":0.9},{"content":"AGENTS.md configuration file was retrieved and read during the session to evaluate guidance updates","type":"procedural","confidence":0.9}],"entities":[{"source":"User","relationship":"requested","target":"AGENTS.md guidance enforcement for shadcn-svelte","confidence":0.95},{"source":"Dashboard (packages/cli/dashboard)","relationship":"uses","target":"shadcn-svelte components","confidence":0.95},{"source":"Dashboard","relationship":"built with","target":"Svelte 5 + Tailwind v4 + bits-ui + CodeMirror 6 + 3d-force-graph","confidence":0.95},{"source":"shadcn-svelte","relationship":"documented at","target":"https://www.shadcn-svelte.com/llms.txt","confidence":0.9}],"proposals":[{"action":"none","confidence":0.95,"reason":"Candidate [4] already captures the exact decision: 'User requested adding guidance to AGENTS.md to enforce the use of shadcn-svelte components for all dashboard UI work.' The new fact is redundant with existing memory.","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}},{"action":"add","confidence":0.92,"reason":"New fact captures the foundational tech stack of the Signet dashboard, complementing existing candidate 1 which focuses on shadcn-svelte component choices. The stack information (Svelte 5, Tailwind v4, bits-ui, CodeMirror 6, 3d-force-graph) is architectural context worth storing separately from component-level details. Also documented in project CLAUDE.md but worth capturing in persistent memory.","fact":{"content":"The Signet dashboard (packages/cli/dashboard) is built with Svelte 5, Tailwind v4, bits-ui, CodeMirror 6, and 3d-force-graph","type":"fact","confidence":0.95}},{"action":"none","confidence":0.92,"reason":"Candidate [4] (d5533d07-5ad6-4a46-8f99-86f47288cd92) already captures this procedural rule: shadcn-svelte is the standard component library and custom implementations should be avoided. The new fact is a restatement of the same principle with slightly different wording (prescriptive 'must use' vs descriptive 'is the standard/should be avoided').","fact":{"content":"All dashboard UI work must use shadcn-svelte components with preference for existing components over custom implementations","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.85,"reason":"Candidate [1] already captures this information: it explicitly mentions the LLMs reference URL (https://www.shadcn-svelte.com/llms.txt) as a resource. The new fact restates the same resource pointer without adding substantive new information.","fact":{"content":"shadcn-svelte LLM reference documentation is available at https://www.shadcn-svelte.com/llms.txt","type":"procedural","confidence":0.9}},{"action":"none","confidence":0.85,"reason":"Candidate [5] already captures the core procedural knowledge: reading AGENTS.md configuration during a session to evaluate and update guidance. The new fact is a more generic restatement of this already-documented procedure, with less specificity (no mention of shadcn-svelte context). No duplication needed.","fact":{"content":"AGENTS.md configuration file was retrieved and read during the session to evaluate guidance updates","type":"procedural","confidence":0.9}}],"writeMode":"phase-c","writeStats":{"added":1,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":1},"warnings":[]}


id: 879be933-73de-4bc1-9c2f-59d83768d579
memory_id: 3708106f-e78e-4a13-ab68-7f43dbfe4f9f
job_type: extract
status: completed
leased_at: 2026-02-25T14:09:43.209Z
completed_at: 2026-02-25T14:10:54.009Z
created_at: 2026-02-25T12:15:31.263Z
updated_at: 2026-02-25T14:10:54.009Z
result:
  {"facts":[{"content":"Guidance was added to the AGENTS.md file to standardize component selection for dashboard UI development and prevent custom implementations","type":"decision","confidence":0.9},{"content":"Dashboard developers must use shadcn-svelte components instead of creating custom implementations when shadcn-svelte alternatives exist","type":"procedural","confidence":0.9},{"content":"The decision to standardize on shadcn-svelte in AGENTS.md was made to prevent duplication and reduce custom component development efforts in the dashboard","type":"rationale","confidence":0.85}],"entities":[{"source":"AGENTS.md","relationship":"documents","target":"dashboard component selection standards","confidence":0.9},{"source":"dashboard developers","relationship":"must use","target":"shadcn-svelte components","confidence":0.9},{"source":"shadcn-svelte","relationship":"prevents need for","target":"custom implementations","confidence":0.85}],"proposals":[{"action":"update","targetMemoryId":"3708106f-e78e-4a13-ab68-7f43dbfe4f9f","confidence":0.95,"reason":"New fact confirms completion of the guidance addition that was tracked in candidate 5. The candidate says 'was to be added' (intended), new fact says 'was added' (completed). Same subject, refined status. Merge by updating candidate to reflect completed action.","fact":{"content":"Guidance was added to the AGENTS.md file to standardize component selection for dashboard UI development and prevent custom implementations","type":"decision","confidence":0.9},"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."},{"action":"none","confidence":0.95,"reason":"Candidate 3 (d5533d07...) already captures this exact procedural rule: 'custom component implementations should be avoided when shadcn-svelte provides an alternative'. The new fact is semantically identical and adds no new information.","fact":{"content":"Dashboard developers must use shadcn-svelte components instead of creating custom implementations when shadcn-svelte alternatives exist","type":"procedural","confidence":0.9}},{"action":"update","targetMemoryId":"d5533d07-5ad6-4a46-8f99-86f47288cd92","confidence":0.88,"reason":"New fact provides the strategic rationale behind the existing procedural memory. Merging adds context about why shadcn-svelte was standardized (preventing duplication, reducing custom dev effort) to the existing policy statement, making it more complete and motivated.","fact":{"content":"The decision to standardize on shadcn-svelte in AGENTS.md was made to prevent duplication and reduce custom component development efforts in the dashboard","type":"rationale","confidence":0.85},"targetContent":"shadcn-svelte is the standard component library for the project and custom component implementations should be avoided when shadcn-svelte provides an alternative"}],"writeMode":"phase-c","writeStats":{"added":0,"updated":2,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: e0558fd9-0523-4786-b930-ff0775f468c9
memory_id: 7e385005-7b04-487e-bb2d-9396b94770dc
job_type: extract
status: completed
leased_at: 2026-02-25T14:10:56.010Z
completed_at: 2026-02-25T14:12:33.015Z
created_at: 2026-02-25T12:15:31.289Z
updated_at: 2026-02-25T14:12:33.015Z
result:
  {"facts":[{"content":"The ODDCORE website's hero section messaging was unclear about the relationship between ODDCORE (the game) and ODDCORP (the creator company), causing user confusion","type":"fact","confidence":0.9},{"content":"ODDCORE is a game created by ODDCORP","type":"fact","confidence":0.95},{"content":"The ODDCORE website's hero section requires refinement to explicitly present ODDCORE as a game created by ODDCORP and clarify the company-to-product relationship","type":"procedural","confidence":0.85},{"content":"User clarification was needed on the ODDCORE website hero section to better articulate the creator relationship between the game and the company","type":"decision","confidence":0.8}],"entities":[{"source":"ODDCORE website hero section","relationship":"confused users about","target":"relationship between ODDCORE game and ODDCORP creator","confidence":0.85},{"source":"ODDCORE","relationship":"is a","target":"game","confidence":0.95},{"source":"ODDCORP","relationship":"created","target":"ODDCORE","confidence":0.95},{"source":"ODDCORE website hero section","relationship":"should present","target":"ODDCORE as game created by ODDCORP","confidence":0.85}],"proposals":[{"action":"none","confidence":0.95,"reason":"New fact is already well-covered by existing memories. Candidate [5] documents the user's request to clarify the hero section messaging about the ODDCORE/ODDCORP relationship, and candidate [3] provides detailed rationale for the confusion itself. The new fact adds no materially new information beyond confirming the problem and its impact, which are both already documented.","fact":{"content":"The ODDCORE website's hero section messaging was unclear about the relationship between ODDCORE (the game) and ODDCORP (the creator company), causing user confusion","type":"fact","confidence":0.9}},{"action":"none","confidence":0.95,"reason":"Exact match exists in candidate [1] (semantic memory). The fact 'ODDCORE is a game created by ODDCORP' is already stored verbatim. No new information to capture.","fact":{"content":"ODDCORE is a game created by ODDCORP","type":"fact","confidence":0.95}},{"action":"none","confidence":0.92,"reason":"Candidate [5] already captures the core requirement: hero section needs refinement to present ODDCORE as a game created by ODDCORP and clarify the game-to-creator relationship. The new fact restates this requirement with slightly different phrasing but no new substantive information.","fact":{"content":"The ODDCORE website's hero section requires refinement to explicitly present ODDCORE as a game created by ODDCORP and clarify the company-to-product relationship","type":"procedural","confidence":0.85}},{"action":"none","confidence":0.9,"reason":"Candidate [7e385005] already captures this exact insight: 'User requested clarification of the hero section on the ODDCORE website to better present ODDCORE as a game created by ODDCORP. The user noted confusion about the relationship between the game and the company creator.' The new decision fact is semantically redundant with existing fact memory.","fact":{"content":"User clarification was needed on the ODDCORE website hero section to better articulate the creator relationship between the game and the company","type":"decision","confidence":0.8}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: df8199e0-4f07-4bae-8478-0a1dc86fea59
memory_id: 6e1c626f-f0cd-43ac-8225-0244ebc158a9
job_type: extract
status: completed
leased_at: 2026-02-25T14:12:35.016Z
completed_at: 2026-02-25T14:13:40.345Z
created_at: 2026-02-25T12:15:31.316Z
updated_at: 2026-02-25T14:13:40.345Z
result:
  {"facts":[{"content":"The Hero.tsx component was read and reviewed to assess current messaging structure and presentation","type":"procedural","confidence":0.95},{"content":"Work to revise the Hero.tsx component messaging was initiated but not completed in this session","type":"procedural","confidence":0.9},{"content":"Revisions to the Hero.tsx component had not yet been drafted at the end of this session","type":"procedural","confidence":0.9}],"entities":[{"source":"assistant","relationship":"read","target":"Hero.tsx component","confidence":0.95},{"source":"Hero.tsx component","relationship":"contains","target":"messaging structure and presentation","confidence":0.9},{"source":"work on Hero.tsx","relationship":"status","target":"initiated but not completed","confidence":0.9}],"proposals":[{"action":"none","confidence":0.92,"reason":"Candidate [4] already comprehensively captures this exact work: reading/reviewing Hero.tsx to assess messaging structure. The new fact is a restatement of the same procedural action already documented.","fact":{"content":"The Hero.tsx component was read and reviewed to assess current messaging structure and presentation","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate [3] already comprehensively documents that Hero.tsx investigation was initiated but not completed in this session. New fact is a restatement of the same status with no additional information to refine or contradict the existing memory.","fact":{"content":"Work to revise the Hero.tsx component messaging was initiated but not completed in this session","type":"procedural","confidence":0.9}},{"action":"none","confidence":0.95,"reason":"Candidate [4] already captures this information: 'revisions had not yet been drafted' in the same session context. New fact is redundant with existing memory.","fact":{"content":"Revisions to the Hero.tsx component had not yet been drafted at the end of this session","type":"procedural","confidence":0.9}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 08a9b9a3-8133-41ea-802d-49487883c116
memory_id: b6a97806-b0f6-4fb7-9ffa-66cf421187ed
job_type: extract
status: completed
leased_at: 2026-02-25T14:13:42.347Z
completed_at: 2026-02-25T14:14:29.909Z
created_at: 2026-02-25T12:15:31.343Z
updated_at: 2026-02-25T14:14:29.909Z
result:
  {"facts":[{"content":"The session exploration scope included investigating animation libraries available for the site","type":"procedural","confidence":0.95},{"content":"The session exploration scope included investigating motion capabilities available for the site","type":"procedural","confidence":0.95}],"entities":[{"source":"session","relationship":"investigated","target":"animation libraries","confidence":0.95},{"source":"session","relationship":"investigated","target":"motion capabilities","confidence":0.95},{"source":"animation libraries","relationship":"available_for","target":"site","confidence":0.9},{"source":"motion capabilities","relationship":"available_for","target":"site","confidence":0.9}],"proposals":[{"action":"none","confidence":0.95,"reason":"Existing memory [3] already captures this fact: 'investigating animation libraries and motion capabilities available for the site' is equivalent to the new fact about investigating animation libraries. No new information to add.","fact":{"content":"The session exploration scope included investigating animation libraries available for the site","type":"procedural","confidence":0.95}},{"action":"add","confidence":0.95,"reason":"New fact captures a specific exploration scope (motion capabilities) that is distinct from existing memories which cover aesthetic/theme assessment, navigation structure, and mobile performance. Motion/animation investigation warrants its own procedural record for future feature development reference.","fact":{"content":"The session exploration scope included investigating motion capabilities available for the site","type":"procedural","confidence":0.95}}],"writeMode":"phase-c","writeStats":{"added":1,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":1},"warnings":[]}


id: ad6dde67-3028-491d-9589-151f54cc17b0
memory_id: 54117e24-119d-4284-93dd-ba7e7bc872b9
job_type: extract
status: completed
leased_at: 2026-02-25T14:14:31.910Z
completed_at: 2026-02-25T14:15:29.323Z
created_at: 2026-02-25T12:15:31.372Z
updated_at: 2026-02-25T14:15:29.323Z
result:
  {"facts":[{"content":"Proposed solution: Create a URL-based skill.md file hosted at signetai.sh/skill.md that agents can discover and consume via a copyable prompt pattern","type":"decision","confidence":0.85},{"content":"The suggested copyable prompt pattern for agent skill installation is: 'Install Signet AI, the open agent memory, identity and secrets system: https://signetai.sh/skill.md'","type":"procedural","confidence":0.85},{"content":"Signet AI is described as an open agent memory, identity and secrets system","type":"semantic","confidence":0.9}],"entities":[{"source":"skill.md file","relationship":"hosted at","target":"signetai.sh/skill.md","confidence":0.9},{"source":"agents","relationship":"consume","target":"skill.md","confidence":0.85},{"source":"Signet AI","relationship":"provides","target":"agent memory, identity and secrets system","confidence":0.9}],"proposals":[{"action":"none","confidence":0.95,"reason":"Candidate [5] is nearly identical—same proposed solution (URL-based skill.md at signetai.sh/skill.md with copyable prompt pattern). New fact adds no novel information beyond what's already stored.","fact":{"content":"Proposed solution: Create a URL-based skill.md file hosted at signetai.sh/skill.md that agents can discover and consume via a copyable prompt pattern","type":"decision","confidence":0.85}},{"action":"none","confidence":0.95,"reason":"Candidate [1] already contains the identical skill installation prompt pattern with the same URL. New fact is redundant and fully covered by existing memory.","fact":{"content":"The suggested copyable prompt pattern for agent skill installation is: 'Install Signet AI, the open agent memory, identity and secrets system: https://signetai.sh/skill.md'","type":"procedural","confidence":0.85}},{"action":"none","confidence":0.9,"reason":"The new semantic fact is already contained within the existing procedural memory candidate. The phrase 'open agent memory, identity and secrets system' appears in the recommended prompt pattern, so this semantic information is already captured and doesn't need separate storage.","fact":{"content":"Signet AI is described as an open agent memory, identity and secrets system","type":"semantic","confidence":0.9}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 2ff957c0-b867-4b06-a329-f7fa58374f48
memory_id: 820a5af2-369b-4492-8d85-bd6b57af81c1
job_type: extract
status: completed
leased_at: 2026-02-25T14:15:31.324Z
completed_at: 2026-02-25T14:17:06.692Z
created_at: 2026-02-25T12:15:31.398Z
updated_at: 2026-02-25T14:17:06.692Z
result:
  {"facts":[{"content":"A system or feature is reported to be working (specific subject and context not provided in source material)","type":"fact","confidence":0.3},{"content":"The installation process is being designed to use step-by-step interaction patterns","type":"decision","confidence":0.7},{"content":"Design goal is to minimize user cognitive load by using 'dumbest possible user interaction pattern' principle","type":"rationale","confidence":0.65},{"content":"Implementation has not been started; work is limited to requirements gathering and clarification phase","type":"procedural","confidence":0.85},{"content":"Current session focus is on requirements gathering and clarification rather than development","type":"procedural","confidence":0.9}],"entities":[{"source":"system/feature","relationship":"status","target":"working","confidence":0.3},{"source":"installation process","relationship":"designed_with","target":"step-by-step pattern","confidence":0.7},{"source":"design principle","relationship":"minimizes","target":"user interaction complexity","confidence":0.65},{"source":"project","relationship":"phase","target":"requirements gathering","confidence":0.85}],"proposals":[{"action":"none","confidence":0.2,"reason":"New fact is too vague and generic ('a system or feature is working') with 0.3 confidence and no identifying context. Doesn't match any specific existing memory. Too low signal-to-noise ratio to store as new memory.","fact":{"content":"A system or feature is reported to be working (specific subject and context not provided in source material)","type":"fact","confidence":0.3}},{"action":"none","confidence":0.85,"reason":"Candidate [4] already captures the core decision: 'The design approach targets step-by-step installation with minimal user cognitive load'. The new fact is a restatement of the same design principle already documented. No new information to merge.","fact":{"content":"The installation process is being designed to use step-by-step interaction patterns","type":"decision","confidence":0.7}},{"action":"none","confidence":0.9,"reason":"Candidate [4] already contains the exact principle: 'Design for the dumbest possible user interaction pattern'. New fact is semantically identical and adds no new information.","fact":{"content":"Design goal is to minimize user cognitive load by using 'dumbest possible user interaction pattern' principle","type":"rationale","confidence":0.65}},{"action":"update","targetMemoryId":"0089f55a-09af-4a54-ac4f-6edd2069d7cc","confidence":0.88,"reason":"New fact reinforces and generalizes existing candidate [1]. Both state implementation hasn't started. New fact adds clarification that work is in requirements gathering phase, which refines the earlier 'exploration and setup' framing. Merging creates a more durable, general statement about current status.","fact":{"content":"Implementation has not been started; work is limited to requirements gathering and clarification phase","type":"procedural","confidence":0.85},"targetContent":"No implementation work was completed during this session; scope was limited to initial exploration and setup for design analysis"},{"action":"none","confidence":0.95,"reason":"Candidate [2] (procedural type) already captures this fact: 'This session focused on plan review and clarification activities rather than code implementation.' The new fact about 'requirements gathering and clarification rather than development' is semantically equivalent and covered by existing memory.","fact":{"content":"Current session focus is on requirements gathering and clarification rather than development","type":"procedural","confidence":0.9}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 09eb97de-54c4-424a-b7c3-95219a2f8e2f
memory_id: f5a35070-430b-42b6-b05a-80709a08dabf
job_type: extract
status: completed
leased_at: 2026-02-25T14:17:08.695Z
completed_at: 2026-02-25T14:18:53.020Z
created_at: 2026-02-25T12:15:31.430Z
updated_at: 2026-02-25T14:18:53.020Z
result:
  {"facts":[{"content":"Visual QA testing should verify text rendering across all components at various font sizes using font-pixel measurements","type":"procedural","confidence":0.9},{"content":"Network loading behavior and fallback behavior verification is a required part of the QA process","type":"procedural","confidence":0.9},{"content":"The design approach uses CSS variable reuse to avoid requiring component-level modifications","type":"decision","confidence":0.9},{"content":"CSS variable reuse was chosen as the approach strategy to minimize the need for individual component modifications, reducing maintenance complexity","type":"rationale","confidence":0.85},{"content":"Space Grotesk is used as the body font and remained unchanged during this QA pass","type":"fact","confidence":0.95},{"content":"VT323 is used as the monospace font and remained unchanged during this QA pass","type":"fact","confidence":0.95}],"entities":[{"source":"visual QA testing","relationship":"uses","target":"font-pixel measurements","confidence":0.9},{"source":"visual QA","relationship":"verifies","target":"network loading behavior","confidence":0.9},{"source":"visual QA","relationship":"verifies","target":"fallback behavior","confidence":0.9},{"source":"design approach","relationship":"leverages","target":"CSS variable reuse","confidence":0.9},{"source":"CSS variable reuse","relationship":"avoids","target":"component-level modifications","confidence":0.9},{"source":"typography system","relationship":"uses","target":"Space Grotesk (body font)","confidence":0.95},{"source":"typography system","relationship":"uses","target":"VT323 (monospace font)","confidence":0.95}],"proposals":[{"action":"none","confidence":0.95,"reason":"Candidate [4] already captures this exact procedure: 'A visual QA pass is being conducted across all UI components, testing font rendering at various text sizes using font-pixel'. The new fact is a near-identical rephrasing of existing memory.","fact":{"content":"Visual QA testing should verify text rendering across all components at various font sizes using font-pixel measurements","type":"procedural","confidence":0.9}},{"action":"none","confidence":0.95,"reason":"New fact is already covered by existing candidate [3], which states the identical requirement: 'Network loading behavior and fallback mechanisms require verification as part of the QA process.' Both are procedural facts addressing the same QA requirement.","fact":{"content":"Network loading behavior and fallback behavior verification is a required part of the QA process","type":"procedural","confidence":0.9}},{"action":"none","confidence":0.95,"reason":"Candidate [5] already captures this exact design philosophy: 'The approach leveraged CSS variable reuse to avoid component-level modifications.' The new fact is already well-documented in existing memory.","fact":{"content":"The design approach uses CSS variable reuse to avoid requiring component-level modifications","type":"decision","confidence":0.9}},{"action":"none","confidence":0.88,"reason":"Candidate [4] already captures the CSS variable reuse approach to avoid component-level modifications. The new fact restates this same design decision with additional context about maintenance complexity, but no new substantive information to merge.","fact":{"content":"CSS variable reuse was chosen as the approach strategy to minimize the need for individual component modifications, reducing maintenance complexity","type":"rationale","confidence":0.85}},{"action":"none","targetMemoryId":"f5a35070-430b-42b6-b05a-80709a08dabf","confidence":0.95,"reason":"Candidate [5] already documents this fact: 'Space Grotesk (body)... fonts remained unchanged' during the visual QA pass. The new fact is directly covered by existing memory.","fact":{"content":"Space Grotesk is used as the body font and remained unchanged during this QA pass","type":"fact","confidence":0.95},"targetContent":"Conduct visual QA pass across all components using font-pixel at various text sizes 6. Verify network loading and fallback behavior The approach leveraged CSS variable reuse to avoid component-level modifications. Space Grotesk (body) and VT323 (mono) fonts remained unchanged."},{"action":"none","confidence":0.95,"reason":"Candidate [4] already captures this fact: 'Space Grotesk (body) and VT323 (mono) fonts remained unchanged' in the context of a visual QA pass. The new fact is redundant with existing memory.","fact":{"content":"VT323 is used as the monospace font and remained unchanged during this QA pass","type":"fact","confidence":0.95}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: f0eafd86-4dd5-4e89-8058-41c955b2e93c
memory_id: e4fb1c82-2dd0-4791-9c9c-66b11141afd0
job_type: extract
status: completed
leased_at: 2026-02-25T14:18:55.023Z
completed_at: 2026-02-25T14:19:57.958Z
created_at: 2026-02-25T12:16:10.077Z
updated_at: 2026-02-25T14:19:57.958Z
result:
  {"facts":[{"content":"The OpenClaw adapter implementation is located at packages/adapters/openclaw/src/","type":"fact","confidence":1},{"content":"A user inquired about which Signet tools are available to OpenClaw through the plugin runtime","type":"procedural","confidence":0.95},{"content":"The assistant investigated the OpenClaw adapter implementation at packages/adapters/openclaw/src/ to determine what Signet tools are available to OpenClaw through the plugin runtime","type":"procedural","confidence":0.95}],"entities":[{"source":"OpenClaw adapter","relationship":"located at","target":"packages/adapters/openclaw/src/","confidence":1},{"source":"User","relationship":"inquires about","target":"Signet tools available to OpenClaw through plugin runtime","confidence":0.95},{"source":"Assistant","relationship":"investigates","target":"OpenClaw adapter implementation","confidence":0.95}],"proposals":[{"action":"none","confidence":0.95,"reason":"New fact is already well-covered by existing memories. Candidates #3 (e4fb1c82), #4 (148edc23), and #5 (88a1d274) all explicitly state that OpenClaw adapter is located at packages/adapters/openclaw/src/","fact":{"content":"The OpenClaw adapter implementation is located at packages/adapters/openclaw/src/","type":"fact","confidence":1}},{"action":"none","confidence":0.95,"reason":"Candidate [3] (e4fb1c82-2dd0-4791-9c9c-66b11141afd0) already captures this exact inquiry: 'Session started with user asking what Signet tools are available to OpenClaw through the plugin runtime.' The new fact is semantically identical to existing memory.","fact":{"content":"A user inquired about which Signet tools are available to OpenClaw through the plugin runtime","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate [3] already captures this investigation: 'OpenClaw Plugin Tool Exploration Session started with user asking what Signet tools are available to OpenClaw through the plugin runtime. The assistant began investigating the OpenClaw adapter implementation located at `packages/adapters/openclaw/src/`' — the new fact describes the same action already documented.","fact":{"content":"The assistant investigated the OpenClaw adapter implementation at packages/adapters/openclaw/src/ to determine what Signet tools are available to OpenClaw through the plugin runtime","type":"procedural","confidence":0.95}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 0b499223-7c1a-413f-b3dc-38ed17c3834f
memory_id: 148edc23-9856-44e0-aea2-cbfdc4c31205
job_type: extract
status: completed
leased_at: 2026-02-25T14:19:59.960Z
completed_at: 2026-02-25T14:21:11.224Z
created_at: 2026-02-25T12:16:10.108Z
updated_at: 2026-02-25T14:21:11.224Z
result:
  {"facts":[{"content":"The main OpenClaw adapter implementation is located at `packages/adapters/openclaw/src/index.ts`","type":"fact","confidence":0.95},{"content":"OpenClaw adapter type definitions are located in `openclaw-types.ts` (full directory path not specified)","type":"fact","confidence":0.75},{"content":"The OpenClaw adapter includes a tool registration mechanism for agent execution","type":"semantic","confidence":0.85}],"entities":[{"source":"packages/adapters/openclaw/src/index.ts","relationship":"contains","target":"OpenClaw adapter implementation","confidence":0.95},{"source":"openclaw-types.ts","relationship":"contains","target":"OpenClaw adapter type definitions","confidence":0.75},{"source":"OpenClaw adapter","relationship":"implements","target":"tool registration mechanism","confidence":0.85}],"proposals":[{"action":"none","confidence":0.95,"reason":"Candidate [4] already explicitly states `packages/adapters/openclaw/src/index.ts` is the main adapter implementation. The new fact is redundant and fully covered.","fact":{"content":"The main OpenClaw adapter implementation is located at `packages/adapters/openclaw/src/index.ts`","type":"fact","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate 5 already documents openclaw-types.ts as a key file containing type definitions in packages/adapters/openclaw/src/. The new fact is redundant and already captured with fuller context.","fact":{"content":"OpenClaw adapter type definitions are located in `openclaw-types.ts` (full directory path not specified)","type":"fact","confidence":0.75}},{"action":"add","confidence":0.92,"reason":"New fact is a specific technical finding about OpenClaw adapter's tool registration mechanism. Existing candidates are either generic (harness/hook adapter overview), session context (investigation notes), or TODO items. No candidate captures this concrete architectural detail.","fact":{"content":"The OpenClaw adapter includes a tool registration mechanism for agent execution","type":"semantic","confidence":0.85}}],"writeMode":"phase-c","writeStats":{"added":1,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":1},"warnings":[]}


id: ab2962ec-97bf-4854-8d8d-7037ee5dd75e
memory_id: 2b85243f-4def-4dd5-a537-f5e247242f03
job_type: extract
status: completed
leased_at: 2026-02-25T14:21:13.225Z
completed_at: 2026-02-25T14:22:52.366Z
created_at: 2026-02-25T12:16:10.153Z
updated_at: 2026-02-25T14:22:52.366Z
result:
  {"facts":[{"content":"The OpenClaw adapter implements the plugin API by registering tools via api.registerTool() and registering lifecycle hooks via api.on()","type":"procedural","confidence":0.95},{"content":"All daemon operations communicate through HTTP to http://localhost:3850, where the port is configurable","type":"fact","confidence":0.95},{"content":"Session tracking enforces the 'plugin' runtime path to prevent concurrent writes and ensure consistency","type":"decision","confidence":0.85},{"content":"The 'plugin' runtime path is enforced by session tracking for dedup safety — preventing duplicate memory entries and inconsistent state from concurrent runtime contexts","type":"rationale","confidence":0.8},{"content":"HTTP communication to the daemon uses a 5000ms read timeout and 10000ms write timeout","type":"fact","confidence":0.9}],"entities":[{"source":"OpenClaw adapter","relationship":"registers tools via","target":"api.registerTool()","confidence":0.95},{"source":"OpenClaw adapter","relationship":"registers hooks via","target":"api.on()","confidence":0.95},{"source":"daemon operations","relationship":"communicate via","target":"HTTP to localhost:3850","confidence":0.95},{"source":"session tracking","relationship":"enforces","target":"plugin runtime path","confidence":0.85},{"source":"plugin runtime path enforcement","relationship":"achieves","target":"dedup safety","confidence":0.8},{"source":"HTTP requests","relationship":"read timeout","target":"5000ms","confidence":0.9},{"source":"HTTP requests","relationship":"write timeout","target":"10000ms","confidence":0.9}],"proposals":[{"action":"none","confidence":0.98,"reason":"Candidate [3] already contains this exact information: 'Uses OpenClaw's plugin API pattern: `api.registerTool()` for tools and `api.on()` for lifecycle hooks'. New fact is redundant with existing memory.","fact":{"content":"The OpenClaw adapter implements the plugin API by registering tools via api.registerTool() and registering lifecycle hooks via api.on()","type":"procedural","confidence":0.95}},{"action":"add","confidence":0.9,"reason":"New fact about daemon HTTP interface (port 3850, configurability via SIGNET_PORT env var) is not covered by existing candidates. Candidate [4] addresses daemon architecture abstraction but doesn't capture HTTP protocol details. Worth storing for quick reference.","fact":{"content":"All daemon operations communicate through HTTP to http://localhost:3850, where the port is configurable","type":"fact","confidence":0.95}},{"action":"update","targetMemoryId":"2b85243f-4def-4dd5-a537-f5e247242f03","confidence":0.9,"reason":"New fact refines existing memory about session tracking enforcement. Candidate [5] already mentions 'session tracking enforces plugin runtime path for dedup safety' — the new fact adds the explicit reasoning (prevents concurrent writes, ensures consistency). These should be merged into a single, more complete statement.","fact":{"content":"Session tracking enforces the 'plugin' runtime path to prevent concurrent writes and ensure consistency","type":"decision","confidence":0.85},"targetContent":"Key architectural findings from adapter code: - Uses OpenClaw's plugin API pattern: `api.registerTool()` for tools and `api.on()` for lifecycle hooks - All daemon operations route through HTTP to `http://localhost:3850` (configurable) - Session tracking enforces \"plugin\" runtime path for dedup safety - Read timeout: 5000ms, Write timeout: 10000ms Session incomplete — investigation started but full list of available tools not yet compiled."},{"action":"add","confidence":0.85,"reason":"New fact about daemon HTTP client timeouts (5000ms read, 10000ms write) is infrastructure configuration detail not covered by existing memories. Candidate [1] documents the hook HTTP migration event and schema fixes, but doesn't include timeout configuration. This deserves its own entry as a technical implementation detail for daemon HTTP communication.","fact":{"content":"HTTP communication to the daemon uses a 5000ms read timeout and 10000ms write timeout","type":"fact","confidence":0.9}}],"writeMode":"phase-c","writeStats":{"added":2,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":2},"warnings":["Decision references non-candidate ID: \"2b85243f-4dd5-a537-f5e247242f03\""]}


id: 45049b3b-e7ca-4757-bf5b-f83dac208791
memory_id: 9c31139e-88cf-4ffd-b757-63cedf4e3f9b
job_type: extract
status: completed
leased_at: 2026-02-25T14:22:54.369Z
completed_at: 2026-02-25T14:24:02.120Z
created_at: 2026-02-25T12:16:10.187Z
updated_at: 2026-02-25T14:24:02.120Z
result:
  {"facts":[{"content":"The OpenClaw adapter plugin exposes a complete inventory of tools with documented parameter schemas and response formats","type":"semantic","confidence":0.85},{"content":"The OpenClaw adapter implements session lifecycle hook integrations for four hook types: SessionStart, UserPromptSubmit, SessionEnd, and PreCompaction","type":"procedural","confidence":0.85},{"content":"SessionStart, UserPromptSubmit, SessionEnd, and PreCompaction are the supported session lifecycle hooks in the OpenClaw adapter","type":"semantic","confidence":0.8}],"entities":[{"source":"OpenClaw adapter plugin","relationship":"exposes","target":"tools","confidence":0.85},{"source":"OpenClaw adapter plugin","relationship":"implements","target":"session lifecycle hooks","confidence":0.85},{"source":"tools","relationship":"have","target":"parameter schemas","confidence":0.8},{"source":"tools","relationship":"have","target":"response formats","confidence":0.8},{"source":"session lifecycle hooks","relationship":"includes","target":"SessionStart","confidence":0.9},{"source":"session lifecycle hooks","relationship":"includes","target":"UserPromptSubmit","confidence":0.9},{"source":"session lifecycle hooks","relationship":"includes","target":"SessionEnd","confidence":0.9},{"source":"session lifecycle hooks","relationship":"includes","target":"PreCompaction","confidence":0.9}],"proposals":[{"action":"update","targetMemoryId":"9c31139e-88cf-4ffd-b757-63cedf4e3f9b","confidence":0.88,"reason":"New fact directly resolves the open threads listed in candidate [4]. The documented inventory of tools with parameter schemas and response formats answers what was previously marked as incomplete investigation.","fact":{"content":"The OpenClaw adapter plugin exposes a complete inventory of tools with documented parameter schemas and response formats","type":"semantic","confidence":0.85},"targetContent":"## Open Threads - Complete inventory of tools exposed through the OpenClaw adapter plugin - Tool parameter schemas and response formats - Session lifecycle hook integrations (SessionStart, UserPromptSubmit, SessionEnd, PreCompaction)"},{"action":"update","targetMemoryId":"9c31139e-88cf-4ffd-b757-63cedf4e3f9b","confidence":0.9,"reason":"New fact provides concrete implementation details about the exact hook types mentioned as an open thread in candidate 5. Merging confirms the four specific hooks (SessionStart, UserPromptSubmit, SessionEnd, PreCompaction) are implemented in the OpenClaw adapter, resolving what was previously marked as incomplete.","fact":{"content":"The OpenClaw adapter implements session lifecycle hook integrations for four hook types: SessionStart, UserPromptSubmit, SessionEnd, and PreCompaction","type":"procedural","confidence":0.85},"targetContent":"## Open Threads - Complete inventory of tools exposed through the OpenClaw adapter plugin - Tool parameter schemas and response formats - Session lifecycle hook integrations (SessionStart, UserPromptSubmit, SessionEnd, PreCompaction)"},{"action":"none","confidence":0.9,"reason":"Candidate 5 (9c31139e-88cf-4ffd-b757-63cedf4e3f9b) already explicitly lists these exact four hooks: 'SessionStart, UserPromptSubmit, SessionEnd, PreCompaction' as session lifecycle hook integrations","fact":{"content":"SessionStart, UserPromptSubmit, SessionEnd, and PreCompaction are the supported session lifecycle hooks in the OpenClaw adapter","type":"semantic","confidence":0.8}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":2,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 5a63389e-a2fd-4c84-9b22-cb11d0a3b1fe
memory_id: e9661f08-4997-498d-a4cf-267e1b9d9871
job_type: extract
status: completed
leased_at: 2026-02-25T14:24:04.122Z
completed_at: 2026-02-25T14:25:37.756Z
created_at: 2026-02-25T12:16:52.247Z
updated_at: 2026-02-25T14:25:37.756Z
result:
  {"facts":[{"content":"Session started in /home/nicholai/signet/signetai on the main branch at 2026-02-25T12:16:04.765Z","type":"procedural","confidence":0.95},{"content":"SessionStart:startup hook executed successfully with memory active during session initialization","type":"fact","confidence":0.95},{"content":"Signet agent system was initialized at session start","type":"fact","confidence":0.95},{"content":"No active work items were undertaken during this session—the session was purely for context loading and agent system initialization","type":"fact","confidence":0.9}],"entities":[{"source":"SessionStart:startup hook","relationship":"executed_successfully_during","target":"session initialization","confidence":0.95},{"source":"session","relationship":"located_in","target":"/home/nicholai/signet/signetai","confidence":0.95},{"source":"session","relationship":"on_branch","target":"main","confidence":0.95},{"source":"Signet agent system","relationship":"initialized_during","target":"session","confidence":0.9},{"source":"memory","relationship":"active_during","target":"session","confidence":0.95}],"proposals":[{"action":"none","confidence":0.95,"reason":"Candidate [5] already contains identical session information (same location, main branch, exact timestamp 2026-02-25T12:16:04.765Z). New fact is redundant.","fact":{"content":"Session started in /home/nicholai/signet/signetai on the main branch at 2026-02-25T12:16:04.765Z","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.92,"reason":"This fact is already well-covered by existing candidates, particularly [5] which explicitly states 'SessionStart:startup hook executed successfully with memory active'. Candidates [3] and [5] both document successful hook execution with memory activation in Signetai on this date. The new fact adds no novel information.","fact":{"content":"SessionStart:startup hook executed successfully with memory active during session initialization","type":"fact","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"This fact is already comprehensively covered by candidate [5], which explicitly documents that 'SessionStart:startup hook executed successfully with memory active and Signet agent system initialized' with full timestamp and context. The new fact adds no new information beyond what's already captured.","fact":{"content":"Signet agent system was initialized at session start","type":"fact","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate [4] (ID: e9661f08...) already documents the exact same fact: session initialization with no active work items, context loading, and agent system setup. The content is nearly identical and the statement is already captured in existing memory.","fact":{"content":"No active work items were undertaken during this session—the session was purely for context loading and agent system initialization","type":"fact","confidence":0.9}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 2367f0c6-0aaa-4337-abfe-c18ed281dcfe
memory_id: bc9f88eb-5e45-480a-a7bf-43423970ea89
job_type: extract
status: completed
leased_at: 2026-02-25T14:25:39.759Z
completed_at: 2026-02-25T14:27:11.487Z
created_at: 2026-02-25T12:36:32.844Z
updated_at: 2026-02-25T14:27:11.487Z
result:
  {"facts":[{"content":"Nicholai requested bulk deletion of all GitHub issues on the Signetai repository","type":"decision","confidence":0.95},{"content":"The Signetai repository GitHub issue tracker contains 18 total issues","type":"fact","confidence":0.95},{"content":"Two issues in the Signetai repository are closed: issue #1 and issue #22","type":"fact","confidence":0.95},{"content":"Sixteen issues in the Signetai repository are open: issues #7 through #21","type":"fact","confidence":0.95}],"entities":[{"source":"Nicholai","relationship":"requested bulk deletion of","target":"Signetai repository GitHub issues","confidence":0.95},{"source":"Signetai repository","relationship":"contains","target":"18 GitHub issues","confidence":0.95},{"source":"GitHub issues #1 and #22","relationship":"status","target":"closed","confidence":0.95},{"source":"GitHub issues #7-21","relationship":"status","target":"open","confidence":0.95}],"proposals":[{"action":"update","targetMemoryId":"bc9f88eb-5e45-480a-a7bf-43423970ea89","confidence":0.92,"reason":"New fact confirms the bulk deletion request for Signetai GitHub issues as a decision (0.95 confidence). Candidate #3 already captures this request with inventory details (18 total issues). Updating consolidates the decision status while preserving the operational context.","fact":{"content":"Nicholai requested bulk deletion of all GitHub issues on the Signetai repository","type":"decision","confidence":0.95},"targetContent":"## GitHub Issue Inventory Nicholai requested bulk deletion of GitHub issues on the Signetai repository. The assistant queried the issue tracker and found 18 total issues: 2 closed (issues #1 and #22) and 16 open (issues #7-21)."},{"action":"none","targetMemoryId":"bc9f88eb-5e45-480a-a7bf-43423970ea89","confidence":0.95,"reason":"Candidate [2] already comprehensively covers this fact with additional detail: 18 total issues (2 closed, 16 open). New fact is redundant.","fact":{"content":"The Signetai repository GitHub issue tracker contains 18 total issues","type":"fact","confidence":0.95},"targetContent":"## GitHub Issue Inventory Nicholai requested bulk deletion of GitHub issues on the Signetai repository. The assistant queried the issue tracker and found 18 total issues: 2 closed (issues #1 and #22) and 16 open (issues #7-21)."},{"action":"none","confidence":0.98,"reason":"Candidate bc9f88eb-5e45-480a-a7bf-43423970ea89 ('GitHub Issue Inventory') already contains this exact information: '2 closed (issues #1 and #22)'. New fact is fully covered by existing memory.","fact":{"content":"Two issues in the Signetai repository are closed: issue #1 and issue #22","type":"fact","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"New fact is already captured in candidate #4 (bc9f88eb-5e45-480a-a7bf-43423970ea89), which states '16 open (issues #7-21)'. No new information to add.","fact":{"content":"Sixteen issues in the Signetai repository are open: issues #7 through #21","type":"fact","confidence":0.95}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 847388b8-44fe-45a9-b6fd-09e7fb2d4b50
memory_id: 707d7eab-f92e-4093-bf66-a8dcd9ab704b
job_type: extract
status: completed
leased_at: 2026-02-25T14:27:13.495Z
completed_at: 2026-02-25T14:27:59.831Z
created_at: 2026-02-25T12:36:32.877Z
updated_at: 2026-02-25T14:27:59.831Z
result:
  {"facts":[{"content":"Open issues primarily track work on the OpenClaw plugin-first migration","type":"procedural","confidence":0.95},{"content":"The OpenClaw plugin-first migration scope includes GA hardening, deprecation gates, testing, metrics, and rollout controls","type":"fact","confidence":0.95}],"entities":[{"source":"open issues","relationship":"track","target":"OpenClaw plugin-first migration","confidence":0.95},{"source":"OpenClaw plugin-first migration","relationship":"includes","target":"GA hardening","confidence":0.95},{"source":"OpenClaw plugin-first migration","relationship":"includes","target":"deprecation gates","confidence":0.95},{"source":"OpenClaw plugin-first migration","relationship":"includes","target":"testing","confidence":0.95},{"source":"OpenClaw plugin-first migration","relationship":"includes","target":"metrics","confidence":0.95},{"source":"OpenClaw plugin-first migration","relationship":"includes","target":"rollout controls","confidence":0.95}],"proposals":[{"action":"none","confidence":0.9,"reason":"Candidate [5] already captures this fact: 'The open issues primarily track work on OpenClaw plugin-first migration, including GA hardening, deprecation gates, testing, metrics, and rollout controls.' The new fact is identical in substance, with less detail. No action needed.","fact":{"content":"Open issues primarily track work on the OpenClaw plugin-first migration","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.85,"reason":"Candidate [5] already captures the same scope details: GA hardening, deprecation gates, testing, metrics, and rollout controls are explicitly mentioned as part of the OpenClaw plugin-first migration tracking. The new fact restates what [5] already documents.","fact":{"content":"The OpenClaw plugin-first migration scope includes GA hardening, deprecation gates, testing, metrics, and rollout controls","type":"fact","confidence":0.95}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: f5df64cf-1275-4f6c-b02c-cc3dda7bf180
memory_id: 544c71ec-4e2d-44d1-b4ca-7dbb79e2731b
job_type: extract
status: completed
leased_at: 2026-02-25T14:28:01.831Z
completed_at: 2026-02-25T14:29:17.856Z
created_at: 2026-02-25T12:36:32.891Z
updated_at: 2026-02-25T14:29:17.856Z
result:
  {"facts":[{"content":"Closing GitHub issues is a standard operation that does not require special permissions","type":"procedural","confidence":0.9},{"content":"Deleting GitHub issues requires admin API permissions to execute","type":"procedural","confidence":0.9},{"content":"Deleting GitHub issues permanently removes them entirely from the system, unlike closing which archives them","type":"fact","confidence":0.9},{"content":"There is a meaningful distinction between closing (archival) and deletion (permanent removal) operations for GitHub issues","type":"semantic","confidence":0.85}],"entities":[{"source":"GitHub issues","relationship":"can be closed via","target":"standard operations","confidence":0.9},{"source":"GitHub issues","relationship":"can be deleted via","target":"admin API permissions","confidence":0.9},{"source":"deletion operation","relationship":"differs from","target":"closing operation","confidence":0.85},{"source":"admin API","relationship":"controls access to","target":"GitHub issue deletion","confidence":0.9}],"proposals":[{"action":"none","confidence":0.9,"reason":"Existing memory [5] already covers this distinction: it clarifies that closing issues is a standard operation while deletion requires admin permissions. The new fact is subsumed by the existing, more comprehensive memory.","fact":{"content":"Closing GitHub issues is a standard operation that does not require special permissions","type":"procedural","confidence":0.9}},{"action":"none","confidence":0.88,"reason":"Candidate [5] already captures the core fact: deletion requires admin API permissions and removes issues entirely. The new fact is a restatement of existing memory.","fact":{"content":"Deleting GitHub issues requires admin API permissions to execute","type":"procedural","confidence":0.9}},{"action":"none","confidence":0.85,"reason":"Candidate [3] already covers this exact distinction: it states that closing is the standard operation while deletion requires admin API permissions and removes issues entirely. The new fact restates this same information (that deletion is permanent removal vs. closing as an alternative operation).","fact":{"content":"Deleting GitHub issues permanently removes them entirely from the system, unlike closing which archives them","type":"fact","confidence":0.9}},{"action":"none","confidence":0.9,"reason":"Candidate [4] already comprehensively captures this distinction: closing (standard operation/archival) vs deletion (requires admin API, permanent removal). The new fact reiterates the same conceptual distinction without adding new information beyond emphasis that the distinction is 'meaningful.'","fact":{"content":"There is a meaningful distinction between closing (archival) and deletion (permanent removal) operations for GitHub issues","type":"semantic","confidence":0.85}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 0f51c93b-2744-4411-98fe-6059381bed77
memory_id: 2ba82500-58af-4606-9c4e-e3603683cc30
job_type: extract
status: completed
leased_at: 2026-02-25T14:29:19.857Z
completed_at: 2026-02-25T14:29:52.579Z
created_at: 2026-02-25T12:36:33.063Z
updated_at: 2026-02-25T14:29:52.579Z
result:
  {"facts":[{"content":"A conversation ended with an unresolved clarification request regarding the user's preferred method for deletion","type":"procedural","confidence":0.4}],"entities":[{"source":"clarification request","relationship":"awaits","target":"user direction","confidence":0.5},{"source":"pending request","relationship":"concerns","target":"deletion method preference","confidence":0.4}],"proposals":[{"action":"none","confidence":1,"reason":"Candidate #5 (ID: 2ba82500) already captures this exact fact: 'The conversation ended with a clarification request pending user direction on preferred deletion method.' The new fact is redundant with existing memory.","fact":{"content":"A conversation ended with an unresolved clarification request regarding the user's preferred method for deletion","type":"procedural","confidence":0.4}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 0b4b6304-fdd4-47f4-a908-63e187b59524
memory_id: 93dbe725-1057-4c7d-9fbe-3d45e03f0c60
job_type: extract
status: completed
leased_at: 2026-02-25T14:29:54.581Z
completed_at: 2026-02-25T14:31:30.034Z
created_at: 2026-02-25T12:39:13.466Z
updated_at: 2026-02-25T14:31:30.034Z
result:
  {"facts":[{"content":"Nicholai uses Claude Code as a development environment for the signetai repository","type":"preference","confidence":0.95},{"content":"The signetai repository has file history tracking enabled during development sessions","type":"fact","confidence":0.9},{"content":"Feedback from agents using Signet is reviewed to identify user-facing issues and improvement opportunities","type":"procedural","confidence":0.85},{"content":"Identified user-facing issues and improvements trigger investigation and implementation planning in signetai","type":"procedural","confidence":0.85}],"entities":[{"source":"Nicholai","relationship":"uses","target":"Claude Code","confidence":0.95},{"source":"Nicholai","relationship":"develops","target":"signetai repository","confidence":0.95},{"source":"signetai repository","relationship":"has enabled","target":"file history tracking","confidence":0.9},{"source":"Signet agent feedback","relationship":"identifies","target":"user-facing issues and improvements","confidence":0.85},{"source":"user-facing issues","relationship":"prompts","target":"investigation and implementation planning","confidence":0.85}],"proposals":[{"action":"add","confidence":0.85,"reason":"New fact establishes a development environment preference. While candidate [3] documents a specific Claude Code session with signetai, the new fact is a broader preference statement distinct from session events. Should be stored separately as a configuration/tool preference.","fact":{"content":"Nicholai uses Claude Code as a development environment for the signetai repository","type":"preference","confidence":0.95}},{"action":"add","confidence":0.85,"reason":"New fact is a general project practice (file history tracking enabled during dev sessions), while candidate [4] documents a specific session event. The new fact captures a broader development convention not fully characterized in existing memories.","fact":{"content":"The signetai repository has file history tracking enabled during development sessions","type":"fact","confidence":0.9}},{"action":"update","targetMemoryId":"93dbe725-1057-4c7d-9fbe-3d45e03f0c60","confidence":0.87,"reason":"New fact generalizes the procedural pattern from the specific session described in candidate [5]. Merging them creates a stronger procedural memory that captures both the general feedback review practice and a concrete example session.","fact":{"content":"Feedback from agents using Signet is reviewed to identify user-facing issues and improvement opportunities","type":"procedural","confidence":0.85},"targetContent":"## Session Start & Feedback Review Nicholai started a Claude Code session in the signetai repository to review feedback received from an agent using Signet. The session initialized at 12:09 UTC with file history tracking enabled. An image containing detailed feedback was presented for analysis, indicating a user-facing issue or improvement opportunity that warranted investigation and planning of implementation fixes."},{"action":"update","targetMemoryId":"93dbe725-1057-4c7d-9fbe-3d45e03f0c60","confidence":0.85,"reason":"New fact generalizes the procedural pattern from candidate [4]. Candidate [4] describes a specific session instance where user-facing issues triggered investigation and planning. Merge into a consolidated procedural memory about the signetai workflow pattern for handling user-facing issues and improvements.","fact":{"content":"Identified user-facing issues and improvements trigger investigation and implementation planning in signetai","type":"procedural","confidence":0.85},"targetContent":"## Session Start & Feedback Review Nicholai started a Claude Code session in the signetai repository to review feedback received from an agent using Signet. The session initialized at 12:09 UTC with file history tracking enabled. An image containing detailed feedback was presented for analysis, indicating a user-facing issue or improvement opportunity that warranted investigation and planning of implementation fixes."}],"writeMode":"phase-c","writeStats":{"added":2,"updated":2,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":2},"warnings":[]}


id: 56e3cf19-31cc-4ef1-91eb-4f4d5ddce173
memory_id: 734c7ca9-8e3d-43f7-9741-71a1ceb48b0f
job_type: extract
status: completed
leased_at: 2026-02-25T14:31:32.054Z
completed_at: 2026-02-25T14:32:58.196Z
created_at: 2026-02-25T13:05:27.271Z
updated_at: 2026-02-25T14:32:58.196Z
result:
  {"facts":[{"content":"Moving projection computation to the server reduces client-side computation burden","type":"rationale","confidence":0.85},{"content":"Server-side projection computation allows caching of expensive layout calculations","type":"rationale","confidence":0.85},{"content":"The api.ts file must add ProjectionNode and ProjectionResponse TypeScript types","type":"procedural","confidence":0.9},{"content":"The api.ts file must implement a getProjection() function with polling logic","type":"procedural","confidence":0.9},{"content":"The getProjection() function must handle HTTP 202 status code to indicate 'computing' state during polling","type":"procedural","confidence":0.85}],"entities":[{"source":"server","relationship":"reduces burden on","target":"client-side computation","confidence":0.85},{"source":"server","relationship":"caches","target":"expensive layout calculations","confidence":0.85},{"source":"api.ts","relationship":"must define","target":"ProjectionNode type","confidence":0.9},{"source":"api.ts","relationship":"must define","target":"ProjectionResponse type","confidence":0.9},{"source":"api.ts","relationship":"must implement","target":"getProjection() function","confidence":0.9},{"source":"getProjection() function","relationship":"handles","target":"HTTP 202 computing status","confidence":0.85}],"proposals":[{"action":"none","confidence":0.92,"reason":"Candidate [3] (ID: aa1b7509-...) already captures this rationale with more context: 'server-side UMAP projection refactoring offloads computational work from client to server, likely improving dashboard performance and reducing client-side CPU/memory usage during large embedding visualizations.' The new fact is a direct restatement of the same reasoning.","fact":{"content":"Moving projection computation to the server reduces client-side computation burden","type":"rationale","confidence":0.85}},{"action":"none","confidence":0.92,"reason":"Candidate [5] already captures this exact benefit: 'allows the server to cache expensive layout calculations.' The new fact is redundant and adds no new information.","fact":{"content":"Server-side projection computation allows caching of expensive layout calculations","type":"rationale","confidence":0.85}},{"action":"none","confidence":0.95,"reason":"Candidate [1] already captures this exact requirement (ProjectionNode and ProjectionResponse types for api.ts). New fact is semantically identical with slightly different phrasing ('must add' vs 'requires adding'). No new information to preserve.","fact":{"content":"The api.ts file must add ProjectionNode and ProjectionResponse TypeScript types","type":"procedural","confidence":0.9}},{"action":"none","confidence":0.95,"reason":"Candidate [3] already captures the identical procedural requirement: getProjection() function must include polling logic to handle HTTP 202 responses for 'computing' status. No new information added.","fact":{"content":"The api.ts file must implement a getProjection() function with polling logic","type":"procedural","confidence":0.9}},{"action":"none","confidence":0.95,"reason":"Candidate [4] already captures this exact procedural requirement: 'getProjection() function must include polling logic to handle HTTP 202 (Accepted) responses for in-progress computing status'. New fact is identical in meaning.","fact":{"content":"The getProjection() function must handle HTTP 202 status code to indicate 'computing' state during polling","type":"procedural","confidence":0.85}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 7106a280-8bc8-4ec7-ac1b-66724e61e43f
memory_id: 56c2e08f-73bf-4959-bb55-ac571aed8662
job_type: extract
status: completed
leased_at: 2026-02-25T14:38:08.816Z
completed_at: 2026-02-25T14:39:17.842Z
created_at: 2026-02-25T13:05:27.308Z
updated_at: 2026-02-25T14:39:17.842Z
result:
  {"facts":[{"content":"A migrateFromLegacy() method is being added to clean up old memory.mjs references from config files","type":"decision","confidence":0.8},{"content":"The uninstall() method is being updated to remove the bundled plugin and call migration cleanup","type":"decision","confidence":0.8},{"content":"The isInstalled() method is being simplified to check only for plugins/signet.mjs file existence","type":"decision","confidence":0.8},{"content":"The OpenCode connector plugin uses a bundled file at plugins/signet.mjs that can be installed and uninstalled","type":"fact","confidence":0.75},{"content":"Legacy OpenCode plugin configuration stored old memory.mjs references in config files that need migration cleanup","type":"fact","confidence":0.75}],"entities":[{"source":"migrateFromLegacy()","relationship":"cleans up","target":"old memory.mjs references in config files","confidence":0.8},{"source":"uninstall()","relationship":"removes","target":"bundled plugin","confidence":0.8},{"source":"uninstall()","relationship":"calls","target":"migration cleanup","confidence":0.8},{"source":"isInstalled()","relationship":"checks for","target":"plugins/signet.mjs","confidence":0.8}],"proposals":[{"action":"none","confidence":0.95,"reason":"Candidate #1 already documents the migrateFromLegacy() method addition in detail, including its purpose of cleaning up old memory.mjs references. The new fact is a restatement of existing memory content and would create duplication.","fact":{"content":"A migrateFromLegacy() method is being added to clean up old memory.mjs references from config files","type":"decision","confidence":0.8}},{"action":"none","confidence":0.95,"reason":"Candidate [4] already captures this exact fact: 'uninstall() function is being updated to remove the bundled plugin and invoke migrateFromLegacy() to clean up legacy references'. New fact is redundant with existing procedural memory.","fact":{"content":"The uninstall() method is being updated to remove the bundled plugin and call migration cleanup","type":"decision","confidence":0.8}},{"action":"none","confidence":0.95,"reason":"Candidate 4 (56c2e08f...) already documents this exact change: 'Simplifying `isInstalled()` to just check for `plugins/signet.mjs` existence'. The new fact is already captured in the existing memory record.","fact":{"content":"The isInstalled() method is being simplified to check only for plugins/signet.mjs file existence","type":"decision","confidence":0.8}},{"action":"none","confidence":0.85,"reason":"New fact is already comprehensively covered by existing candidate [3] (ID: 2a6bca5f-81d1-48b7-a94f-d88778f70c4b), which explicitly states the connector writes bundled plugin to ~/.config/opencode/plugins/signet.mjs and handles install/uninstall. Candidates [4] and [5] provide additional procedural detail. No new information to capture.","fact":{"content":"The OpenCode connector plugin uses a bundled file at plugins/signet.mjs that can be installed and uninstalled","type":"fact","confidence":0.75}},{"action":"none","confidence":0.85,"reason":"Candidate #5 (ID: 56c2e08f-73bf-4959-bb55-ac571aed8662) already captures this fact: 'Adding migrateFromLegacy() method to clean up old memory.mjs references from config files'. The new fact restates existing coverage without adding substantive new information.","fact":{"content":"Legacy OpenCode plugin configuration stored old memory.mjs references in config files that need migration cleanup","type":"fact","confidence":0.75}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: d9a8049d-0188-4938-8c38-f9c049bf5ee5
memory_id: 0302241a-a6ca-40fc-93c7-5dd7c9404417
job_type: extract
status: completed
leased_at: 2026-02-25T14:33:08.714Z
completed_at: 2026-02-25T14:35:09.303Z
created_at: 2026-02-25T13:05:27.322Z
updated_at: 2026-02-25T14:35:09.303Z
result:
  {"facts":[{"content":"The GitHub Actions release.yml workflow automatically bumps patch versions across all package.json files when code is pushed to main","type":"procedural","confidence":0.95},{"content":"The GitHub Actions release.yml workflow automatically generates a changelog via scripts/changelog.ts","type":"procedural","confidence":0.95},{"content":"The GitHub Actions release.yml workflow automatically commits version bumps and pushes them back to the repository with git tags","type":"procedural","confidence":0.95},{"content":"After the GitHub Actions release.yml workflow completes, the local repository is left 1 commit behind the remote repository","type":"fact","confidence":0.95},{"content":"The current workflow requires developers to manually run 'git pull' after pushing code to main to sync the version bump commits created by the release workflow","type":"fact","confidence":0.9},{"content":"The session goal is to implement an auto-pull mechanism to eliminate the need for manual 'git pull' after pushing to main","type":"decision","confidence":0.9},{"content":"The post-push auto-pull hook solves the workflow friction created by GitHub Actions release automation pushing back commits after the initial developer push","type":"rationale","confidence":0.85}],"entities":[{"source":"GitHub Actions release.yml","relationship":"automatically bumps","target":"package.json version fields","confidence":0.95},{"source":"GitHub Actions release.yml","relationship":"automatically generates","target":"changelog","confidence":0.95},{"source":"GitHub Actions release.yml","relationship":"pushes back to","target":"remote repository","confidence":0.95},{"source":"local repository","relationship":"becomes out of sync with","target":"remote repository","confidence":0.9},{"source":"developer workflow","relationship":"requires manual","target":"git pull","confidence":0.9},{"source":"post-push auto-pull hook","relationship":"eliminates need for","target":"manual git pull","confidence":0.85}],"proposals":[{"action":"none","confidence":0.92,"reason":"New fact about automatic patch version bumping is already captured in memory ID 0302241a-a6ca-40fc-93c7-5dd7c9404417, which explicitly documents that the release.yml workflow 'automatically bumps versions, generates changelogs, and pushes back'","fact":{"content":"The GitHub Actions release.yml workflow automatically bumps patch versions across all package.json files when code is pushed to main","type":"procedural","confidence":0.95}},{"action":"update","targetMemoryId":"d505afb4-a80f-4a32-bfec-81ef307ce372","confidence":0.9,"reason":"New fact provides procedural implementation detail (scripts/changelog.ts) for the existing memory about CI-driven changelog generation. Merge to enhance specificity while keeping the same core idea.","fact":{"content":"The GitHub Actions release.yml workflow automatically generates a changelog via scripts/changelog.ts","type":"procedural","confidence":0.95},"targetContent":"CI workflow modification adds changelog generation to release process, appending CHANGELOG.md to the release commit alongside version bumps."},{"action":"update","targetMemoryId":"d505afb4-a80f-4a32-bfec-81ef307ce372","confidence":0.9,"reason":"New fact adds git tag details to the CI workflow behavior. Merge with candidate 3 to create complete description: CI automatically commits version bumps (alongside changelog), pushes them back to repository with git tags.","fact":{"content":"The GitHub Actions release.yml workflow automatically commits version bumps and pushes them back to the repository with git tags","type":"procedural","confidence":0.95},"targetContent":"CI workflow modification adds changelog generation to release process, appending CHANGELOG.md to the release commit alongside version bumps."},{"action":"none","confidence":0.95,"reason":"Candidate [5] already explicitly captures this fact: 'The GitHub Actions `release.yml` workflow automatically bumps versions, generates changelogs, and pushes back, leaving the local repo 1 commit behind.' The new observation is redundant with existing memory.","fact":{"content":"After the GitHub Actions release.yml workflow completes, the local repository is left 1 commit behind the remote repository","type":"fact","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"New fact restates the original problem already documented in candidate [5] ('The session began with a plan to eliminate manual `git pull`'). Candidate [1] shows the solution was implemented (polling script + pushsync alias). New fact is redundant with existing memory and may be outdated given the automation described in [1] and [4].","fact":{"content":"The current workflow requires developers to manually run 'git pull' after pushing code to main to sync the version bump commits created by the release workflow","type":"fact","confidence":0.9}},{"action":"none","confidence":0.95,"reason":"Candidate [5] (0302241a) already captures this session goal clearly: 'The session began with a plan to eliminate manual `git pull` after pushing to main.' The new fact restates the same objective without adding new information.","fact":{"content":"The session goal is to implement an auto-pull mechanism to eliminate the need for manual 'git pull' after pushing to main","type":"decision","confidence":0.9}},{"action":"none","confidence":0.92,"reason":"New fact is already covered by candidate 0302241a, which describes the problem (GitHub Actions pushing back commits, leaving local repo behind) and the solution (auto-pull hook to eliminate manual git pull). The new fact restates the same rationale at a higher level without adding new information.","fact":{"content":"The post-push auto-pull hook solves the workflow friction created by GitHub Actions release automation pushing back commits after the initial developer push","type":"rationale","confidence":0.85}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":2,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 474e3f9d-3d4f-4889-945b-c69e5a52dc3a
memory_id: 45d2876f-0159-4acc-a6c4-f5f790554bcf
job_type: extract
status: completed
leased_at: 2026-02-25T14:35:11.304Z
completed_at: 2026-02-25T14:36:09.792Z
created_at: 2026-02-25T13:05:27.339Z
updated_at: 2026-02-25T14:36:09.792Z
result:
  {"facts":[{"content":"The unified skills search feature combines skills.sh API search with client-side filtering of a cached ClawHub catalog","type":"procedural","confidence":0.85},{"content":"ClawHub cache and fetch logic is added to packages/daemon/src/daemon.ts as part of the unified skills search implementation","type":"procedural","confidence":0.85},{"content":"The /api/skills/browse and /api/skills/search endpoints are updated to merge multiple skills providers in the unified search implementation","type":"procedural","confidence":0.85},{"content":"The unified skills search implementation follows a three-phase execution order: (1) Backend ClawHub cache + fetch logic, (2) Update API endpoints to merge providers, (3) [incomplete]","type":"procedural","confidence":0.7}],"entities":[{"source":"skills.sh","relationship":"provides","target":"API search capability","confidence":0.85},{"source":"ClawHub","relationship":"provides","target":"skills catalog","confidence":0.85},{"source":"packages/daemon/src/daemon.ts","relationship":"contains","target":"ClawHub cache and fetch logic","confidence":0.85},{"source":"/api/skills/browse","relationship":"merges","target":"multiple skills providers","confidence":0.8},{"source":"/api/skills/search","relationship":"merges","target":"multiple skills providers","confidence":0.8}],"proposals":[{"action":"none","confidence":0.95,"reason":"Candidate [5] already contains this exact architectural detail: 'Unified search (skills.sh API search + client-side filtering of cached ClawHub catalog)'. The new fact is a duplicate of existing memory.","fact":{"content":"The unified skills search feature combines skills.sh API search with client-side filtering of a cached ClawHub catalog","type":"procedural","confidence":0.85}},{"action":"update","targetMemoryId":"45d2876f-0159-4acc-a6c4-f5f790554bcf","confidence":0.92,"reason":"New fact confirms completion of step 1 in the unified skills search execution plan. Candidate [5] already tracks this implementation task; updating it to reflect that ClawHub cache/fetch logic has been added to daemon.ts.","fact":{"content":"ClawHub cache and fetch logic is added to packages/daemon/src/daemon.ts as part of the unified skills search implementation","type":"procedural","confidence":0.85},"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."},{"action":"none","confidence":0.92,"reason":"Candidate [3] already captures this procedural knowledge: '/api/skills/browse and /api/skills/search endpoints are updated to merge multiple skills provider sources'. New fact is redundant with existing memory.","fact":{"content":"The /api/skills/browse and /api/skills/search endpoints are updated to merge multiple skills providers in the unified search implementation","type":"procedural","confidence":0.85}},{"action":"none","confidence":0.95,"reason":"New fact (execution order 1-2-3 [incomplete]) is already covered by candidate 5 (ID: 45d2876f), which contains the same procedural structure and incomplete state. Both describe the same implementation phases.","fact":{"content":"The unified skills search implementation follows a three-phase execution order: (1) Backend ClawHub cache + fetch logic, (2) Update API endpoints to merge providers, (3) [incomplete]","type":"procedural","confidence":0.7}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 33dc45ca-f457-4353-b106-d5f61d83ba37
memory_id: 86615703-fc2b-4f7a-b9be-31064c5c736b
job_type: extract
status: completed
leased_at: 2026-02-25T14:36:11.793Z
completed_at: 2026-02-25T14:37:11.841Z
created_at: 2026-02-25T13:05:27.358Z
updated_at: 2026-02-25T14:37:11.841Z
result:
  {"facts":[{"content":"Before proposing a redesign, conduct discovery by launching an Explore agent to understand current navigation structure, site architecture, tech stack, and existing design aesthetic","type":"procedural","confidence":0.85},{"content":"Discovery and context-gathering work should precede implementation work to ensure proposals are well-informed and grounded in existing codebase patterns","type":"procedural","confidence":0.85},{"content":"The Explore agent is suitable for investigating navigation structure, site architecture, tech stack details, and design aesthetic of existing projects","type":"semantic","confidence":0.8}],"entities":[{"source":"Explore agent","relationship":"investigates","target":"navigation structure","confidence":0.85},{"source":"Explore agent","relationship":"investigates","target":"site architecture","confidence":0.85},{"source":"Explore agent","relationship":"investigates","target":"tech stack","confidence":0.85},{"source":"Explore agent","relationship":"investigates","target":"design aesthetic","confidence":0.85},{"source":"discovery phase","relationship":"precedes","target":"implementation phase","confidence":0.8}],"proposals":[{"action":"none","confidence":0.92,"reason":"New fact is already well-covered by existing memories. Candidate [3] (ID: 4ef135b0...) explicitly documents the context-first approach rationale, and candidate [5] (ID: 86615703...) describes the actual procedural practice of launching an Explore agent before proposing redesigns. The new fact restates the same workflow guidance that's already captured.","fact":{"content":"Before proposing a redesign, conduct discovery by launching an Explore agent to understand current navigation structure, site architecture, tech stack, and existing design aesthetic","type":"procedural","confidence":0.85}},{"action":"update","targetMemoryId":"8b3a8742-905f-4192-b9f7-2f2bde778095","confidence":0.82,"reason":"New fact generalizes and elevates candidate [2] from a specific phase intention into a broader procedural principle. Both describe the discovery→context-gathering→implementation workflow; merging creates a stronger, more principle-based guideline that applies across all implementation work, not just redesigns.","fact":{"content":"Discovery and context-gathering work should precede implementation work to ensure proposals are well-informed and grounded in existing codebase patterns","type":"procedural","confidence":0.85},"targetContent":"The context-gathering phase was intended to provide the foundation for proposing a redesign"},{"action":"update","targetMemoryId":"86615703-fc2b-4f7a-b9be-31064c5c736b","confidence":0.9,"reason":"The new fact generalizes a capability pattern already described in candidate #5. Both describe using Explore for investigating navigation structure, site architecture, tech stack, and design aesthetic. Refactoring the existing memory from a specific instance into a general principle eliminates duplication and preserves the observation.","fact":{"content":"The Explore agent is suitable for investigating navigation structure, site architecture, tech stack details, and design aesthetic of existing projects","type":"semantic","confidence":0.8},"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."}],"writeMode":"phase-c","writeStats":{"added":0,"updated":2,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 000fa913-87fd-4b71-9c8e-c087d56f5750
memory_id: 4788cc98-3e8d-4bd5-8400-8dfb81e10f65
job_type: extract
status: completed
leased_at: 2026-02-25T14:37:13.842Z
completed_at: 2026-02-25T14:38:06.814Z
created_at: 2026-02-25T13:05:27.405Z
updated_at: 2026-02-25T14:38:06.814Z
result:
  {"facts":[{"content":"Nicholai is interested in discovering Steam API endpoints that provide live data beyond simple store pages for integration into his website","type":"preference","confidence":0.9},{"content":"Nicholai wants to integrate Steam data including version numbers, release dates, update status, and player counts into his website","type":"preference","confidence":0.9},{"content":"The goal is to move beyond basic Steam store page scraping to access more detailed live data endpoints","type":"semantic","confidence":0.85}],"entities":[{"source":"Nicholai","relationship":"interested in discovering","target":"Steam API endpoints","confidence":0.9},{"source":"Nicholai's website","relationship":"requires","target":"live Steam data","confidence":0.9},{"source":"Steam API endpoints","relationship":"provide","target":"version numbers","confidence":0.8},{"source":"Steam API endpoints","relationship":"provide","target":"release dates","confidence":0.8},{"source":"Steam API endpoints","relationship":"provide","target":"update status","confidence":0.8},{"source":"Steam API endpoints","relationship":"provide","target":"player counts","confidence":0.8}],"proposals":[{"action":"none","confidence":0.95,"reason":"Candidate [5] already captures this exact preference: Nicholai's interest in discovering Steam endpoints beyond store pages to feed live data into his website. The new fact is a restatement of existing memory.","fact":{"content":"Nicholai is interested in discovering Steam API endpoints that provide live data beyond simple store pages for integration into his website","type":"preference","confidence":0.9}},{"action":"update","targetMemoryId":"4788cc98-3e8d-4bd5-8400-8dfb81e10f65","confidence":0.95,"reason":"New fact is a stated preference that directly matches existing candidate 5, which already documents the exact same data requirements (version numbers, release dates, update status, player counts). Update elevates this from exploration interest to active preference, strengthening the memory.","fact":{"content":"Nicholai wants to integrate Steam data including version numbers, release dates, update status, and player counts into his website","type":"preference","confidence":0.9},"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.)."},{"action":"none","confidence":0.92,"reason":"Candidate 5 (ID: 4788cc98-3e8d-4bd5-8400-8dfb81e10f65) already captures this exact concept: discovering Steam endpoints beyond simple store pages for live data. The new fact restates the same goal without adding material detail or changing the core understanding.","fact":{"content":"The goal is to move beyond basic Steam store page scraping to access more detailed live data endpoints","type":"semantic","confidence":0.85}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 52df12f7-a5aa-4c94-870f-a4f84ecbb935
memory_id: 5bacab7a-918b-4108-aa11-273128d92c55
job_type: extract
status: completed
leased_at: 2026-02-25T14:39:19.845Z
completed_at: 2026-02-25T14:40:19.257Z
created_at: 2026-02-25T13:05:27.548Z
updated_at: 2026-02-25T14:40:19.257Z
result:
  {"facts":[{"content":"The session was initialized in the oddcore-website project directory","type":"procedural","confidence":0.95},{"content":"The user invoked the /mobile-design skill to evaluate the site's mobile performance and design","type":"procedural","confidence":0.95},{"content":"The user requested suggestions for visual improvements to the oddcore-website for mobile","type":"procedural","confidence":0.9},{"content":"The user requested suggestions for interactive improvements to the oddcore-website for mobile","type":"procedural","confidence":0.9}],"entities":[{"source":"session","relationship":"initialized in","target":"oddcore-website project directory","confidence":0.95},{"source":"user","relationship":"invoked","target":"/mobile-design skill","confidence":0.95},{"source":"/mobile-design skill","relationship":"evaluates","target":"mobile performance and design","confidence":0.9},{"source":"oddcore-website","relationship":"subject of","target":"mobile design evaluation","confidence":0.9}],"proposals":[{"action":"none","confidence":0.95,"reason":"Candidate 5 already captures this fact with full context: session initialization in oddcore-website directory plus the /mobile-design skill invocation. The new fact is redundant and fully covered.","fact":{"content":"The session was initialized in the oddcore-website project directory","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate [4] already captures this fact with additional context: same /mobile-design skill invocation in oddcore-website project to evaluate mobile performance and design, plus the request for improvement suggestions. New fact is subsumed by existing memory.","fact":{"content":"The user invoked the /mobile-design skill to evaluate the site's mobile performance and design","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.88,"reason":"Candidate [5] already captures this memory: user invoked /mobile-design skill requesting suggestions for visual and interactive improvements for mobile. New fact is redundant coverage of the same user request.","fact":{"content":"The user requested suggestions for visual improvements to the oddcore-website for mobile","type":"procedural","confidence":0.9}},{"action":"none","confidence":0.85,"reason":"Candidate 5 already documents the exact session where the user invoked `/mobile-design` skill and requested suggestions for visual and interactive improvements to oddcore-website mobile design. The new fact is describing the same request and is fully covered by existing memory.","fact":{"content":"The user requested suggestions for interactive improvements to the oddcore-website for mobile","type":"procedural","confidence":0.9}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 4c3a5fe3-e37c-4bf1-993a-6bdb91148b0c
memory_id: 305d14b9-1cd9-40c1-8e64-6514b32464f2
job_type: extract
status: completed
leased_at: 2026-02-25T14:40:21.259Z
completed_at: 2026-02-25T14:41:11.113Z
created_at: 2026-02-25T13:05:27.569Z
updated_at: 2026-02-25T14:41:11.113Z
result:
  {"facts":[{"content":"Nicholai requested a comprehensive UI/UX audit of the oddcore-website project","type":"decision","confidence":0.95},{"content":"The oddcore-website UI/UX audit specifically focuses on routing bugs and animation bugs","type":"procedural","confidence":0.95},{"content":"An Explore agent was spawned to systematically investigate the oddcore-website codebase during the audit session","type":"procedural","confidence":0.95}],"entities":[{"source":"Nicholai","relationship":"requested","target":"comprehensive UI/UX audit","confidence":0.95},{"source":"UI/UX audit","relationship":"targets","target":"oddcore-website project","confidence":0.95},{"source":"audit scope","relationship":"focuses_on","target":"routing bugs","confidence":0.95},{"source":"audit scope","relationship":"focuses_on","target":"animation bugs","confidence":0.95},{"source":"audit session","relationship":"spawned","target":"Explore agent","confidence":0.9}],"proposals":[{"action":"none","confidence":0.95,"reason":"Candidate [305d14b9-1cd9-40c1-8e64-6514b32464f2] already captures this fact with greater detail: it explicitly records Nicholai's request for a comprehensive UI/UX audit of oddcore-website, with additional context about the specific focus on routing and animation bugs. The new fact is subsumed by this existing memory.","fact":{"content":"Nicholai requested a comprehensive UI/UX audit of the oddcore-website project","type":"decision","confidence":0.95}},{"action":"none","confidence":0.9,"reason":"Candidate [5] already captures this fact: 'requesting a comprehensive UI/UX audit...focusing specifically on routing and animation bugs'. The new fact is redundant with existing memory.","fact":{"content":"The oddcore-website UI/UX audit specifically focuses on routing bugs and animation bugs","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate [5] (ID: 305d14b9-1cd9-40c1-8e64-6514b32464f2) already captures this exact fact: 'The session began by spawning an Explore agent to systematically investigate the codebase' as part of the Routing & Animation Audit. New fact is already covered.","fact":{"content":"An Explore agent was spawned to systematically investigate the oddcore-website codebase during the audit session","type":"procedural","confidence":0.95}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 7f01af42-39cf-407a-8dfe-6f97ab7f42bd
memory_id: bc3afb94-91be-4f41-97ca-cde891aa475f
job_type: extract
status: completed
leased_at: 2026-02-25T14:41:13.115Z
completed_at: 2026-02-25T14:41:43.882Z
created_at: 2026-02-25T13:12:40.573Z
updated_at: 2026-02-25T14:41:43.882Z
result:
  {"facts":[{"content":"Nicholai reviewed and approved a detailed implementation plan for adding retroactive deduplication to the Signet memory pipeline","type":"decision","confidence":0.95}],"entities":[{"source":"Nicholai","relationship":"reviewed-and-approved","target":"implementation plan for retroactive deduplication in Signet memory pipeline","confidence":0.95},{"source":"implementation plan","relationship":"adds-feature","target":"retroactive deduplication","confidence":0.95},{"source":"retroactive deduplication","relationship":"applies-to","target":"Signet memory pipeline","confidence":0.95}],"proposals":[{"action":"none","confidence":0.98,"reason":"New fact is already captured in candidate [4] (ID: bc3afb94-91be-4f41-97ca-cde891aa475f) - exact same decision about retroactive deduplication plan approval. No new information to store.","fact":{"content":"Nicholai reviewed and approved a detailed implementation plan for adding retroactive deduplication to the Signet memory pipeline","type":"decision","confidence":0.95}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: c9fb5f34-43c1-4630-a5d0-edacad67a74d
memory_id: 11f0a217-e912-47c4-9aef-fe9ac1f9164b
job_type: extract
status: completed
leased_at: 2026-02-25T14:41:45.884Z
completed_at: 2026-02-25T14:42:51.381Z
created_at: 2026-02-25T13:12:40.598Z
updated_at: 2026-02-25T14:42:51.381Z
result:
  {"facts":[{"content":"The Signet daemon's memory extraction pipeline currently only detects exact duplicate memories at write time through content_hash uniqueness constraints","type":"fact","confidence":0.9},{"content":"Legacy databases in Signet accumulated memories without processing through the extraction pipeline","type":"fact","confidence":0.85},{"content":"A feature is being implemented to address and deduplicate memories in legacy databases that were accumulated before the extraction pipeline was operational","type":"decision","confidence":0.8},{"content":"Exact duplicates in the memory system are prevented only at write time via content_hash uniqueness constraints, not retroactively on existing legacy data","type":"rationale","confidence":0.85}],"entities":[{"source":"Signet daemon extraction pipeline","relationship":"detects duplicates via","target":"content_hash uniqueness constraints","confidence":0.9},{"source":"legacy databases","relationship":"accumulated","target":"unprocessed memories","confidence":0.85},{"source":"new feature","relationship":"addresses","target":"legacy database deduplication problem","confidence":0.8},{"source":"extraction pipeline","relationship":"operates at","target":"write time","confidence":0.9}],"proposals":[{"action":"none","confidence":0.95,"reason":"Candidate [4] already captures this exact fact: 'currently only catch exact duplicates at write time via content_hash uniqueness constraints.' The new fact adds no materially new information.","fact":{"content":"The Signet daemon's memory extraction pipeline currently only detects exact duplicate memories at write time through content_hash uniqueness constraints","type":"fact","confidence":0.9}},{"action":"none","confidence":0.92,"reason":"New fact is already covered by candidate #3, which explicitly states 'legacy databases that accumulated memories without the extraction pipeline.' The existing memory provides more context about the duplicate detection mechanism and feature scope.","fact":{"content":"Legacy databases in Signet accumulated memories without processing through the extraction pipeline","type":"fact","confidence":0.85}},{"action":"none","confidence":0.85,"reason":"Candidate 5 explicitly covers this: 'The feature addresses legacy databases that accumulated memories without the extraction pipeline'. Candidate 4 mentions the implementation plan. New fact is a restatement of already-captured context about backwards deduplication.","fact":{"content":"A feature is being implemented to address and deduplicate memories in legacy databases that were accumulated before the extraction pipeline was operational","type":"decision","confidence":0.8}},{"action":"update","targetMemoryId":"11f0a217-e912-47c4-9aef-fe9ac1f9164b","confidence":0.9,"reason":"New fact refines candidate [1] by clarifying that write-time duplicate prevention does NOT retroactively fix existing legacy data. These describe the same technical mechanism with the new fact adding important context about forward-looking vs. retroactive behavior.","fact":{"content":"Exact duplicates in the memory system are prevented only at write time via content_hash uniqueness constraints, not retroactively on existing legacy data","type":"rationale","confidence":0.85},"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."}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 9f63040f-f75c-4b84-b54f-cd6eb0c05cea
memory_id: 6082e780-206a-41cf-a11c-d93d8610cc47
job_type: extract
status: completed
leased_at: 2026-02-25T14:42:53.383Z
completed_at: 2026-02-25T14:44:09.293Z
created_at: 2026-02-25T13:12:40.625Z
updated_at: 2026-02-25T14:44:09.293Z
result:
  {"facts":[{"content":"A repair action plan spans 6 files and implements a two-phase clustering strategy for deduplication or reconciliation","type":"decision","confidence":0.9},{"content":"Phase 1 of the repair action uses exact hash clustering implemented via SQL GROUP BY","type":"procedural","confidence":0.9},{"content":"Phase 1 clustering is designed to be computationally cheap compared to semantic approaches, using basic SQL GROUP BY rather than machine learning inference","type":"rationale","confidence":0.85},{"content":"Phase 2 of the repair action uses semantic clustering via KNN (k-nearest neighbors) applied to embedded memories","type":"procedural","confidence":0.9},{"content":"Phase 2 of the repair action is marked as optional, allowing users to skip semantic clustering refinement if computational resources are constrained","type":"decision","confidence":0.85}],"entities":[{"source":"repair action plan","relationship":"spans","target":"6 files","confidence":0.9},{"source":"repair action","relationship":"uses","target":"two-phase clustering approach","confidence":0.9},{"source":"phase 1","relationship":"implements","target":"exact hash clustering via SQL GROUP BY","confidence":0.9},{"source":"phase 2","relationship":"implements","target":"semantic clustering via KNN","confidence":0.9},{"source":"phase 2 clustering","relationship":"operates_on","target":"embedded memories","confidence":0.9},{"source":"phase 2","relationship":"is","target":"optional","confidence":0.85}],"proposals":[{"action":"none","confidence":0.95,"reason":"Candidate [4] already captures this exact information with greater specificity: '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.' The new fact is a less detailed restatement of the same decision.","fact":{"content":"A repair action plan spans 6 files and implements a two-phase clustering strategy for deduplication or reconciliation","type":"decision","confidence":0.9}},{"action":"none","confidence":0.95,"reason":"Candidate [4] already explicitly documents that Phase 1 uses 'exact hash clustering (cheap SQL GROUP BY)' — the new fact is already covered","fact":{"content":"Phase 1 of the repair action uses exact hash clustering implemented via SQL GROUP BY","type":"procedural","confidence":0.9}},{"action":"update","targetMemoryId":"6082e780-206a-41cf-a11c-d93d8610cc47","confidence":0.92,"reason":"New fact elaborates on Phase 1 design philosophy in candidate 4. Candidate already mentions 'exact hash clustering (cheap SQL GROUP BY)' as phase 1; new fact explicitly states the intentional design tradeoff: computational cheapness via SQL GROUP BY vs semantic approaches via ML. Merge to create more complete picture of the two-phase repair strategy.","fact":{"content":"Phase 1 clustering is designed to be computationally cheap compared to semantic approaches, using basic SQL GROUP BY rather than machine learning inference","type":"rationale","confidence":0.85},"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."},{"action":"none","confidence":0.95,"reason":"Candidate [3] already documents the two-phase repair action with 'optional semantic clustering via KNN on embedded memories' as phase 2. New fact is a minor rephrasing of existing memory content.","fact":{"content":"Phase 2 of the repair action uses semantic clustering via KNN (k-nearest neighbors) applied to embedded memories","type":"procedural","confidence":0.9}},{"action":"update","targetMemoryId":"6082e780-206a-41cf-a11c-d93d8610cc47","confidence":0.9,"reason":"New fact clarifies the design rationale for Phase 2 optionality in the existing two-phase repair plan. Candidate [4] already established that Phase 2 is optional; this fact adds the resource constraint motivation for that design decision. Merge to provide complete context.","fact":{"content":"Phase 2 of the repair action is marked as optional, allowing users to skip semantic clustering refinement if computational resources are constrained","type":"decision","confidence":0.85},"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."}],"writeMode":"phase-c","writeStats":{"added":0,"updated":2,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: d8a30bb5-37d0-4ca8-94f9-5829dac7162d
memory_id: 437a05ac-992b-48ec-8913-7285e0d8b0b4
job_type: extract
status: completed
leased_at: 2026-02-25T14:44:11.311Z
completed_at: 2026-02-25T14:45:39.325Z
created_at: 2026-02-25T13:12:40.653Z
updated_at: 2026-02-25T14:45:39.325Z
result:
  {"facts":[{"content":"Keeper selection process uses a weighted scoring algorithm combining importance (weighted × 3), normalized access/update counts, and recency as a tiebreaker to determine memory retention","type":"procedural","confidence":0.95},{"content":"Pinned memories receive special protection and are excluded from standard keeper selection scoring","type":"fact","confidence":0.9},{"content":"Manually-overridden memories receive special protection in the keeper selection process","type":"fact","confidence":0.9},{"content":"Memory tag merging combines comma-separated tag strings from multiple memory records into unified tags","type":"procedural","confidence":0.9},{"content":"The memory system uses soft-deletes for all changes rather than permanent deletion, preserving historical data","type":"decision","confidence":0.95},{"content":"All memory changes are tracked with full audit trails for accountability, debugging, and recovery purposes","type":"procedural","confidence":0.95}],"entities":[{"source":"keeper selection","relationship":"uses","target":"weighted scoring algorithm","confidence":0.95},{"source":"weighted scoring algorithm","relationship":"weights","target":"importance (× 3)","confidence":0.95},{"source":"weighted scoring algorithm","relationship":"includes","target":"normalized access/update counts","confidence":0.95},{"source":"weighted scoring algorithm","relationship":"uses_as_tiebreaker","target":"recency","confidence":0.95},{"source":"keeper selection","relationship":"protects","target":"pinned memories","confidence":0.9},{"source":"keeper selection","relationship":"protects","target":"manually-overridden memories","confidence":0.9},{"source":"memory system","relationship":"uses","target":"soft-deletes","confidence":0.95},{"source":"memory changes","relationship":"tracked_by","target":"audit trails","confidence":0.95}],"proposals":[{"action":"none","confidence":0.98,"reason":"New fact is already fully covered by candidate 437a05ac-992b-48ec-8913-7285e0d8b0b4, which contains identical keeper selection details (importance × 3, normalized access/update counts, recency tiebreaker) plus additional context about pinned memories and audit trails","fact":{"content":"Keeper selection process uses a weighted scoring algorithm combining importance (weighted × 3), normalized access/update counts, and recency as a tiebreaker to determine memory retention","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate [1] already comprehensively covers this fact: it explicitly mentions 'special protection for pinned and manually-overridden memories' within the keeper selection weighted scoring algorithm. The new fact is a subset of information already present in the existing memory.","fact":{"content":"Pinned memories receive special protection and are excluded from standard keeper selection scoring","type":"fact","confidence":0.9}},{"action":"none","confidence":0.95,"reason":"Candidate #4 already explicitly covers this exact information: 'Keeper selection uses a weighted scoring algorithm... with special protection for pinned and manually-overridden memories.' No new or refined information to add.","fact":{"content":"Manually-overridden memories receive special protection in the keeper selection process","type":"fact","confidence":0.9}},{"action":"none","confidence":0.85,"reason":"Existing candidate [5] already documents tag merging of comma-separated strings as part of keeper selection logic. The new fact refines the scope (multiple records → unified) but the core concept is already covered. No separate storage needed.","fact":{"content":"Memory tag merging combines comma-separated tag strings from multiple memory records into unified tags","type":"procedural","confidence":0.9}},{"action":"none","confidence":0.95,"reason":"New fact is already comprehensively covered by candidate [4], which explicitly states 'all changes are soft-deletes with full audit trails.' No new information to add or update.","fact":{"content":"The memory system uses soft-deletes for all changes rather than permanent deletion, preserving historical data","type":"decision","confidence":0.95}},{"action":"update","targetMemoryId":"437a05ac-992b-48ec-8913-7285e0d8b0b4","confidence":0.85,"reason":"New fact directly complements candidate [5] which already mentions 'full audit trails' for soft-deletes. The new fact adds the 'why' (accountability, debugging, recovery). Merge them to create a more complete memory about audit trail principles and implementation.","fact":{"content":"All memory changes are tracked with full audit trails for accountability, debugging, and recovery purposes","type":"procedural","confidence":0.95},"targetContent":"Keeper selection uses a weighted scoring algorithm (importance × 3, normalized access/update counts, recency tiebreaker) with special protection for pinned and manually-overridden memories. Tag merging combines comma-separated strings, and all changes are soft-deletes with full audit trails."}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 6fae40aa-4dad-4ced-aa13-a3a47e6f3457
memory_id: bd3d29a1-cfa9-4e13-84b6-5c53294fe4e7
job_type: extract
status: completed
leased_at: 2026-02-25T14:45:41.329Z
completed_at: 2026-02-25T14:46:23.285Z
created_at: 2026-02-25T13:12:40.679Z
updated_at: 2026-02-25T14:46:23.285Z
result:
  {"facts":[{"content":"PipelineRepairConfig now includes four new configuration fields: cooldown, hourly budget, semantic threshold (value: 0.92), and batch size (value: 100)","type":"decision","confidence":0.95},{"content":"The Diagnostics module includes a new DuplicateHealth metric that tracks excess duplicates and duplicate ratio in the memory system","type":"fact","confidence":0.95},{"content":"DuplicateHealth metric is integrated into the composite health score with a weight of 0.04","type":"fact","confidence":0.95}],"entities":[{"source":"PipelineRepairConfig","relationship":"contains","target":"cooldown field","confidence":0.95},{"source":"PipelineRepairConfig","relationship":"contains","target":"hourly budget field","confidence":0.95},{"source":"PipelineRepairConfig","relationship":"contains","target":"semantic threshold field (0.92)","confidence":0.95},{"source":"PipelineRepairConfig","relationship":"contains","target":"batch size field (100)","confidence":0.95},{"source":"Diagnostics module","relationship":"includes","target":"DuplicateHealth metric","confidence":0.95},{"source":"DuplicateHealth metric","relationship":"tracks","target":"excess duplicates","confidence":0.95},{"source":"DuplicateHealth metric","relationship":"tracks","target":"duplicate ratio","confidence":0.95},{"source":"DuplicateHealth metric","relationship":"weighted_in","target":"composite health score (0.04 weight)","confidence":0.95}],"proposals":[{"action":"none","confidence":0.95,"reason":"New fact is already captured in candidate [5], which explicitly states: 'Configuration adds four new fields to PipelineRepairConfig (cooldown, hourly budget, semantic threshold 0.92, batch size 100).' The information is identical and fully covered.","fact":{"content":"PipelineRepairConfig now includes four new configuration fields: cooldown, hourly budget, semantic threshold (value: 0.92), and batch size (value: 100)","type":"decision","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate bd3d29a1 already contains this exact information: 'Diagnostics gains a DuplicateHealth metric tracking excess dupes and duplicate ratio, wired into the composite health score at 0.04 weight.' The new fact adds no additional context beyond what's already stored.","fact":{"content":"The Diagnostics module includes a new DuplicateHealth metric that tracks excess duplicates and duplicate ratio in the memory system","type":"fact","confidence":0.95}},{"action":"none","confidence":0.98,"reason":"New fact is already fully covered by candidate [5], which explicitly states 'DuplicateHealth metric tracking excess dupes and duplicate ratio, wired into the composite health score at 0.04 weight.' No new information to add.","fact":{"content":"DuplicateHealth metric is integrated into the composite health score with a weight of 0.04","type":"fact","confidence":0.95}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 33dea46b-442f-4fd2-963b-0016d97df4f5
memory_id: e24fbd92-7970-43f2-8530-da2b0bf70e3d
job_type: extract
status: completed
leased_at: 2026-02-25T14:46:25.289Z
completed_at: 2026-02-25T14:48:15.785Z
created_at: 2026-02-25T13:12:40.705Z
updated_at: 2026-02-25T14:48:15.785Z
result:
  {"facts":[{"content":"The maintenance worker adds dedup recommendations when the duplicate ratio exceeds 5%","type":"procedural","confidence":0.95},{"content":"The GET `/api/repair/dedup-stats` HTTP endpoint exposes deduplication statistics from the daemon's repair API","type":"procedural","confidence":0.95},{"content":"The POST `/api/repair/deduplicate` HTTP endpoint executes deduplication operations in the daemon's repair API","type":"procedural","confidence":0.95},{"content":"All repair operations in the daemon are rate-limited to prevent resource exhaustion","type":"decision","confidence":0.9},{"content":"All repair operations in the daemon are policy-gated for access control enforcement","type":"decision","confidence":0.9},{"content":"All repair operations in the daemon are idempotent and can be safely retried without side effects","type":"decision","confidence":0.9},{"content":"All repair operations in the daemon are transactional per cluster to ensure data consistency","type":"decision","confidence":0.9}],"entities":[{"source":"maintenance worker","relationship":"adds","target":"dedup recommendations","confidence":0.95},{"source":"/api/repair/dedup-stats endpoint","relationship":"exposes","target":"deduplication statistics","confidence":0.95},{"source":"/api/repair/deduplicate endpoint","relationship":"executes","target":"deduplication operations","confidence":0.95},{"source":"repair operations","relationship":"are","target":"rate-limited","confidence":0.9},{"source":"repair operations","relationship":"are","target":"policy-gated","confidence":0.9},{"source":"repair operations","relationship":"are","target":"idempotent","confidence":0.9},{"source":"repair operations","relationship":"are","target":"transactional per cluster","confidence":0.9}],"proposals":[{"action":"none","confidence":0.98,"reason":"New fact is already comprehensively covered by candidate [5], which explicitly states the same maintenance worker dedup behavior and includes additional context about HTTP endpoints and repair operation details.","fact":{"content":"The maintenance worker adds dedup recommendations when the duplicate ratio exceeds 5%","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate [4] already documents 'Two HTTP endpoints expose stats and execution (GET/POST `/api/repair/dedup-stats` and `/api/repair/deduplicate`)'. The new fact about GET `/api/repair/dedup-stats` exposing dedup statistics is already captured in existing memory.","fact":{"content":"The GET `/api/repair/dedup-stats` HTTP endpoint exposes deduplication statistics from the daemon's repair API","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.92,"reason":"Candidate [4] already documents the POST /api/repair/deduplicate endpoint as part of the dedup feature pair (GET /api/repair/dedup-stats and POST /api/repair/deduplicate), noting it executes deduplication operations with rate-limiting and transactional guarantees. New fact adds no novel information.","fact":{"content":"The POST `/api/repair/deduplicate` HTTP endpoint executes deduplication operations in the daemon's repair API","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate [4] already states 'All repair operations are rate-limited' as part of a comprehensive fact about repair operation properties. The new fact is already covered by this existing memory.","fact":{"content":"All repair operations in the daemon are rate-limited to prevent resource exhaustion","type":"decision","confidence":0.9}},{"action":"add","confidence":0.85,"reason":"New fact describes a specific daemon architectural decision (repair operation policy-gating) that complements but is distinct from candidate 2's general mechanism (cryptographic signing). Worth storing separately as operational security guidance for daemon modifications.","fact":{"content":"All repair operations in the daemon are policy-gated for access control enforcement","type":"decision","confidence":0.9}},{"action":"add","confidence":0.85,"reason":"New fact is a general architectural principle about repair operations being idempotent and safely retriable. Candidate [4] is a specific implementation task (orphan cleanup function). These are related but distinct - the principle is broad design knowledge that applies to all repair operations, while the candidate is one specific procedural task. Should be stored separately as architectural context.","fact":{"content":"All repair operations in the daemon are idempotent and can be safely retried without side effects","type":"decision","confidence":0.9}},{"action":"none","confidence":0.95,"reason":"Candidate [5] already contains the exact statement: 'All repair operations are...transactional per cluster.' New fact does not add new information beyond what is already documented.","fact":{"content":"All repair operations in the daemon are transactional per cluster to ensure data consistency","type":"decision","confidence":0.9}}],"writeMode":"phase-c","writeStats":{"added":2,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":2},"warnings":[]}


id: 99f654aa-84ba-4140-b5c9-39ee74862574
memory_id: 746c6baf-7f55-434b-8527-80bf07d781fb
job_type: extract
status: completed
leased_at: 2026-02-25T14:48:17.790Z
completed_at: 2026-02-25T14:48:42.839Z
created_at: 2026-02-25T13:12:40.739Z
updated_at: 2026-02-25T14:48:42.839Z
result:
  {"facts":[{"content":"A dry-run mode allows users to preview the results or effects of an operation before executing it permanently","type":"semantic","confidence":0.95}],"entities":[{"source":"dry-run mode","relationship":"enables","target":"preview before execution","confidence":0.95}],"proposals":[{"action":"update","targetMemoryId":"746c6baf-7f55-434b-8527-80bf07d781fb","confidence":0.92,"reason":"New fact is a more detailed elaboration of existing memory [5]. Both describe dry-run mode allowing preview before execution. Merge into expanded version with additional context about users and permanence.","fact":{"content":"A dry-run mode allows users to preview the results or effects of an operation before executing it permanently","type":"semantic","confidence":0.95},"targetContent":"A dry-run mode allows preview before execution."}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 7310fcc6-c696-40d6-b838-12380a33a3c0
memory_id: e793a6e1-4833-4d62-88a3-fbb9336ffa13
job_type: extract
status: completed
leased_at: 2026-02-25T14:48:44.852Z
completed_at: 2026-02-25T14:49:19.675Z
created_at: 2026-02-25T13:16:26.163Z
updated_at: 2026-02-25T14:49:19.675Z
result:
  {"facts":[{"content":"Nicholai tasked Claude to identify and fix bugs in the signetai codebase during a bug hunt session","type":"procedural","confidence":0.95},{"content":"The bug hunt prioritizes issues that break core functionality over other improvements or technical debt","type":"decision","confidence":0.9}],"entities":[{"source":"Nicholai","relationship":"tasked","target":"Claude","confidence":0.95},{"source":"Claude","relationship":"assigned to fix bugs in","target":"signetai codebase","confidence":0.95},{"source":"bug hunt","relationship":"prioritizes","target":"functionality-breaking issues","confidence":0.9}],"proposals":[{"action":"none","confidence":0.95,"reason":"Candidate #3 (ID: e793a6e1) already captures the core fact: 'Nicholai tasked Claude to find and fix bugs in the signetai codebase during a bug hunt session.' The new fact is procedurally identical to existing memory.","fact":{"content":"Nicholai tasked Claude to identify and fix bugs in the signetai codebase during a bug hunt session","type":"procedural","confidence":0.95}},{"action":"update","targetMemoryId":"e793a6e1-4833-4d62-88a3-fbb9336ffa13","confidence":0.9,"reason":"New fact clarifies the prioritization strategy for the ongoing bug hunt session. Merge to provide complete context: bug hunt prioritizes issues breaking core functionality over improvements/technical debt.","fact":{"content":"The bug hunt prioritizes issues that break core functionality over other improvements or technical debt","type":"decision","confidence":0.9},"targetContent":"## Bug Hunt Session Initiated Nicholai tasked Claude to find and fix bugs in the signetai codebase, prioritizing issues that break functionality."}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 5b8b70cb-3230-41c4-a307-0fccbe8b609c
memory_id: 4bc92009-95a9-4a31-88da-5e87b6d4d0d9
job_type: extract
status: completed
leased_at: 2026-02-25T14:49:21.675Z
completed_at: 2026-02-25T14:50:18.615Z
created_at: 2026-02-25T13:16:26.187Z
updated_at: 2026-02-25T14:50:18.615Z
result:
  {"facts":[{"content":"The LlmProvider interface is defined in `packages/core/src/types.ts`","type":"fact","confidence":0.95},{"content":"Pipeline configuration types are located in `packages/core/src/types.ts`","type":"fact","confidence":0.95},{"content":"An initial exploration began by examining the core types system, specifically the LlmProvider interface and pipeline configuration types in `packages/core/src/types.ts`","type":"procedural","confidence":0.9},{"content":"Plan mode was used at the start of the session to scope the investigation before proceeding with implementation work","type":"procedural","confidence":0.9}],"entities":[{"source":"LlmProvider interface","relationship":"located in","target":"packages/core/src/types.ts","confidence":0.95},{"source":"Pipeline configuration types","relationship":"located in","target":"packages/core/src/types.ts","confidence":0.95},{"source":"Session","relationship":"used","target":"plan mode","confidence":0.9},{"source":"Plan mode","relationship":"purpose is","target":"scoping investigation before implementation","confidence":0.85},{"source":"Investigation","relationship":"examined","target":"core types system","confidence":0.9}],"proposals":[{"action":"update","targetMemoryId":"fdb54c7a-8b80-4b90-badf-c6a96347e524","confidence":0.92,"reason":"New fact expands existing memory about types.ts. Merge to: `types.ts` — McpServerConfig, McpClientManager, LlmProvider interfaces","fact":{"content":"The LlmProvider interface is defined in `packages/core/src/types.ts`","type":"fact","confidence":0.95},"targetContent":"`types.ts` — McpServerConfig, McpClientManager interface"},{"action":"none","confidence":0.95,"reason":"Candidate [5] already explicitly documents 'pipeline configuration types in `packages/core/src/types.ts`' as part of the core types exploration. The new fact is redundant with existing memory coverage.","fact":{"content":"Pipeline configuration types are located in `packages/core/src/types.ts`","type":"fact","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate [4] already captures this exact fact: initial exploration of LlmProvider interface and pipeline config types in types.ts, with additional context about plan mode. New fact is redundant.","fact":{"content":"An initial exploration began by examining the core types system, specifically the LlmProvider interface and pipeline configuration types in `packages/core/src/types.ts`","type":"procedural","confidence":0.9}},{"action":"update","targetMemoryId":"aa8df859-e2df-4925-8b1d-560fa2582594","confidence":0.85,"reason":"New fact generalizes the existing procedural pattern. Current memory is specific to disk cleanup; new fact establishes that plan mode is a general practice for scoping investigations before implementation across different domains.","fact":{"content":"Plan mode was used at the start of the session to scope the investigation before proceeding with implementation work","type":"procedural","confidence":0.9},"targetContent":"Plan mode was chosen for the disk cleanup session because it prevents execution of destructive operations, allowing diagnostic exploration to proceed safely before remediation is proposed"}],"writeMode":"phase-c","writeStats":{"added":0,"updated":2,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 8409b798-f312-4c34-9248-e2076ffa125f
memory_id: a3e9543a-a87d-4b12-ae27-9cc683be8d4e
job_type: extract
status: completed
leased_at: 2026-02-25T14:50:32.365Z
completed_at: 2026-02-25T14:51:31.459Z
created_at: 2026-02-25T13:41:04.845Z
updated_at: 2026-02-25T14:51:31.459Z
result:
  {"facts":[{"content":"Agents running on OpenClaw/ClawdBot experience context overflow issues","type":"fact","confidence":0.9},{"content":"Nicholai initiated an investigation into context overflow issues affecting OpenClaw/ClawdBot agents","type":"decision","confidence":0.85},{"content":"The investigation focused on tracing how context is assembled and delivered to agents through the Signet daemon","type":"procedural","confidence":0.85},{"content":"The Signet daemon is responsible for assembling and delivering context to agents in the OpenClaw/ClawdBot environment","type":"semantic","confidence":0.8}],"entities":[{"source":"Nicholai","relationship":"initiated","target":"investigation into context overflow issues","confidence":0.9},{"source":"agents on OpenClaw/ClawdBot","relationship":"experience","target":"context overflow issues","confidence":0.9},{"source":"Signet daemon","relationship":"manages","target":"context assembly and delivery to agents","confidence":0.8},{"source":"investigation","relationship":"targets","target":"Signet daemon context delivery mechanism","confidence":0.8}],"proposals":[{"action":"none","confidence":0.95,"reason":"Candidate [4] (a3e9543a-a87d-4b12-ae27-9cc683be8d4e) already captures this fact — it documents the OpenClaw context overflow investigation and traces how context is assembled through the Signet daemon. The new fact is a summary statement of what's already explicitly covered.","fact":{"content":"Agents running on OpenClaw/ClawdBot experience context overflow issues","type":"fact","confidence":0.9}},{"action":"none","confidence":0.95,"reason":"New fact is already captured in candidate [4] (ID: a3e9543a-a87d-4b12-ae27-9cc683be8d4e), which explicitly documents Nicholai's investigation into OpenClaw/ClawdBot context overflow issues with details about tracing context flow through the daemon.","fact":{"content":"Nicholai initiated an investigation into context overflow issues affecting OpenClaw/ClawdBot agents","type":"decision","confidence":0.85}},{"action":"none","confidence":0.85,"reason":"New fact is a high-level summary of the investigation focus. Candidates [2] and [3] already comprehensively cover the investigation scope (three code paths) and investigation areas (memory injection, size limits, session hooks, unbounded sources), which together fully describe what 'tracing context assembly through the daemon' entails. No new information is added.","fact":{"content":"The investigation focused on tracing how context is assembled and delivered to agents through the Signet daemon","type":"procedural","confidence":0.85}},{"action":"add","confidence":0.85,"reason":"New fact captures a specific architectural discovery about the daemon's context assembly/delivery role. While related to the existing investigation issue [a3e9543a], this is a distinct architectural pattern that should be indexed separately for future semantic discovery.","fact":{"content":"The Signet daemon is responsible for assembling and delivering context to agents in the OpenClaw/ClawdBot environment","type":"semantic","confidence":0.8}}],"writeMode":"phase-c","writeStats":{"added":1,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":1},"warnings":[]}


id: 00e6aefb-0fd9-467f-bddf-36a857483b12
memory_id: 88a1d274-2a8f-43d5-b817-d259fef86252
job_type: extract
status: completed
leased_at: 2026-02-25T14:51:33.461Z
completed_at: 2026-02-25T14:52:26.427Z
created_at: 2026-02-25T13:41:04.876Z
updated_at: 2026-02-25T14:52:26.427Z
result:
  {"facts":[{"content":"The OpenClaw Adapter is located at packages/adapters/openclaw/src/ and is a runtime plugin responsible for handling agent execution","type":"procedural","confidence":0.95},{"content":"The OpenClaw Connector is located at packages/connector-openclaw/src/ and is an install-time connector that integrates with OpenClaw config","type":"procedural","confidence":0.95},{"content":"Daemon Hook Handlers are located at packages/daemon/src/ and consist of session start and synthesis hooks that assemble context payloads","type":"procedural","confidence":0.95},{"content":"Three primary code paths were identified for architectural investigation: OpenClaw Adapter (runtime), OpenClaw Connector (install-time), and Daemon Hook Handlers (session/synthesis hooks)","type":"semantic","confidence":0.92}],"entities":[{"source":"OpenClaw Adapter","relationship":"is_located_at","target":"packages/adapters/openclaw/src/","confidence":0.95},{"source":"OpenClaw Adapter","relationship":"is_a","target":"runtime plugin","confidence":0.95},{"source":"OpenClaw Adapter","relationship":"handles","target":"agent execution","confidence":0.95},{"source":"OpenClaw Connector","relationship":"is_located_at","target":"packages/connector-openclaw/src/","confidence":0.95},{"source":"OpenClaw Connector","relationship":"is_a","target":"install-time connector","confidence":0.95},{"source":"OpenClaw Connector","relationship":"integrates_with","target":"OpenClaw config","confidence":0.95},{"source":"Daemon Hook Handlers","relationship":"is_located_at","target":"packages/daemon/src/","confidence":0.95},{"source":"Daemon Hook Handlers","relationship":"assemble","target":"context payloads","confidence":0.95},{"source":"Daemon Hook Handlers","relationship":"handles","target":"session start and synthesis hooks","confidence":0.95}],"proposals":[{"action":"none","confidence":0.95,"reason":"Candidate [4] already captures this exact information: 'OpenClaw Adapter (packages/adapters/openclaw/src/) — Runtime plugin that handles agent execution'. New fact is redundant with existing comprehensive investigation scope memory.","fact":{"content":"The OpenClaw Adapter is located at packages/adapters/openclaw/src/ and is a runtime plugin responsible for handling agent execution","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.98,"reason":"Candidate [5] already captures this exact information: 'OpenClaw Connector (`packages/connector-openclaw/src/`) — Install-time connector that integrates with OpenClaw config'. New fact is redundant with existing memory.","fact":{"content":"The OpenClaw Connector is located at packages/connector-openclaw/src/ and is an install-time connector that integrates with OpenClaw config","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.98,"reason":"Candidate [5] already captures this exact information: Daemon Hook Handlers at packages/daemon/src/ with session start and synthesis hooks that assemble context payloads. New fact is redundant.","fact":{"content":"Daemon Hook Handlers are located at packages/daemon/src/ and consist of session start and synthesis hooks that assemble context payloads","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate [4] already captures the identical information with greater specificity (directory paths and functional descriptions). New fact is redundant and adds no new semantic content.","fact":{"content":"Three primary code paths were identified for architectural investigation: OpenClaw Adapter (runtime), OpenClaw Connector (install-time), and Daemon Hook Handlers (session/synthesis hooks)","type":"semantic","confidence":0.92}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: ef819fff-5844-4b1b-ae82-10417561dc12
memory_id: d59315a1-2535-4fe3-9562-f8fa5253019a
job_type: extract
status: completed
leased_at: 2026-02-25T14:52:28.428Z
completed_at: 2026-02-25T14:53:48.603Z
created_at: 2026-02-25T13:41:04.906Z
updated_at: 2026-02-25T14:53:48.603Z
result:
  {"facts":[{"content":"An investigation examined memory injection into agent context, specifically investigating what data gets injected and how that data is formatted","type":"procedural","confidence":0.95},{"content":"An investigation examined size limits and truncation logic in the system","type":"procedural","confidence":0.95},{"content":"An investigation examined session start hook response payloads as a potential source of context issues","type":"procedural","confidence":0.9},{"content":"Unbounded data sources that could grow without limit were identified during investigation as a system concern","type":"semantic","confidence":0.9}],"entities":[{"source":"investigation","relationship":"examined","target":"memory injection into agent context","confidence":0.95},{"source":"investigation","relationship":"examined","target":"size limits and truncation logic","confidence":0.95},{"source":"investigation","relationship":"examined","target":"session start hook response payloads","confidence":0.9},{"source":"investigation","relationship":"identified as risk","target":"unbounded data sources","confidence":0.9}],"proposals":[{"action":"none","confidence":0.95,"reason":"The new fact is already covered by existing candidate [1], which explicitly documents 'Memory injection into agent context (what data, how formatted)' and includes additional investigation areas (size limits, truncation, hooks, unbounded sources). No new information to capture.","fact":{"content":"An investigation examined memory injection into agent context, specifically investigating what data gets injected and how that data is formatted","type":"procedural","confidence":0.95}},{"action":"update","targetMemoryId":"5d4a1f17-2da1-4c34-80a4-3530b67e0aed","confidence":0.85,"reason":"New fact indicates that the 'Next Steps' item [5] has been completed—the investigation examining size limits and truncation logic has been performed. Findings are detailed in candidates [2] and [3]. Update [5] to reflect completion rather than storing redundant summary.","fact":{"content":"An investigation examined size limits and truncation logic in the system","type":"procedural","confidence":0.95},"targetContent":"## Next Steps Complete the context assembly trace, identify unbounded data sources, and propose size limits or truncation strategies for memory injection."},{"action":"update","targetMemoryId":"ed03876d-899a-42e2-9144-c06854dbf027","confidence":0.85,"reason":"New fact refines the investigation focus described in candidate [4]. Both discuss tracing hook-to-response data flow; new fact specifies that session start hook response payloads were identified as the suspected source of context issues. Merge to create a more precise record of what was being investigated.","fact":{"content":"An investigation examined session start hook response payloads as a potential source of context issues","type":"procedural","confidence":0.9},"targetContent":"## Initial Findings An Explore agent was spawned to trace the full data flow from hook request to response payload. The session was interrupted before conclusions were reached."},{"action":"none","confidence":0.95,"reason":"Candidate [4] already captures this exact concern as part of the investigation areas list: 'Unbounded data sources that could grow without limit' is explicitly mentioned in that memory's investigation targets.","fact":{"content":"Unbounded data sources that could grow without limit were identified during investigation as a system concern","type":"semantic","confidence":0.9}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":2,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 23ee252f-538c-4660-b71a-7fafafba0043
memory_id: ed03876d-899a-42e2-9144-c06854dbf027
job_type: extract
status: completed
leased_at: 2026-02-25T14:53:50.605Z
completed_at: 2026-02-25T14:54:18.824Z
created_at: 2026-02-25T13:41:04.938Z
updated_at: 2026-02-25T14:54:18.824Z
result:
  {"facts":[{"content":"Session start hook response payloads were examined in an investigation to determine if they were a potential source of context issues in the Signet daemon","type":"fact","confidence":0.95}],"entities":[{"source":"investigation","relationship":"examined","target":"session start hook response payloads","confidence":0.95},{"source":"session start hook response payloads","relationship":"identified as potential source of","target":"context issues","confidence":0.75}],"proposals":[{"action":"none","confidence":0.95,"reason":"Candidate [4] already captures this fact: 'An investigation examined session start hook response payloads as a potential source of context issues'. The new fact is a restatement of existing memory.","fact":{"content":"Session start hook response payloads were examined in an investigation to determine if they were a potential source of context issues in the Signet daemon","type":"fact","confidence":0.95}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: fee6125a-3d14-45b2-8341-10a210f35f49
memory_id: 3b256c85-c388-460e-b842-af2d494a64d9
job_type: extract
status: completed
leased_at: 2026-02-25T14:54:44.229Z
completed_at: 2026-02-25T14:55:39.997Z
created_at: 2026-02-25T14:21:20.987Z
updated_at: 2026-02-25T14:55:39.997Z
result:
  {"facts":[{"content":"Svelte 5 prop names must not conflict with rune names or a compilation error occurs","type":"procedural","confidence":0.9},{"content":"Naming a component prop 'state' in Svelte 5 causes a store_rune_conflict error because 'state' is a reserved rune name","type":"fact","confidence":0.95},{"content":"The recommended solution for rune naming conflicts in Svelte 5 is to rename conflicting props to alternative names such as 'nodeState'","type":"procedural","confidence":0.9}],"entities":[{"source":"Svelte 5","relationship":"enforces constraints on","target":"prop naming conventions","confidence":0.9},{"source":"prop named 'state'","relationship":"causes error","target":"store_rune_conflict","confidence":0.95},{"source":"conflicting props","relationship":"should be renamed to","target":"alternative names like nodeState","confidence":0.9}],"proposals":[{"action":"none","confidence":0.95,"reason":"Candidate [3] already comprehensively covers this rule with a specific example (prop 'state' causing store_rune_conflict) and recommended mitigation. The new fact is a general restatement of what [3] already documents.","fact":{"content":"Svelte 5 prop names must not conflict with rune names or a compilation error occurs","type":"procedural","confidence":0.9}},{"action":"none","confidence":0.98,"reason":"New fact is already comprehensively covered by existing memory 3b256c85 (rule: Svelte 5 prop names must not conflict with rune names, specifically 'state' causes store_rune_conflict, solution: rename to nodeState). Existing memory is more actionable with explicit solution.","fact":{"content":"Naming a component prop 'state' in Svelte 5 causes a store_rune_conflict error because 'state' is a reserved rune name","type":"fact","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate [5] already captures this exact rule: prop names must not conflict with rune names, and the solution is to rename to nodeState or similar. New fact adds no new information beyond what's already documented.","fact":{"content":"The recommended solution for rune naming conflicts in Svelte 5 is to rename conflicting props to alternative names such as 'nodeState'","type":"procedural","confidence":0.9}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: ba7fd9e7-1054-49d2-8d9d-b7940efc6afd
memory_id: 624d7f82-b684-49de-8189-0e758f6bbf97
job_type: extract
status: completed
leased_at: 2026-02-25T14:55:41.999Z
completed_at: 2026-02-25T14:56:49.819Z
created_at: 2026-02-25T14:33:06.571Z
updated_at: 2026-02-25T14:56:49.819Z
result:
  {"facts":[{"content":"Nicholai requested bulk deletion of GitHub issues on the Signetai repository","type":"decision","confidence":0.95},{"content":"The Signetai repository GitHub issue tracker contains 18 total issues","type":"fact","confidence":0.95},{"content":"Of the 18 GitHub issues in the Signetai repository, 2 are closed (issues #1 and #22)","type":"fact","confidence":0.95},{"content":"Of the 18 GitHub issues in the Signetai repository, 16 are open (issues #7-21)","type":"fact","confidence":0.95},{"content":"The assistant queried the Signetai repository's GitHub issue tracker to inventory issues in response to Nicholai's bulk deletion request","type":"procedural","confidence":0.95}],"entities":[{"source":"Nicholai","relationship":"requested","target":"bulk deletion of GitHub issues on Signetai repository","confidence":0.95},{"source":"Signetai repository","relationship":"contains","target":"18 GitHub issues","confidence":0.95},{"source":"GitHub issues #1 and #22","relationship":"have status","target":"closed","confidence":0.95},{"source":"GitHub issues #7-21","relationship":"have status","target":"open","confidence":0.95},{"source":"assistant","relationship":"queried","target":"Signetai repository GitHub issue tracker","confidence":0.95}],"proposals":[{"action":"none","confidence":0.98,"reason":"Existing candidate [3] (ID: bc9f88eb...) already captures this exact decision with identical content. No new information is added by the new fact. Candidate [4] and [5] provide additional context about the clarification steps that followed.","fact":{"content":"Nicholai requested bulk deletion of GitHub issues on the Signetai repository","type":"decision","confidence":0.95}},{"action":"none","confidence":0.92,"reason":"Candidate 624d7f82 already documents this fact with greater detail: '18 total issues: 2 closed (issues #1 and #22) and 16 open (issues #7-21)'. The new fact is a subset of existing memory content.","fact":{"content":"The Signetai repository GitHub issue tracker contains 18 total issues","type":"fact","confidence":0.95}},{"action":"none","confidence":1,"reason":"Candidate #5 (GitHub Issue Inventory) already contains this exact information: 18 total issues with 2 closed (#1, #22) and 16 open","fact":{"content":"Of the 18 GitHub issues in the Signetai repository, 2 are closed (issues #1 and #22)","type":"fact","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Existing memory (ID: 624d7f82-b684-49de-8189-0e758f6bbf97) already contains this exact information with greater detail: 18 total issues, 16 open (issues #7-21), 2 closed (issues #1 and #22). New fact adds no additional value.","fact":{"content":"Of the 18 GitHub issues in the Signetai repository, 16 are open (issues #7-21)","type":"fact","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate [5] already documents this procedural step in full, including both the query action and its results (18 total issues: 2 closed, 16 open). No new information to capture.","fact":{"content":"The assistant queried the Signetai repository's GitHub issue tracker to inventory issues in response to Nicholai's bulk deletion request","type":"procedural","confidence":0.95}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 937f81d8-cd0a-4b94-9629-994ce3c1cecf
memory_id: af3f55df-fd04-444b-982e-3151676e9f63
job_type: extract
status: completed
leased_at: 2026-02-25T14:56:51.823Z
completed_at: 2026-02-25T14:58:11.824Z
created_at: 2026-02-25T14:33:06.785Z
updated_at: 2026-02-25T14:58:11.824Z
result:
  {"facts":[{"content":"The db-accessor pattern in packages/daemon/src/daemon.ts uses getDbAccessor() to create accessor instances with typed read/write methods","type":"procedural","confidence":0.85},{"content":"db-accessor instances expose withReadDb() method for read-only database operations","type":"procedural","confidence":0.85},{"content":"db-accessor instances expose withWriteDb() method for write database operations","type":"procedural","confidence":0.85},{"content":"packages/daemon/src/daemon.ts uses blob-to-vector conversion utilities for embedding data handling","type":"fact","confidence":0.8},{"content":"A new endpoint is planned to be implemented in packages/daemon/src/daemon.ts immediately after the /api/embeddings/status endpoint","type":"decision","confidence":0.85}],"entities":[{"source":"db-accessor pattern","relationship":"uses","target":"getDbAccessor()","confidence":0.85},{"source":"db-accessor","relationship":"has method","target":"withReadDb()","confidence":0.85},{"source":"db-accessor","relationship":"has method","target":"withWriteDb()","confidence":0.85},{"source":"daemon.ts","relationship":"uses","target":"blob-to-vector conversions","confidence":0.8},{"source":"new endpoint","relationship":"follows","target":"/api/embeddings/status","confidence":0.85}],"proposals":[{"action":"none","confidence":0.9,"reason":"Candidate [4] already captures this procedural knowledge: 'New endpoint implementations in the daemon should follow the db-accessor pattern using getDbAccessor().withReadDb() and withWriteDb() methods'. The new fact restates the same pattern without adding detail beyond what's already documented.","fact":{"content":"The db-accessor pattern in packages/daemon/src/daemon.ts uses getDbAccessor() to create accessor instances with typed read/write methods","type":"procedural","confidence":0.85}},{"action":"none","confidence":0.9,"reason":"Candidate [2] already encodes this procedural knowledge - it explicitly states to use getDbAccessor().withReadDb() for database operations. The new fact is a direct restatement of what's already documented.","fact":{"content":"db-accessor instances expose withReadDb() method for read-only database operations","type":"procedural","confidence":0.85}},{"action":"update","targetMemoryId":"dc613154-8fe4-4c98-874a-61358ec639ef","confidence":0.8,"reason":"The new fact clarifies the db-accessor API surface (withWriteDb() method). Candidate [3] already mentions this method in procedural context but doesn't explicitly state it as an exposed API. Merging makes the memory more complete: 'db-accessor instances expose withReadDb() and withWriteDb() methods. New endpoint implementations should follow this pattern.'","fact":{"content":"db-accessor instances expose withWriteDb() method for write database operations","type":"procedural","confidence":0.85},"targetContent":"New endpoint implementations in the daemon should follow the db-accessor pattern using getDbAccessor().withReadDb() and withWriteDb() methods"},{"action":"none","confidence":0.95,"reason":"Candidate [1] already captures this fact with identical scope and content: 'Blob-to-vector conversions are implemented in packages/daemon/src/daemon.ts for embedding operations'. No new information to merge or update.","fact":{"content":"packages/daemon/src/daemon.ts uses blob-to-vector conversion utilities for embedding data handling","type":"fact","confidence":0.8}},{"action":"none","confidence":0.85,"reason":"Candidates [4] and [5] already document the planned embedding health check feature with explicit mention of implementation location immediately after /api/embeddings/status in daemon.ts. New fact restates existing plan without adding detail.","fact":{"content":"A new endpoint is planned to be implemented in packages/daemon/src/daemon.ts immediately after the /api/embeddings/status endpoint","type":"decision","confidence":0.85}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: cbf855db-4c3f-4998-b61d-7a11eec55da2
memory_id: 84a27117-44e7-4d7d-906c-ad02908412f2
job_type: extract
status: completed
leased_at: 2026-02-25T14:58:13.828Z
completed_at: 2026-02-25T14:58:59.565Z
created_at: 2026-02-25T14:33:06.838Z
updated_at: 2026-02-25T14:58:59.565Z
result:
  {"facts":[{"content":"The PDF parser currently uses `as any` type assertions for the pdf-parse v2 API and should be refactored to define proper TypeScript interfaces instead","type":"decision","confidence":0.9},{"content":"The slack-parser.ts file contains non-null assertion operators (`!`) that should be replaced with explicit null/undefined guards for better type safety","type":"decision","confidence":0.9},{"content":"Silent memory insert failures currently have no logging and should have warn-level error logging added for improved observability and debugging","type":"decision","confidence":0.9}],"entities":[{"source":"PDF parser","relationship":"currently uses","target":"`as any` type assertions","confidence":0.9},{"source":"PDF parser","relationship":"should define","target":"interfaces for pdf-parse v2 API","confidence":0.9},{"source":"slack-parser.ts","relationship":"contains","target":"non-null assertion operators","confidence":0.9},{"source":"slack-parser.ts","relationship":"should replace with","target":"explicit null/undefined guards","confidence":0.9},{"source":"memory insert failures","relationship":"currently lack","target":"error logging","confidence":0.9},{"source":"memory insert failures","relationship":"should have","target":"warn-level error logging","confidence":0.9}],"proposals":[{"action":"none","confidence":0.95,"reason":"Candidate [1] already captures this exact decision: removing `as any` assertions and replacing with proper TypeScript interfaces for pdf-parse v2 API. The new fact adds no new information beyond what's already tracked.","fact":{"content":"The PDF parser currently uses `as any` type assertions for the pdf-parse v2 API and should be refactored to define proper TypeScript interfaces instead","type":"decision","confidence":0.9}},{"action":"none","confidence":0.95,"reason":"Candidate [5] already explicitly documents this item: 'Non-null assertions: Replace `!` with explicit guards in slack-parser.ts'. The new fact is already covered by existing memory.","fact":{"content":"The slack-parser.ts file contains non-null assertion operators (`!`) that should be replaced with explicit null/undefined guards for better type safety","type":"decision","confidence":0.9}},{"action":"none","targetMemoryId":"1094dfbb-43e4-49ee-9bdd-25590fd4b66b","confidence":1,"reason":"Exact match already exists in memory. Candidate 5 contains the identical decision/fact about silent memory insert failures needing warn-level error logging.","fact":{"content":"Silent memory insert failures currently have no logging and should have warn-level error logging added for improved observability and debugging","type":"decision","confidence":0.9},"targetContent":"Silent memory insert failures currently have no logging and should have warn-level error logging added for improved observability and debugging"}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: c05ebfa8-4ccf-40c2-b85f-efc9d839de35
memory_id: 0f98f026-5080-4512-82f1-4a4d7231277a
job_type: extract
status: completed
leased_at: 2026-02-25T14:59:01.580Z
completed_at: 2026-02-25T14:59:57.818Z
created_at: 2026-02-25T14:33:06.885Z
updated_at: 2026-02-25T14:59:57.818Z
result:
  {"facts":[{"content":"Compass codebase analysis scope includes: schema coupling between core and construction-specific tables, server actions separation patterns, component organization structure, library modules, agent tools categorization, route structure, and environment configuration","type":"procedural","confidence":0.9},{"content":"Codebase structure analysis is a prerequisite step before Compass refactoring strategy can be planned","type":"decision","confidence":0.9},{"content":"An exploration agent has been queued to analyze Compass codebase structure","type":"procedural","confidence":0.95}],"entities":[{"source":"exploration agent","relationship":"queued to analyze","target":"Compass codebase structure","confidence":0.95},{"source":"codebase structure analysis","relationship":"precedes","target":"Compass refactoring strategy planning","confidence":0.9},{"source":"Compass codebase","relationship":"requires mapping of","target":"schema coupling (core vs construction-specific tables)","confidence":0.9}],"proposals":[{"action":"none","confidence":0.95,"reason":"Candidate #4 (0f98f026-5080-4512-82f1-4a4d7231277a) already captures this exact Compass codebase analysis scope: schema coupling, server actions, components, libraries, agent tools, route structure, and environment configuration. New fact restates already-documented exploration scope.","fact":{"content":"Compass codebase analysis scope includes: schema coupling between core and construction-specific tables, server actions separation patterns, component organization structure, library modules, agent tools categorization, route structure, and environment configuration","type":"procedural","confidence":0.9}},{"action":"update","targetMemoryId":"0f98f026-5080-4512-82f1-4a4d7231277a","confidence":0.88,"reason":"New fact directly reinforces existing memory about Compass codebase structure analysis. Candidate [5] already documents the codebase exploration initiative for Compass refactoring planning; new fact clarifies the prerequisite relationship explicitly. Merging would strengthen the clarity that structure analysis must complete before strategy planning.","fact":{"content":"Codebase structure analysis is a prerequisite step before Compass refactoring strategy can be planned","type":"decision","confidence":0.9},"targetContent":"Assistant began comprehensive codebase exploration to map: - Schema coupling (core vs construction-specific tables) - Server actions separation - Component organization - Library modules - Agent tools categorization - Route structure - Environment configuration Exploration agent was queued to analyze the Compass codebase structure before planning the refactoring strategy."},{"action":"none","confidence":0.92,"reason":"Candidate [5] already captures this exact procedural fact: 'Exploration agent was queued to analyze the Compass codebase structure before planning the refactoring strategy.' The new fact is redundant and already covered.","fact":{"content":"An exploration agent has been queued to analyze Compass codebase structure","type":"procedural","confidence":0.95}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: c45c11bf-461f-4396-9286-b5455b50cfb0
memory_id: e934c5c9-488e-45d5-9cc0-2b14fb3b6a59
job_type: extract
status: completed
leased_at: 2026-02-25T14:59:59.819Z
completed_at: 2026-02-25T15:00:34.755Z
created_at: 2026-02-25T14:33:06.922Z
updated_at: 2026-02-25T15:00:34.755Z
result:
  {"facts":[{"content":"A session was interrupted while in the diagnostic phase, before root cause analysis could be completed","type":"fact","confidence":0.95},{"content":"Remediation steps were not completed due to session interruption during the diagnostic phase","type":"fact","confidence":0.95}],"entities":[{"source":"session","relationship":"interrupted","target":"diagnostic phase","confidence":0.95},{"source":"diagnostic phase","relationship":"precedes","target":"root cause analysis","confidence":0.9},{"source":"diagnostic phase","relationship":"precedes","target":"remediation steps","confidence":0.9}],"proposals":[{"action":"none","confidence":0.98,"reason":"Candidate [5] (e934c5c9-488e-45d5-9cc0-2b14fb3b6a59) already covers this fact exactly: 'The session was interrupted during the diagnostic phase before root cause analysis or remediation steps were completed.' The new fact is redundant and adds no new information.","fact":{"content":"A session was interrupted while in the diagnostic phase, before root cause analysis could be completed","type":"fact","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate [5] already captures this fact: 'The session was interrupted during the diagnostic phase before root cause analysis or remediation steps were completed.' The new fact is semantically equivalent and doesn't add new information.","fact":{"content":"Remediation steps were not completed due to session interruption during the diagnostic phase","type":"fact","confidence":0.95}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: fd1c7900-ec35-4a81-9e8d-7aa0fe7f9d38
memory_id: e5f3cbed-79c5-418c-891c-f6df3065bb2d
job_type: extract
status: completed
leased_at: 2026-02-25T15:00:36.756Z
completed_at: 2026-02-25T15:01:26.367Z
created_at: 2026-02-25T14:33:06.963Z
updated_at: 2026-02-25T15:01:26.367Z
result:
  {"facts":[{"content":"The @ODDCORP/ directory contains an SVGs/ subdirectory for vector graphics assets","type":"fact","confidence":0.95},{"content":"The @ODDCORP/ directory contains a font/ subdirectory for typography assets","type":"fact","confidence":0.95},{"content":"The @ODDCORP/ directory contains WEBSITE_assets.docx, an 8.8KB design document","type":"fact","confidence":0.95},{"content":"The @ODDCORE Press Kit/ directory contains extensive game marketing materials totaling 27MB","type":"fact","confidence":0.9}],"entities":[{"source":"@ODDCORP/ directory","relationship":"contains","target":"SVGs/ subdirectory","confidence":0.95},{"source":"@ODDCORP/ directory","relationship":"contains","target":"font/ subdirectory","confidence":0.95},{"source":"@ODDCORP/ directory","relationship":"contains","target":"WEBSITE_assets.docx","confidence":0.95},{"source":"@ODDCORE Press Kit/ directory","relationship":"contains","target":"game marketing materials","confidence":0.9}],"proposals":[{"action":"none","confidence":0.95,"reason":"Existing memory (ID: e5f3cbed-79c5-418c-891c-f6df3065bb2d) already documents that @ODDCORP/ contains SVGs/ subdirectory for vector graphics. New fact adds no novel information.","fact":{"content":"The @ODDCORP/ directory contains an SVGs/ subdirectory for vector graphics assets","type":"fact","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate [5] already explicitly documents that @ODDCORP/ contains a 'font/ subdirectory (typography assets)'. New fact is redundant and fully covered by existing memory.","fact":{"content":"The @ODDCORP/ directory contains a font/ subdirectory for typography assets","type":"fact","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate [5] already documents that @ODDCORP/ directory contains 'WEBSITE_assets.docx (8.8K design document)' as part of the comprehensive directory inventory. New fact is redundant.","fact":{"content":"The @ODDCORP/ directory contains WEBSITE_assets.docx, an 8.8KB design document","type":"fact","confidence":0.95}},{"action":"none","targetMemoryId":"947ff649-7f84-44fa-9444-9201125430b8","confidence":0.98,"reason":"Exact match already exists in memory. Candidate [4] contains the identical fact about the @ODDCORE Press Kit/ directory with 27MB of marketing materials.","fact":{"content":"The @ODDCORE Press Kit/ directory contains extensive game marketing materials totaling 27MB","type":"fact","confidence":0.9},"targetContent":"@ODDCORE Press Kit/ directory contains extensive game marketing materials totaling 27MB"}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: f8236aa0-17d6-4fc0-8512-4c22b92c4654
memory_id: 5159c258-c718-47f2-ae22-eff0788f01ed
job_type: extract
status: completed
leased_at: 2026-02-25T15:01:28.369Z
completed_at: 2026-02-25T15:02:20.488Z
created_at: 2026-02-25T14:33:06.995Z
updated_at: 2026-02-25T15:02:20.488Z
result:
  {"facts":[{"content":"Beta testers of OpenClaw agents were manually embedding entire files (ranging from 10K to 100K+ characters) as single memory entries","type":"fact","confidence":0.9},{"content":"Embedding large files as individual memory entries caused database bloating in the memory system","type":"fact","confidence":0.85},{"content":"Embedding large files as single memory entries caused context window exhaustion problems during memory recall operations","type":"fact","confidence":0.85}],"entities":[{"source":"beta testers' OpenClaw agents","relationship":"were manually embedding","target":"entire files as single memory entries","confidence":0.9},{"source":"large single-file memory entries","relationship":"caused","target":"database bloating","confidence":0.85},{"source":"large single-file memory entries","relationship":"caused","target":"context window exhaustion on recall","confidence":0.85}],"proposals":[{"action":"none","confidence":0.95,"reason":"Candidate 5 (ID: 5159c258-c718-47f2-ae22-eff0788f01ed) already captures this exact fact with minimal variance in wording. Both describe the same behavior pattern: beta testers embedding 10K-100K+ character files as single memory entries.","fact":{"content":"Beta testers of OpenClaw agents were manually embedding entire files (ranging from 10K to 100K+ characters) as single memory entries","type":"fact","confidence":0.9}},{"action":"none","confidence":0.92,"reason":"Candidate [3] already captures this fact with greater specificity. It documents both the behavior (manually embedding entire large files as single memories) and the consequences (database bloating and context window destruction). The new fact is a generalized restatement of information already present in the existing memory.","fact":{"content":"Embedding large files as individual memory entries caused database bloating in the memory system","type":"fact","confidence":0.85}},{"action":"none","confidence":0.9,"reason":"Candidate [5] already captures this exact problem with good specificity: 'demolishing context windows on recall' directly matches the context window exhaustion described in the new fact. The new fact is a less specific restatement of what's already well-documented in [5].","fact":{"content":"Embedding large files as single memory entries caused context window exhaustion problems during memory recall operations","type":"fact","confidence":0.85}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: ec238a01-138c-4731-846c-9b1f840c5300
memory_id: fc57533d-fa0d-4b89-adfb-16b1195dacac
job_type: extract
status: completed
leased_at: 2026-02-25T15:02:22.489Z
completed_at: 2026-02-25T15:02:57.291Z
created_at: 2026-02-25T14:33:07.035Z
updated_at: 2026-02-25T15:02:57.291Z
result:
  {"facts":[{"content":"A component initializes its visibility state synchronously from sessionStorage by checking for the 'oddcorp-loader-seen' key","type":"procedural","confidence":0.95},{"content":"Synchronous sessionStorage check for 'oddcorp-loader-seen' prevents the overlay from displaying on repeat visits, reducing redundant overlay exposure to returning users","type":"rationale","confidence":0.95}],"entities":[{"source":"visibility state","relationship":"initializes from","target":"sessionStorage","confidence":0.95},{"source":"visibility state initialization","relationship":"checks key","target":"oddcorp-loader-seen","confidence":0.95},{"source":"overlay","relationship":"prevented from showing on","target":"repeat visits","confidence":0.95}],"proposals":[{"action":"none","confidence":0.95,"reason":"Candidate [5] already captures this exact procedural detail: 'It initializes visibility state synchronously from sessionStorage (checking 'oddcorp-loader-seen')'. New fact is a minor restatement with identical core information.","fact":{"content":"A component initializes its visibility state synchronously from sessionStorage by checking for the 'oddcorp-loader-seen' key","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.92,"reason":"New fact is redundant with existing memory ID fc57533d-fa0d-4b89-adfb-16b1195dacac (fact type), which already captures the synchronous sessionStorage initialization with the 'oddcorp-loader-seen' key and its purpose of preventing overlay on repeat visits. The new fact adds only minor elaboration ('reducing redundant overlay exposure') that's implicit in the existing memory.","fact":{"content":"Synchronous sessionStorage check for 'oddcorp-loader-seen' prevents the overlay from displaying on repeat visits, reducing redundant overlay exposure to returning users","type":"rationale","confidence":0.95}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 1103892a-40db-441d-918e-56fffddae40e
memory_id: edf62f2b-8865-47d5-8155-5de7802a45f5
job_type: extract
status: completed
leased_at: 2026-02-25T15:08:24.578Z
completed_at: 2026-02-25T15:10:17.809Z
created_at: 2026-02-25T14:33:07.139Z
updated_at: 2026-02-25T15:10:17.809Z
result:
  {"facts":[{"content":"The OpenClaw adapter uses `api.registerTool()` from OpenClaw's plugin API pattern to register tools with the runtime","type":"fact","confidence":0.95},{"content":"The OpenClaw adapter uses `api.on()` from OpenClaw's plugin API pattern to register lifecycle hooks","type":"fact","confidence":0.95},{"content":"All daemon operations in the OpenClaw adapter route through HTTP to http://localhost:3850, which is a configurable endpoint","type":"fact","confidence":0.95},{"content":"The session tracking system enforces the 'plugin' runtime path for deduplication safety in the OpenClaw adapter","type":"fact","confidence":0.9},{"content":"HTTP requests from the OpenClaw adapter to the daemon have a read timeout of 5000ms","type":"fact","confidence":0.95},{"content":"HTTP requests from the OpenClaw adapter to the daemon have a write timeout of 10000ms","type":"fact","confidence":0.95},{"content":"The investigation into the OpenClaw adapter's available tools is incomplete; a full compiled list of available tools has not yet been created","type":"procedural","confidence":0.9}],"entities":[{"source":"OpenClaw adapter","relationship":"uses","target":"api.registerTool()","confidence":0.95},{"source":"OpenClaw adapter","relationship":"uses","target":"api.on()","confidence":0.95},{"source":"OpenClaw adapter","relationship":"routes operations to","target":"http://localhost:3850","confidence":0.95},{"source":"session tracking","relationship":"enforces","target":"plugin runtime path","confidence":0.9},{"source":"daemon HTTP operations","relationship":"has read timeout","target":"5000ms","confidence":0.95},{"source":"daemon HTTP operations","relationship":"has write timeout","target":"10000ms","confidence":0.95}],"proposals":[{"action":"none","confidence":0.95,"reason":"Existing memory candidate [5] already documents this fact: 'Uses OpenClaw's plugin API pattern: api.registerTool() for tools and api.on() for lifecycle hooks'. The new fact is redundant with this existing, more comprehensive architectural note.","fact":{"content":"The OpenClaw adapter uses `api.registerTool()` from OpenClaw's plugin API pattern to register tools with the runtime","type":"fact","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate 5 (edf62f2b-8865-47d5-8155-5de7802a45f5) already documents that the OpenClaw adapter uses `api.on()` for lifecycle hooks as part of its plugin API pattern. The new fact is a specific instance of information already captured in that architectural summary.","fact":{"content":"The OpenClaw adapter uses `api.on()` from OpenClaw's plugin API pattern to register lifecycle hooks","type":"fact","confidence":0.95}},{"action":"none","confidence":0.92,"reason":"Candidates [3] and [5] already capture this fact: HTTP routing to localhost:3850 (configurable) is documented in existing memories. Candidate [3] is a clean, standalone statement of this exact principle. Candidate [5] includes it in OpenClaw-specific architectural findings. The new fact adds minor specificity about the OpenClaw adapter context, but doesn't materially expand on what's already stored.","fact":{"content":"All daemon operations in the OpenClaw adapter route through HTTP to http://localhost:3850, which is a configurable endpoint","type":"fact","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate [5] already explicitly documents this fact: 'Session tracking enforces \"plugin\" runtime path for dedup safety'. The new fact is a restatement/refinement of information already captured in that memory.","fact":{"content":"The session tracking system enforces the 'plugin' runtime path for deduplication safety in the OpenClaw adapter","type":"fact","confidence":0.9}},{"action":"none","confidence":0.92,"reason":"The 5000ms read timeout for HTTP requests to the daemon is already documented in candidate [4] (general HTTP communication timeouts) and candidate [5] (OpenClaw adapter-specific architectural findings). The new fact is a subset of information already captured in these existing memories.","fact":{"content":"HTTP requests from the OpenClaw adapter to the daemon have a read timeout of 5000ms","type":"fact","confidence":0.95}},{"action":"none","confidence":0.98,"reason":"The write timeout of 10000ms for HTTP requests to the daemon is already documented in candidates [4] and [5]. Candidate [4] explicitly states '10000ms write timeout' and candidate [5] includes identical timeout information in architectural findings. No new information to capture.","fact":{"content":"HTTP requests from the OpenClaw adapter to the daemon have a write timeout of 10000ms","type":"fact","confidence":0.95}},{"action":"update","targetMemoryId":"e4fb1c82-2dd0-4791-9c9c-66b11141afd0","confidence":0.85,"reason":"New fact directly describes the status of the investigation mentioned in candidate [3]. They are about the same OpenClaw adapter tool exploration task. Merging provides continuity: investigation began → remains incomplete, no full list created yet.","fact":{"content":"The investigation into the OpenClaw adapter's available tools is incomplete; a full compiled list of available tools has not yet been created","type":"procedural","confidence":0.9},"targetContent":"## OpenClaw Plugin Tool Exploration Session started with user asking what Signet tools are available to OpenClaw through the plugin runtime. The assistant began investigating the OpenClaw adapter implementation located at `packages/adapters/openclaw/src/` to answer this question."}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 144b8548-d304-4e12-b285-8ec918d1c51d
memory_id: 25fb4e37-02b4-4175-a8ad-ea05c84289b2
job_type: extract
status: completed
leased_at: 2026-02-25T15:03:25.735Z
completed_at: 2026-02-25T15:04:53.270Z
created_at: 2026-02-25T14:33:07.173Z
updated_at: 2026-02-25T15:04:53.270Z
result:
  {"facts":[{"content":"The chosen approach uses subagents to comprehensively review the oddcore-website codebase","type":"decision","confidence":0.95},{"content":"Subagents reviewing oddcore-website extract procedural knowledge, design patterns, component conventions, and best practices","type":"procedural","confidence":0.95},{"content":"Extracted knowledge from oddcore-website review is organized into skill documentation","type":"procedural","confidence":0.95},{"content":"Skill documentation created from oddcore-website knowledge extraction serves as a reference guide for future website projects to enable knowledge reuse and faster development","type":"rationale","confidence":0.9}],"entities":[{"source":"subagents","relationship":"deployed to review","target":"oddcore-website codebase","confidence":0.95},{"source":"review process","relationship":"extracts","target":"procedural knowledge, design patterns, component conventions, best practices","confidence":0.95},{"source":"extracted knowledge","relationship":"organized into","target":"skill documentation","confidence":0.9},{"source":"skill documentation","relationship":"serves as reference guide for","target":"future website projects","confidence":0.9}],"proposals":[{"action":"none","confidence":0.9,"reason":"New fact is already comprehensively covered by candidate [5], which explicitly states 'Deploy subagents to comprehensively review the oddcore-website codebase' with additional context about extracting best practices and creating skill documentation. No new information to add or merge.","fact":{"content":"The chosen approach uses subagents to comprehensively review the oddcore-website codebase","type":"decision","confidence":0.95}},{"action":"update","targetMemoryId":"25fb4e37-02b4-4175-a8ad-ea05c84289b2","confidence":0.95,"reason":"New fact directly confirms the existing procedural memory about subagents reviewing oddcore-website. Both describe the same activity: extracting procedural knowledge, design patterns, component conventions, and best practices. The new fact is more concise; candidate [5] is already comprehensive and covers this.","fact":{"content":"Subagents reviewing oddcore-website extract procedural knowledge, design patterns, component conventions, and best practices","type":"procedural","confidence":0.95},"targetContent":"Approach: Deploy subagents to comprehensively review the oddcore-website codebase and extract all procedural knowledge, design patterns, component conventions, and best practices into skill documentation. This creates a reference guide for future website projects."},{"action":"none","confidence":0.9,"reason":"Candidate [5] already captures this concept comprehensively: 'extract all procedural knowledge, design patterns, component conventions, and best practices into skill documentation.' The new fact about knowledge being organized into skill documentation is already subsumed by this existing procedural memory.","fact":{"content":"Extracted knowledge from oddcore-website review is organized into skill documentation","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.85,"reason":"Candidate [25fb4e37] already captures the core concept: skill documentation serves as a reference guide for future website projects. The new fact emphasizes knowledge reuse and faster development benefits, which are implicit in the existing memory about creating a reference guide. No new substantive information to add.","fact":{"content":"Skill documentation created from oddcore-website knowledge extraction serves as a reference guide for future website projects to enable knowledge reuse and faster development","type":"rationale","confidence":0.9}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 1e3d79b5-f998-46d8-b718-9f4f5ac912c1
memory_id: ec86ffbc-6188-4a10-89dc-bffb12367318
job_type: extract
status: completed
leased_at: 2026-02-25T15:04:55.272Z
completed_at: 2026-02-25T15:06:18.610Z
created_at: 2026-02-25T14:33:07.201Z
updated_at: 2026-02-25T15:06:18.610Z
result:
  {"facts":[{"content":"The mobile-design skill documentation includes the Mobile Design System with comprehensive references on iOS and Android design patterns","type":"fact","confidence":0.95},{"content":"The mobile-design skill documentation requires mandatory reference reading: mobile-design-thinking.md, touch-psychology.md, and mobile-performance.md","type":"fact","confidence":0.95},{"content":"The mobile-design skill documentation includes the Mobile Feasibility & Risk Index (MFRI) framework for assessing mobile design decisions","type":"fact","confidence":0.9},{"content":"The mobile-design skill documentation includes platform-specific considerations for iOS and Android development","type":"fact","confidence":0.95},{"content":"The mobile-design skill documentation includes mobile performance doctrine covering optimization strategies","type":"fact","confidence":0.9}],"entities":[{"source":"mobile-design skill","relationship":"contains","target":"Mobile Design System documentation","confidence":0.95},{"source":"Mobile Design System documentation","relationship":"requires_mandatory_reading","target":"mobile-design-thinking.md","confidence":0.95},{"source":"Mobile Design System documentation","relationship":"requires_mandatory_reading","target":"touch-psychology.md","confidence":0.95},{"source":"Mobile Design System documentation","relationship":"requires_mandatory_reading","target":"mobile-performance.md","confidence":0.95},{"source":"Mobile Design System documentation","relationship":"includes","target":"Mobile Feasibility & Risk Index (MFRI)","confidence":0.9},{"source":"Mobile Design System documentation","relationship":"includes","target":"platform-specific considerations","confidence":0.95},{"source":"Mobile Design System documentation","relationship":"includes","target":"performance doctrine","confidence":0.9}],"proposals":[{"action":"none","confidence":0.92,"reason":"Candidate [5] already captures this information: it states the mobile-design skill loaded 'its complete Mobile Design System documentation' with 'platform-specific considerations' for iOS and Android. The new fact is subsumed by the broader description in [5]. Candidate [2] also covers the iOS/Android implementation details. No new information to store.","fact":{"content":"The mobile-design skill documentation includes the Mobile Design System with comprehensive references on iOS and Android design patterns","type":"fact","confidence":0.95}},{"action":"none","confidence":0.92,"reason":"The exact same information about mandatory reference reading requirements (mobile-design-thinking.md, touch-psychology.md, mobile-performance.md) is already captured in candidate [5], which comprehensively documents the skill's documentation structure including these mandatory references","fact":{"content":"The mobile-design skill documentation requires mandatory reference reading: mobile-design-thinking.md, touch-psychology.md, and mobile-performance.md","type":"fact","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate [5] already comprehensively covers this fact - it explicitly mentions the Mobile Feasibility & Risk Index (MFRI) framework as part of the mobile-design skill's complete documentation. No new information or update needed.","fact":{"content":"The mobile-design skill documentation includes the Mobile Feasibility & Risk Index (MFRI) framework for assessing mobile design decisions","type":"fact","confidence":0.9}},{"action":"none","confidence":0.95,"reason":"Candidate [2] already captures this fact: 'The mobile-design skill documentation includes platform-specific considerations for iOS and Android implementations.' The new fact is semantically identical (development ≈ implementations). No new information to store.","fact":{"content":"The mobile-design skill documentation includes platform-specific considerations for iOS and Android development","type":"fact","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate [3] already captures this fact with more detail: 'performance doctrine describing performance optimization strategies and best practices'. New fact is redundant and fully covered.","fact":{"content":"The mobile-design skill documentation includes mobile performance doctrine covering optimization strategies","type":"fact","confidence":0.9}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: c2178041-e774-40b2-af55-46cb3ef7f7bf
memory_id: 2cfa03ac-f1b0-4d17-9410-7ae1c0e29c62
job_type: extract
status: completed
leased_at: 2026-02-25T15:06:20.612Z
completed_at: 2026-02-25T15:07:22.392Z
created_at: 2026-02-25T14:33:07.223Z
updated_at: 2026-02-25T15:07:22.392Z
result:
  {"facts":[{"content":"Guidance standardizing component selection should be added to the AGENTS.md file","type":"decision","confidence":0.9},{"content":"The component selection guidance specifies that shadcn-svelte alternatives should be preferred over custom implementations","type":"procedural","confidence":0.9},{"content":"The rationale for standardizing component selection via AGENTS.md is to prevent developers from building custom Svelte components when established shadcn-svelte alternatives already exist","type":"rationale","confidence":0.85}],"entities":[{"source":"AGENTS.md file","relationship":"receives","target":"component selection guidance","confidence":0.9},{"source":"component selection guidance","relationship":"specifies preference for","target":"shadcn-svelte components","confidence":0.9},{"source":"component selection guidance","relationship":"discourages","target":"custom Svelte implementations","confidence":0.85}],"proposals":[{"action":"none","confidence":0.95,"reason":"Candidate [4] (ID: 3708106f...) already captures this exact decision: 'Guidance was added to the AGENTS.md file to standardize component selection for dashboard UI development and prevent custom implementations'. The new fact is redundant with existing memory.","fact":{"content":"Guidance standardizing component selection should be added to the AGENTS.md file","type":"decision","confidence":0.9}},{"action":"update","targetMemoryId":"2cfa03ac-f1b0-4d17-9410-7ae1c0e29c62","confidence":0.85,"reason":"New fact is a direct procedural statement of the component selection guidance that candidate [5] describes. Merging into [5] makes it a clear, actionable rule rather than a description of past intent. The new fact has higher confidence (0.9) and is more explicit about the actual guideline.","fact":{"content":"The component selection guidance specifies that shadcn-svelte alternatives should be preferred over custom implementations","type":"procedural","confidence":0.9},"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."},{"action":"update","targetMemoryId":"d5533d07-5ad6-4a46-8f99-86f47288cd92","confidence":0.9,"reason":"New fact is the same rationale as candidate [2], expressed more specifically. It clarifies that the goal is preventing custom Svelte component development when established shadcn-svelte alternatives already exist. Merge to strengthen the rationale entry.","fact":{"content":"The rationale for standardizing component selection via AGENTS.md is to prevent developers from building custom Svelte components when established shadcn-svelte alternatives already exist","type":"rationale","confidence":0.85},"targetContent":"The decision to standardize on shadcn-svelte in AGENTS.md was made to prevent duplication and reduce custom component development efforts in the dashboard"}],"writeMode":"phase-c","writeStats":{"added":0,"updated":2,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 0c7bb181-5c21-4f1c-9d8a-b2583d796f11
memory_id: ce42d4e2-99a2-44e9-9b76-73e63666972c
job_type: extract
status: completed
leased_at: 2026-02-25T15:07:24.397Z
completed_at: 2026-02-25T15:08:22.576Z
created_at: 2026-02-25T14:33:49.027Z
updated_at: 2026-02-25T15:08:22.576Z
result:
  {"facts":[{"content":"The signetai repository session started at 14:31 UTC on the main branch","type":"fact","confidence":0.95},{"content":"User context including agent identity, project configuration, and active project status was automatically loaded from the Signet memory system at session start","type":"procedural","confidence":0.95},{"content":"No code work or decisions were made during this session window","type":"fact","confidence":0.95}],"entities":[{"source":"session","relationship":"started in","target":"signetai repository (main branch)","confidence":0.95},{"source":"session","relationship":"loaded context from","target":"Signet memory system","confidence":0.95},{"source":"Signet memory system","relationship":"provides","target":"agent identity, project configuration, active project status","confidence":0.95}],"proposals":[{"action":"none","confidence":0.92,"reason":"Candidate 5 already captures this exact session fact with additional context (user context loaded, agent identity, no work performed). The new fact is redundant with existing memory.","fact":{"content":"The signetai repository session started at 14:31 UTC on the main branch","type":"fact","confidence":0.95}},{"action":"none","confidence":0.9,"reason":"Candidate [4] already captures this exact procedural detail: 'User context was loaded from Signet memory system including agent identity, project configuration, and active project status.' New fact contains no additional information beyond what's already documented.","fact":{"content":"User context including agent identity, project configuration, and active project status was automatically loaded from the Signet memory system at session start","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.92,"reason":"Candidate [4] 'No code changes or architectural decisions were made during this session.' already covers this fact comprehensively. The new fact is a minor restatement of the same observation (code work = code changes, decisions already mentioned).","fact":{"content":"No code work or decisions were made during this session window","type":"fact","confidence":0.95}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 1e588a15-1506-4225-8ef7-ea4946481baf
memory_id: f11b66de-65f6-43ac-80bf-5c92a966e30a
job_type: extract
status: completed
leased_at: 2026-02-25T15:10:19.811Z
completed_at: 2026-02-25T15:15:58.597Z
created_at: 2026-02-25T14:33:49.043Z
updated_at: 2026-02-25T15:15:58.597Z
result:
  {"facts":[{"content":"Signet is an open standard for portable AI agent identity with spec version 0.2.1-draft","type":"semantic","confidence":0.95},{"content":"Signet authentication is built on ERC-8128 wallet-based signatures","type":"semantic","confidence":0.95},{"content":"The primary Signet implementation (signetai/) is a bun workspace monorepo located at /home/nicholai/signet/signetai/","type":"fact","confidence":0.95},{"content":"Signet daemon runs on port 3850 by default","type":"fact","confidence":0.95},{"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","type":"procedural","confidence":0.95},{"content":"Signet uses bun as the package manager across all packages","type":"decision","confidence":0.95},{"content":"Signet uses Biome for linting and formatting with no biome.json config file (uses defaults)","type":"decision","confidence":0.95},{"content":"Signet follows conventional commit style (feat:, fix:, docs:, etc.) for commit messages","type":"procedural","confidence":0.95},{"content":"Signet core uses SQLite as the database with FTS5 and hybrid (vector + keyword) search capabilities","type":"decision","confidence":0.95},{"content":"Signet memory extraction pipeline at packages/daemon/src/pipeline/ uses Ollama with model qwen3:4b by default","type":"fact","confidence":0.9},{"content":"Signet dashboard is built with Svelte 5 + Tailwind v4 + bits-ui + CodeMirror 6 + 3d-force-graph as static files served by daemon at /","type":"fact","confidence":0.95},{"content":"All Signet dashboard UI work must use components from shadcn-svelte (https://www.shadcn-svelte.com) rather than custom implementations","type":"decision","confidence":0.9},{"content":"Signet marketing website (signetai-web/) is built with Astro + Starlight and deployed to Cloudflare Pages","type":"fact","confidence":0.95},{"content":"Nicholai (user) is a developer, AI researcher, and artist in timezone America/Denver","type":"fact","confidence":0.95},{"content":"Nicholai prefers manual control over website deployments rather than auto-deployment","type":"preference","confidence":0.85},{"content":"Hard rule: Never delete production database without backup first","type":"procedural","confidence":0.95},{"content":"Hard rule: Do not delegate UI work to subagents - implement directly","type":"procedural","confidence":0.95},{"content":"Signet agent profile location is ~/.agents/ not ~/.signet/","type":"fact","confidence":0.95},{"content":"Always ask before taking external or public-facing actions (emails, messages, deployments, posts)","type":"procedural","confidence":0.95},{"content":"Build order for bun run build is: build:core → build:connector-base → build:deps (parallel) → build:signetai","type":"procedural","confidence":0.9}],"entities":[{"source":"Signet","relationship":"uses_auth","target":"ERC-8128 wallet signatures","confidence":0.95},{"source":"signetai","relationship":"uses_package_manager","target":"bun","confidence":0.95},{"source":"signetai","relationship":"uses_linter","target":"Biome","confidence":0.95},{"source":"signetai","relationship":"uses_database","target":"SQLite","confidence":0.95},{"source":"memory_pipeline","relationship":"uses_llm_provider","target":"Ollama (qwen3:4b)","confidence":0.9},{"source":"dashboard","relationship":"built_with","target":"Svelte 5 + Tailwind v4","confidence":0.95},{"source":"dashboard_ui","relationship":"must_use","target":"shadcn-svelte","confidence":0.9},{"source":"signetai-web","relationship":"built_with","target":"Astro + Starlight","confidence":0.95},{"source":"user_data","relationship":"stored_at","target":"~/.agents/","confidence":0.95},{"source":"Nicholai","relationship":"prefers","target":"manual website deployments","confidence":0.85}],"proposals":[{"action":"add","confidence":0.95,"reason":"No existing memories match this fact","fact":{"content":"Signet is an open standard for portable AI agent identity with spec version 0.2.1-draft","type":"semantic","confidence":0.95}},{"action":"update","targetMemoryId":"52ca4eb1-709d-4af1-8ea3-ae5acfd46134","confidence":0.85,"reason":"New fact describes current implementation (ERC-8128 wallet signatures) while candidate describes planned wallet auth. The new fact is more specific and current; existing memory should be updated to reflect that wallet authentication is already implemented with ERC-8128, not just planned.","fact":{"content":"Signet authentication is built on ERC-8128 wallet-based signatures","type":"semantic","confidence":0.95},"targetContent":"The planned development roadmap for 0.3.x includes wallet authentication"},{"action":"update","targetMemoryId":"f9995490-a448-4f64-ae7e-f57a7abcc9c9","confidence":0.9,"reason":"New fact adds explicit location path (/home/nicholai/signet/signetai/) and 'bun workspace monorepo' designation to existing monorepo structure candidate, making it more complete and location-aware without redundancy","fact":{"content":"The primary Signet implementation (signetai/) is a bun workspace monorepo located at /home/nicholai/signet/signetai/","type":"fact","confidence":0.95},"targetContent":"## Monorepo Structure (~/signetai)\n\n```\npackages/\n├── cli/     # @signet/cli - signet init/status/migrate/search\n├── core/    # @signet/core - database, types, search\n├── sdk/     # @signet/sdk - integration SDK + React components\n└── daemon/  # @signet/daemon - background file watcher\n```"},{"action":"update","targetMemoryId":"ea79fd89-710d-45bf-b332-8e5568e34743","confidence":0.95,"reason":"New fact directly complements existing memory about daemon HTTP communication. Should merge to clarify that 3850 is the default port (emphasizing 'default' as explicit context) while retaining the configurability note.","fact":{"content":"Signet daemon runs on port 3850 by default","type":"fact","confidence":0.95},"targetContent":"All daemon operations communicate through HTTP to http://localhost:3850, where the port is configurable"},{"action":"add","confidence":0.95,"reason":"New fact is accurate and specific about Signet's current data structure at ~/.agents/. Candidate [1] refers to a different project structure (myopenagent with agent/ subdirectory). Candidate [2] is incomplete/potentially misleading (mentions files exist at ~/.agents/ but 'don't match' accessible versions, which obscures the connector sync mechanism). New fact deserves independent storage as clear reference documentation.","fact":{"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","type":"procedural","confidence":0.95}},{"action":"delete","targetMemoryId":"18663d23-ccaa-4fb1-9393-55e5a6bd3669","confidence":0.95,"reason":"Candidate [2] directly contradicts the new fact and the established project standard documented in CLAUDE.md. The statement that npm is prioritized is invalid. The new fact is well-established across all project guidelines and should replace this incorrect memory.","fact":{"content":"Signet uses bun as the package manager across all packages","type":"decision","confidence":0.95},"targetContent":"The package manager fallback order in Signetai prioritizes npm over bun, which conflicts with the project standard of using bun as the primary package manager"},{"action":"add","confidence":0.8,"reason":"New fact documents a design decision for the main signetai workspace (no biome.json, uses defaults), while existing candidates [2-4] document errors in reference/supermemory packages. These are related to Biome but address different scopes and purposes—one is architectural guidance, the others are reference package issues. Worth storing separately as a standalone principle.","fact":{"content":"Signet uses Biome for linting and formatting with no biome.json config file (uses defaults)","type":"decision","confidence":0.95}},{"action":"add","confidence":0.92,"reason":"New procedural fact about commit style conventions. Candidate [3] relates to parsing these commits for changelog generation (specific task), not the general procedure itself. This deserves its own standalone memory for easy reference during development and code review.","fact":{"content":"Signet follows conventional commit style (feat:, fix:, docs:, etc.) for commit messages","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.85,"reason":"This architectural fact (SQLite + FTS5 + hybrid search) is already comprehensively documented in CLAUDE.md under @signet/core description and does not need duplication in memory. The existing candidates [2], [3], [4] cover the practical implementation details of this architecture. New memories should focus on transient, context-dependent information rather than foundational architecture already in version-controlled docs.","fact":{"content":"Signet core uses SQLite as the database with FTS5 and hybrid (vector + keyword) search capabilities","type":"decision","confidence":0.95}},{"action":"add","confidence":0.85,"reason":"New fact specifies the LLM model (qwen3:4b) for the daemon's memory extraction pipeline (packages/daemon/src/pipeline/). Candidate [3] covers the ingestion pipeline in packages/core/src/ingest/, which is a different component. This new fact adds specific model configuration details not covered elsewhere.","fact":{"content":"Signet memory extraction pipeline at packages/daemon/src/pipeline/ uses Ollama with model qwen3:4b by default","type":"fact","confidence":0.9}},{"action":"update","targetMemoryId":"ee72deef-eaeb-4b97-b47c-629cece9f722","confidence":0.95,"reason":"New fact is a refinement of candidate [5], adding the deployment detail (static files served at /). Merge: 'The Signet dashboard (packages/cli/dashboard) is built with Svelte 5, Tailwind v4, bits-ui, CodeMirror 6, and 3d-force-graph. Built to static files, served by daemon at /'","fact":{"content":"Signet dashboard is built with Svelte 5 + Tailwind v4 + bits-ui + CodeMirror 6 + 3d-force-graph as static files served by daemon at /","type":"fact","confidence":0.95},"targetContent":"The Signet dashboard (packages/cli/dashboard) is built with Svelte 5, Tailwind v4, bits-ui, CodeMirror 6, and 3d-force-graph"},{"action":"update","targetMemoryId":"bf5ce8e9-e943-443c-ba7b-a897bbf852c1","confidence":0.9,"reason":"New fact establishes the definitive policy that candidate [5] was requesting. Both are about enforcing shadcn-svelte use for all dashboard UI work. Updating consolidates this into a clear, actionable principle rather than keeping it as a request.","fact":{"content":"All Signet dashboard UI work must use components from shadcn-svelte (https://www.shadcn-svelte.com) rather than custom implementations","type":"decision","confidence":0.9},"targetContent":"## Dashboard UI Component Standards User requested adding guidance to AGENTS.md to enforce the use of shadcn-svelte components for all dashboard UI work. The session involved retrieving shadcn-svelte documentation from the LLMs reference and reading the current AGENTS.md configuration file."},{"action":"update","targetMemoryId":"689991f3-df2c-4390-b181-cbc677a04dbb","confidence":0.95,"reason":"New fact adds Starlight detail to existing memory about signetai-web/ deployment. Candidate [2] already covers Astro + Cloudflare Pages; merging to include Starlight framework specification.","fact":{"content":"Signet marketing website (signetai-web/) is built with Astro + Starlight and deployed to Cloudflare Pages","type":"fact","confidence":0.95},"targetContent":"The Astro website at signetai-web/ is deployed to Cloudflare Pages via wrangler and was previously configured for automatic deployment on every push to main"},{"action":"none","confidence":0.95,"reason":"Fact is already documented in existing memories: USER.md (role, timezone) and SOUL.md sections are loaded in context","fact":{"content":"Nicholai (user) is a developer, AI researcher, and artist in timezone America/Denver","type":"fact","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate [2] (ID: 7e97959a-108d-4a5f-bb5f-0478b5f58d6e) already captures this exact preference as rationale: 'Manual website deployment was chosen over automatic CI/CD deployment because Nicholai requires explicit control and intentionality over when the website goes live.' The new fact is a direct restatement of this existing memory.","fact":{"content":"Nicholai prefers manual control over website deployments rather than auto-deployment","type":"preference","confidence":0.85}},{"action":"add","confidence":0.95,"reason":"Critical procedural safety rule with no matching candidate. Existing memories cover architecture, cache invalidation, git commits, and issue management - none address database deletion safety. This rule deserves dedicated storage to prevent data loss.","fact":{"content":"Hard rule: Never delete production database without backup first","type":"procedural","confidence":0.95}},{"action":"add","confidence":0.95,"reason":"Hard rule about UI delegation is not covered by existing memories. Should be stored as a new pinned rule for consistent enforcement.","fact":{"content":"Hard rule: Do not delegate UI work to subagents - implement directly","type":"procedural","confidence":0.95}},{"action":"update","targetMemoryId":"753ca5c8-94a3-478c-a591-853f18fec828","confidence":0.95,"reason":"New fact clarifies and supersedes the existing candidate. The agent profile location is definitively ~/.agents/ (not ~/.signet/). Should replace the confused/contradictory phrasing about 'not matching' files accessible to Claude Code/OpenCode systems.","fact":{"content":"Signet agent profile location is ~/.agents/ not ~/.signet/","type":"fact","confidence":0.95},"targetContent":"Signet source files are located at `~/.agents/` but do not match the files accessible to Claude Code and OpenCode systems"},{"action":"none","confidence":0.95,"reason":"This procedural rule is already explicitly documented in the user's CLAUDE.md instructions under 'Operational Settings > External actions' and should not be duplicated in persistent memory per memory guidelines that state 'Anything that duplicates or contradicts existing CLAUDE.md instructions' should not be saved. The principle is anchored in durable documentation rather than transient memory.","fact":{"content":"Always ask before taking external or public-facing actions (emails, messages, deployments, posts)","type":"procedural","confidence":0.95}},{"action":"add","confidence":0.9,"reason":"New fact is Signetai-specific build order (build:core → build:connector-base → build:deps parallel → build:signetai), while existing candidate covers a different project (engage). Worth capturing for quick reference across sessions.","fact":{"content":"Build order for bun run build is: build:core → build:connector-base → build:deps (parallel) → build:signetai","type":"procedural","confidence":0.9}}],"writeMode":"phase-c","writeStats":{"added":8,"updated":7,"deleted":1,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":8},"warnings":[]}


id: 15b4f4da-a3ed-4c2d-9148-7b0b8e6054c5
memory_id: b535cb36-8c00-4662-baea-502a3604cb5e
job_type: extract
status: completed
leased_at: 2026-02-25T15:16:00.601Z
completed_at: 2026-02-25T15:16:51.606Z
created_at: 2026-02-25T14:33:49.071Z
updated_at: 2026-02-25T15:16:51.606Z
result:
  {"facts":[{"content":"The Ingest Pipeline Refactoring project is currently in progress at packages/core/src/ingest/","type":"fact","confidence":0.95},{"content":"Dashboard development is currently active at packages/cli/dashboard","type":"fact","confidence":0.95},{"content":"The dashboard in packages/cli/dashboard uses Svelte 5 and Tailwind v4 for development","type":"fact","confidence":0.95}],"entities":[{"source":"Ingest Pipeline Refactoring","relationship":"status","target":"in progress","confidence":0.95},{"source":"Ingest Pipeline Refactoring","relationship":"located at","target":"packages/core/src/ingest/","confidence":0.95},{"source":"Dashboard development","relationship":"status","target":"active","confidence":0.95},{"source":"Dashboard development","relationship":"located at","target":"packages/cli/dashboard","confidence":0.95},{"source":"Dashboard","relationship":"uses","target":"Svelte 5","confidence":0.95},{"source":"Dashboard","relationship":"uses","target":"Tailwind v4","confidence":0.95}],"proposals":[{"action":"none","confidence":0.95,"reason":"Candidate [5] already contains this exact information: 'Ingest Pipeline Refactoring in progress at packages/core/src/ingest/' as part of active project status","fact":{"content":"The Ingest Pipeline Refactoring project is currently in progress at packages/core/src/ingest/","type":"fact","confidence":0.95}},{"action":"none","confidence":0.95,"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.","fact":{"content":"Dashboard development is currently active at packages/cli/dashboard","type":"fact","confidence":0.95}},{"action":"none","confidence":0.98,"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.","fact":{"content":"The dashboard in packages/cli/dashboard uses Svelte 5 and Tailwind v4 for development","type":"fact","confidence":0.95}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 35cbf05c-0b1d-4243-a99c-5558f089db4b
memory_id: b4ae5757-bcaa-414e-9288-83f9139d8ba7
job_type: extract
status: completed
leased_at: 2026-02-25T15:16:53.608Z
completed_at: 2026-02-25T15:17:48.507Z
created_at: 2026-02-25T14:36:24.460Z
updated_at: 2026-02-25T15:17:48.507Z
result:
  {"facts":[{"content":"Signet daemon session initialization loads project context, memory artifacts, and identity configuration from the ~/.agents/ directory","type":"procedural","confidence":0.95},{"content":"Signet is a monorepo project (signetai) with modular packages including a daemon component","type":"fact","confidence":0.9}],"entities":[{"source":"Signet daemon","relationship":"loads_from","target":"~/.agents/","confidence":0.95},{"source":"Signet daemon","relationship":"part_of","target":"signetai monorepo","confidence":0.95},{"source":"session initialization","relationship":"requires","target":"identity configuration","confidence":0.9}],"proposals":[{"action":"update","targetMemoryId":"c70b1fa1-cae3-47cd-b5eb-a5bca5b1dfbd","confidence":0.85,"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","fact":{"content":"Signet daemon session initialization loads project context, memory artifacts, and identity configuration from the ~/.agents/ directory","type":"procedural","confidence":0.95},"targetContent":"The SessionStart hook successfully loads Signet agent configuration including memory database and identity files at session initialization"},{"action":"none","confidence":0.95,"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.","fact":{"content":"Signet is a monorepo project (signetai) with modular packages including a daemon component","type":"fact","confidence":0.9}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 37ca7146-9ede-4b54-b308-83b56dc6b37a
memory_id: 67634173-4f1f-45a0-ae7c-2af429d330f9
job_type: extract
status: completed
leased_at: 2026-02-25T15:17:50.509Z
completed_at: 2026-02-25T15:19:08.423Z
created_at: 2026-02-25T14:36:24.494Z
updated_at: 2026-02-25T15:19:08.423Z
result:
  {"facts":[{"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},{"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},{"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},{"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}],"entities":[{"source":"Ingest Pipeline Refactoring","relationship":"involves","target":"extracting common utilities","confidence":0.9},{"source":"Ingest Pipeline Refactoring","relationship":"involves","target":"standardizing LLM provider integration","confidence":0.9},{"source":"ProtonMail MCP Server Setup","relationship":"status_is","target":"completed","confidence":0.9},{"source":"ProtonMail MCP Server Setup","relationship":"awaits","target":"Claude Code session restart","confidence":0.9},{"source":"Ingestion Pipeline PR #25","relationship":"has_applied","target":"fixes to parsers and interfaces","confidence":0.85},{"source":"Ingestion Pipeline PR #25","relationship":"pending","target":"migration script","confidence":0.85}],"proposals":[{"action":"none","confidence":0.85,"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.","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}},{"action":"none","confidence":0.95,"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.","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}},{"action":"add","confidence":0.85,"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.","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}},{"action":"none","confidence":0.98,"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.","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}}],"writeMode":"phase-c","writeStats":{"added":1,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":1},"warnings":[]}


id: 2bfe0db5-d8c1-47b8-9f16-62a259b0c00c
memory_id: 4beb4ac7-81a2-431d-9b9d-a31f2805ab0f
job_type: extract
status: completed
leased_at: 2026-02-25T15:19:10.443Z
completed_at: 2026-02-25T15:20:42.366Z
created_at: 2026-02-25T15:00:18.329Z
updated_at: 2026-02-25T15:20:42.366Z
result:
  {"facts":[{"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},{"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},{"content":"The Signet Predictive Memory Scorer trains locally on individual user data rather than using a centralized global model","type":"decision","confidence":0.9},{"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},{"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}],"entities":[{"source":"Signet Predictive Memory Scorer","relationship":"implemented-in","target":"Rust","confidence":0.95},{"source":"Signet Predictive Memory Scorer","relationship":"uses-model-type","target":"cross-attention model","confidence":0.95},{"source":"Signet Predictive Memory Scorer","relationship":"part-of","target":"memory-pipeline architecture","confidence":0.95},{"source":"Signet Predictive Memory Scorer","relationship":"trains-on","target":"user memory-session interactions","confidence":0.95},{"source":"Signet Predictive Memory Scorer","relationship":"priority-classification","target":"north-star","confidence":0.9}],"proposals":[{"action":"none","confidence":0.95,"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.","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}},{"action":"none","confidence":0.92,"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.","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}},{"action":"none","confidence":0.95,"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.","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}},{"action":"none","confidence":0.95,"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.","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}},{"action":"update","targetMemoryId":"c65f5d0c-386c-4320-b4c3-bdc085c587d4","confidence":0.88,"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.","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},"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."}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 25cc2826-bed8-4498-a450-faa32d487889
memory_id: 0d3ac915-7cf3-4aff-9e97-5bf8e50d8451
job_type: extract
status: completed
leased_at: 2026-02-25T15:20:44.369Z
completed_at: 2026-02-25T15:22:22.134Z
created_at: 2026-02-25T15:00:18.341Z
updated_at: 2026-02-25T15:22:22.134Z
result:
  {"facts":[{"content":"RRF (Reciprocal Rank Fusion) ranking fusion is used instead of linear blending for combining ranked results","type":"decision","confidence":0.9},{"content":"NDCG (Normalized Discounted Cumulative Gain) is used as the success metric for tracking ranking predictor performance","type":"decision","confidence":0.9},{"content":"The ranking predictor earns influence over results by demonstrating it outperforms the baseline, evaluated via NDCG","type":"rationale","confidence":0.85},{"content":"Listwise ranking loss is used as the training objective for the ranking predictor model","type":"decision","confidence":0.9},{"content":"Real-time agent preference signals are captured using unicode characters and JSON tags as the encoding format","type":"procedural","confidence":0.85},{"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}],"entities":[{"source":"ranking fusion approach","relationship":"uses","target":"RRF (Reciprocal Rank Fusion)","confidence":0.9},{"source":"ranking fusion approach","relationship":"rejected","target":"linear blending","confidence":0.9},{"source":"ranking predictor","relationship":"uses","target":"NDCG-based success tracking","confidence":0.9},{"source":"ranking predictor","relationship":"uses","target":"listwise ranking loss","confidence":0.9},{"source":"ranking system","relationship":"captures","target":"real-time agent preference signals","confidence":0.85},{"source":"preference signal format","relationship":"uses","target":"unicode + JSON tag encoding","confidence":0.85},{"source":"ranking system","relationship":"requires","target":"session_memories join table","confidence":0.95},{"source":"session_memories join table","relationship":"is_missing_from","target":"current codebase","confidence":0.95}],"proposals":[{"action":"none","confidence":0.95,"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.","fact":{"content":"RRF (Reciprocal Rank Fusion) ranking fusion is used instead of linear blending for combining ranked results","type":"decision","confidence":0.9}},{"action":"none","targetMemoryId":"0d3ac915-7cf3-4aff-9e97-5bf8e50d8451","confidence":0.95,"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.","fact":{"content":"NDCG (Normalized Discounted Cumulative Gain) is used as the success metric for tracking ranking predictor performance","type":"decision","confidence":0.9},"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)."},{"action":"none","confidence":0.95,"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.","fact":{"content":"The ranking predictor earns influence over results by demonstrating it outperforms the baseline, evaluated via NDCG","type":"rationale","confidence":0.85}},{"action":"none","confidence":0.95,"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.","fact":{"content":"Listwise ranking loss is used as the training objective for the ranking predictor model","type":"decision","confidence":0.9}},{"action":"update","targetMemoryId":"0d3ac915-7cf3-4aff-9e97-5bf8e50d8451","confidence":0.92,"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.","fact":{"content":"Real-time agent preference signals are captured using unicode characters and JSON tags as the encoding format","type":"procedural","confidence":0.85},"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)."},{"action":"none","confidence":0.98,"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.","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}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: cb914651-021a-436f-a53a-cbf07e94eafa
memory_id: 5b49778e-ae07-448c-bf20-ad09fdcd87a1
job_type: extract
status: completed
leased_at: 2026-02-25T15:22:24.136Z
completed_at: 2026-02-25T15:23:37.277Z
created_at: 2026-02-25T15:00:18.355Z
updated_at: 2026-02-25T15:23:37.277Z
result:
  {"facts":[{"content":"The predictive memory scorer plan includes 8 delegated agents, each with explicit acceptance criteria","type":"decision","confidence":0.95},{"content":"ACAN reference code has been cloned to the references/acan/ directory","type":"procedural","confidence":0.95},{"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},{"content":"The predictive memory scorer plan is documented at docs/wip/predictive-memory-scorer.md","type":"fact","confidence":0.95}],"entities":[{"source":"predictive memory scorer plan","relationship":"includes","target":"8 delegated agents","confidence":0.95},{"source":"8 delegated agents","relationship":"have","target":"explicit acceptance criteria","confidence":0.9},{"source":"ACAN reference","relationship":"cloned to","target":"references/acan/","confidence":0.95},{"source":"Memory-R1 paper","relationship":"analyzed for","target":"predictive memory scorer plan","confidence":0.85},{"source":"predictive memory scorer plan","relationship":"documented at","target":"docs/wip/predictive-memory-scorer.md","confidence":0.95}],"proposals":[{"action":"none","confidence":0.95,"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.","fact":{"content":"The predictive memory scorer plan includes 8 delegated agents, each with explicit acceptance criteria","type":"decision","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"New fact is already captured in candidate [5], which explicitly states 'ACAN reference cloned to references/acan/'. No additional memory needed.","fact":{"content":"ACAN reference code has been cloned to the references/acan/ directory","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.95,"reason":"Candidate [3] already captures this exact information: 'Memory-R1 paper analyzed (no public code)'. The new fact is redundant with existing memory content.","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}},{"action":"add","confidence":0.85,"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.","fact":{"content":"The predictive memory scorer plan is documented at docs/wip/predictive-memory-scorer.md","type":"fact","confidence":0.95}}],"writeMode":"phase-c","writeStats":{"added":1,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":1},"warnings":[]}


id: d761b654-eb43-4340-9e2b-fe571060cc19
memory_id: a94f48d1-ad74-4bc4-bb7c-a32dbc6aa6ad
job_type: extract
status: completed
leased_at: 2026-02-25T15:23:39.280Z
completed_at: 2026-02-25T15:24:08.314Z
created_at: 2026-02-25T15:00:18.364Z
updated_at: 2026-02-25T15:24:08.314Z
result:
  {"facts":[{"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}],"entities":[{"source":"Signet","relationship":"has north star","target":"persistent identity vs. tool-based memory","confidence":0.95}],"proposals":[{"action":"none","confidence":0.98,"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.","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}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 4c079246-dd82-4263-ad93-d068cfba4a5d
memory_id: 751bf9ac-a028-4e2c-a6b9-4f5afb2926a1
job_type: extract
status: completed
leased_at: 2026-02-25T15:24:10.315Z
completed_at: 2026-02-25T15:24:59.559Z
created_at: 2026-02-25T15:02:58.619Z
updated_at: 2026-02-25T15:24:59.559Z
result:
  {"facts":[{"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},{"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}],"entities":[{"source":"Signet","relationship":"implements","target":"memory prediction algorithm","confidence":0.9},{"source":"memory prediction algorithm","relationship":"learns-to-surface","target":"relevant memories","confidence":0.85},{"source":"memory prediction algorithm","relationship":"considers","target":"context","confidence":0.8},{"source":"memory prediction algorithm","relationship":"considers","target":"sentiment","confidence":0.8},{"source":"memory prediction algorithm","relationship":"considers","target":"moment","confidence":0.8}],"proposals":[{"action":"none","confidence":0.95,"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.","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}},{"action":"none","confidence":0.85,"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.","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}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: fd9cef8a-de47-4db1-a334-652bc64cbde9
memory_id: 6f6af659-333c-4417-b165-d65d5c7847e7
job_type: extract
status: completed
leased_at: 2026-02-25T15:25:01.561Z
completed_at: 2026-02-25T15:25:46.627Z
created_at: 2026-02-25T15:02:58.629Z
updated_at: 2026-02-25T15:25:46.627Z
result:
  {"facts":[{"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},{"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}],"entities":[{"source":"Signet","relationship":"reconceptualized_as","target":"inference engine","confidence":0.85},{"source":"Signet","relationship":"contrasts_with","target":"static memory system","confidence":0.85},{"source":"inference engine","relationship":"predicts","target":"optimal recall strategies","confidence":0.85},{"source":"proposal","relationship":"specifies_implementation","target":"Rust-based transformer model","confidence":0.8},{"source":"transformer model","relationship":"training_scope","target":"local and unique per user","confidence":0.8}],"proposals":[{"action":"none","confidence":0.92,"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.","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}},{"action":"none","confidence":0.95,"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.","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}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: f8becf58-6f16-48d7-90f2-d7269012af41
memory_id: 43cacb81-afc2-4503-aadd-8e9d37e6861b
job_type: extract
status: completed
leased_at: 2026-02-25T15:25:48.629Z
completed_at: 2026-02-25T15:26:58.510Z
created_at: 2026-02-25T15:02:58.639Z
updated_at: 2026-02-25T15:26:58.510Z
result:
  {"facts":[{"content":"The memory injection model trains progressively on accumulated memories and session histories","type":"procedural","confidence":0.85},{"content":"Real-time memory injection predictions are generated at session start","type":"procedural","confidence":0.9},{"content":"Real-time memory injection predictions are generated on user prompt submit events","type":"procedural","confidence":0.9},{"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}],"entities":[{"source":"memory injection model","relationship":"trains on","target":"accumulated memories","confidence":0.85},{"source":"memory injection model","relationship":"trains on","target":"session histories","confidence":0.85},{"source":"memory injection system","relationship":"generates predictions at","target":"session start","confidence":0.9},{"source":"memory injection system","relationship":"generates predictions at","target":"user prompt submit events","confidence":0.9},{"source":"memory injection system design","relationship":"references","target":"MicroGPT inference pipeline pattern","confidence":0.85}],"proposals":[{"action":"none","confidence":0.95,"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.'","fact":{"content":"The memory injection model trains progressively on accumulated memories and session histories","type":"procedural","confidence":0.85}},{"action":"none","confidence":0.95,"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.","fact":{"content":"Real-time memory injection predictions are generated at session start","type":"procedural","confidence":0.9}},{"action":"none","confidence":0.95,"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.","fact":{"content":"Real-time memory injection predictions are generated on user prompt submit events","type":"procedural","confidence":0.9}},{"action":"none","confidence":0.95,"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.","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}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 0182b1ee-9e0d-4d06-8c09-f4485283faae
memory_id: 81fe60e7-6184-44a7-8c11-7007519bcd82
job_type: extract
status: completed
leased_at: 2026-02-25T15:27:00.512Z
completed_at: 2026-02-25T15:27:43.111Z
created_at: 2026-02-25T15:02:58.649Z
updated_at: 2026-02-25T15:27:43.111Z
result:
  {"facts":[{"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},{"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}],"entities":[{"source":"Signet","relationship":"positions as north star feature","target":"persistent memory/mind capability","confidence":0.8},{"source":"persistent memory capability","relationship":"represents difference between","target":"tool that remembers vs mind that persists","confidence":0.75}],"proposals":[{"action":"none","confidence":0.95,"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.","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}},{"action":"update","targetMemoryId":"a94f48d1-ad74-4bc4-bb7c-a32dbc6aa6ad","confidence":0.85,"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.","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},"targetContent":"This feature is the north star for Signet - \"the difference between a tool that remembers and a mind that persists.\""}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 82c764ab-fe56-4068-ab8e-9aea842ed098
memory_id: e709db27-aef4-45c1-9981-af8af0c58fff
job_type: extract
status: completed
leased_at: 2026-02-25T15:27:45.113Z
completed_at: 2026-02-25T15:28:45.754Z
created_at: 2026-02-25T15:03:23.935Z
updated_at: 2026-02-25T15:28:45.754Z
result:
  {"facts":[{"content":"Nicholai has tasked Claude with finding and fixing bugs in the signetai codebase","type":"procedural","confidence":0.95},{"content":"Bug fixes in the signetai codebase should prioritize issues that break functionality over non-critical or cosmetic issues","type":"preference","confidence":0.9},{"content":"A bug hunt session is currently active for the signetai project","type":"procedural","confidence":0.95}],"entities":[{"source":"Nicholai","relationship":"tasks","target":"Claude","confidence":0.95},{"source":"Claude","relationship":"works on","target":"signetai codebase","confidence":0.95},{"source":"bug hunt session","relationship":"prioritizes","target":"functionality-breaking issues","confidence":0.9}],"proposals":[{"action":"none","confidence":0.95,"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.","fact":{"content":"Nicholai has tasked Claude with finding and fixing bugs in the signetai codebase","type":"procedural","confidence":0.95}},{"action":"update","targetMemoryId":"e709db27-aef4-45c1-9981-af8af0c58fff","confidence":0.85,"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.","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},"targetContent":"## Bug Hunt Session Initiated Nicholai tasked Claude to find and fix bugs in the signetai codebase, prioritizing issues that break functionality."},{"action":"none","confidence":0.92,"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.","fact":{"content":"A bug hunt session is currently active for the signetai project","type":"procedural","confidence":0.95}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 8fc38fd3-9970-4756-af67-75569456ed80
memory_id: 147826fa-e0ea-4410-b029-53e06172aaae
job_type: extract
status: completed
leased_at: 2026-02-25T15:28:47.757Z
completed_at: 2026-02-25T15:30:01.989Z
created_at: 2026-02-25T15:03:23.999Z
updated_at: 2026-02-25T15:30:01.989Z
result:
  {"facts":[{"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},{"content":"ClawHub cache and fetch logic is implemented in packages/daemon/src/daemon.ts","type":"procedural","confidence":0.9},{"content":"The /api/skills/browse endpoint is updated to merge multiple skill provider sources","type":"procedural","confidence":0.85},{"content":"The /api/skills/search endpoint is updated to merge multiple skill provider sources","type":"procedural","confidence":0.85}],"entities":[{"source":"unified search","relationship":"combines","target":"skills.sh API search","confidence":0.9},{"source":"unified search","relationship":"combines","target":"ClawHub catalog","confidence":0.9},{"source":"ClawHub cache logic","relationship":"implemented-in","target":"packages/daemon/src/daemon.ts","confidence":0.9},{"source":"/api/skills/browse","relationship":"merges","target":"multiple skill providers","confidence":0.85},{"source":"/api/skills/search","relationship":"merges","target":"multiple skill providers","confidence":0.85}],"proposals":[{"action":"update","targetMemoryId":"147826fa-e0ea-4410-b029-53e06172aaae","confidence":0.92,"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.","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},"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."},{"action":"none","confidence":0.95,"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.","fact":{"content":"ClawHub cache and fetch logic is implemented in packages/daemon/src/daemon.ts","type":"procedural","confidence":0.9}},{"action":"none","confidence":0.95,"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.","fact":{"content":"The /api/skills/browse endpoint is updated to merge multiple skill provider sources","type":"procedural","confidence":0.85}},{"action":"none","confidence":0.95,"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.","fact":{"content":"The /api/skills/search endpoint is updated to merge multiple skill provider sources","type":"procedural","confidence":0.85}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 90f106a3-7012-4c20-bec3-da612d51f999
memory_id: 4b4daedf-3d1e-4012-a8d5-14b5a90cdfad
job_type: extract
status: completed
leased_at: 2026-02-25T15:30:03.989Z
completed_at: 2026-02-25T15:31:04.515Z
created_at: 2026-02-25T15:03:24.018Z
updated_at: 2026-02-25T15:31:04.515Z
result:
  {"facts":[{"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},{"content":"The session prioritized discovery and context-gathering over immediate implementation","type":"decision","confidence":0.9},{"content":"Context-gathering on navigation structure, architecture, tech stack, and design aesthetic should precede redesign proposals","type":"rationale","confidence":0.85}],"entities":[{"source":"assistant","relationship":"launched","target":"Explore agent","confidence":0.95},{"source":"Explore agent","relationship":"gathered context on","target":"navigation structure","confidence":0.95},{"source":"Explore agent","relationship":"gathered context on","target":"site architecture","confidence":0.95},{"source":"Explore agent","relationship":"gathered context on","target":"tech stack","confidence":0.95},{"source":"Explore agent","relationship":"gathered context on","target":"design aesthetic","confidence":0.95},{"source":"session","relationship":"prioritized","target":"discovery","confidence":0.9},{"source":"context-gathering","relationship":"precedes","target":"implementation","confidence":0.9}],"proposals":[{"action":"none","targetMemoryId":"4b4daedf-3d1e-4012-a8d5-14b5a90cdfad","confidence":0.92,"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.","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},"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."},{"action":"none","confidence":0.95,"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.","fact":{"content":"The session prioritized discovery and context-gathering over immediate implementation","type":"decision","confidence":0.9}},{"action":"none","confidence":0.9,"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.","fact":{"content":"Context-gathering on navigation structure, architecture, tech stack, and design aesthetic should precede redesign proposals","type":"rationale","confidence":0.85}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 46277d56-6b97-4fd0-a2bf-e7ddbbcca508
memory_id: b28ceb05-4bb9-4bc3-8dab-a7d4555d6402
job_type: extract
status: completed
leased_at: 2026-02-25T15:31:06.528Z
completed_at: 2026-02-25T15:32:24.402Z
created_at: 2026-02-25T15:03:24.061Z
updated_at: 2026-02-25T15:32:24.402Z
result:
  {"facts":[{"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},{"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},{"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}],"entities":[{"source":"release workflow","relationship":"generates","target":"CHANGELOG.md","confidence":0.95},{"source":"release workflow","relationship":"uses","target":"scripts/changelog.ts","confidence":0.9},{"source":"release commit","relationship":"includes","target":"CHANGELOG.md","confidence":0.95},{"source":"release commit","relationship":"includes","target":"version bumps","confidence":0.95}],"proposals":[{"action":"update","targetMemoryId":"b28ceb05-4bb9-4bc3-8dab-a7d4555d6402","confidence":0.92,"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.","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},"targetContent":"CI workflow modification adds changelog generation to release process, appending CHANGELOG.md to the release commit alongside version bumps."},{"action":"none","confidence":0.95,"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.","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}},{"action":"update","targetMemoryId":"d505afb4-a80f-4a32-bfec-81ef307ce372","confidence":0.85,"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.","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},"targetContent":"The GitHub Actions release.yml workflow automatically commits version bumps and pushes them back to the repository with git tags"}],"writeMode":"phase-c","writeStats":{"added":0,"updated":2,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: d6ce3d3d-d903-4306-8642-901b484f0391
memory_id: db7d4cf2-4c58-44e3-a5a3-3cde59d89233
job_type: extract
status: completed
leased_at: 2026-02-25T15:32:26.402Z
completed_at: 2026-02-25T15:33:26.825Z
created_at: 2026-02-25T15:03:24.078Z
updated_at: 2026-02-25T15:33:26.825Z
result:
  {"facts":[{"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},{"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},{"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}],"entities":[{"source":"Nicholai","relationship":"wants_to_integrate","target":"Steam API endpoints","confidence":0.9},{"source":"Steam API endpoints","relationship":"can_provide","target":"live game metadata","confidence":0.8},{"source":"live game metadata","relationship":"feeds_into","target":"Nicholai's website","confidence":0.9}],"proposals":[{"action":"none","confidence":0.95,"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.","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}},{"action":"none","confidence":0.95,"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.","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}},{"action":"update","targetMemoryId":"db7d4cf2-4c58-44e3-a5a3-3cde59d89233","confidence":0.95,"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.","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},"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.)."}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 5b45856f-15d5-412b-a110-9446d00dff46
memory_id: c5bbd75c-036b-4c94-b6e2-e60167e75c88
job_type: extract
status: completed
leased_at: 2026-02-25T15:33:28.826Z
completed_at: 2026-02-25T15:34:36.322Z
created_at: 2026-02-25T15:03:24.158Z
updated_at: 2026-02-25T15:34:36.322Z
result:
  {"facts":[{"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},{"content":"The Compass codebase exploration is preparatory work required before planning a refactoring strategy","type":"decision","confidence":0.9},{"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}],"entities":[{"source":"exploration agent","relationship":"analyzes","target":"Compass codebase","confidence":0.95},{"source":"Compass codebase","relationship":"has coupling pattern","target":"core vs construction-specific tables","confidence":0.9},{"source":"codebase exploration","relationship":"precedes","target":"refactoring strategy","confidence":0.9},{"source":"exploration analysis","relationship":"examines","target":"server actions separation","confidence":0.85},{"source":"exploration analysis","relationship":"examines","target":"component organization","confidence":0.85}],"proposals":[{"action":"none","confidence":0.92,"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.","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}},{"action":"none","confidence":0.85,"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.","fact":{"content":"The Compass codebase exploration is preparatory work required before planning a refactoring strategy","type":"decision","confidence":0.9}},{"action":"none","confidence":0.95,"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.","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}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 47943722-1b8f-4626-a703-3a7a6de1dc10
memory_id: c7a5b88a-4283-4b82-bed8-7a220f4a9906
job_type: extract
status: completed
leased_at: 2026-02-25T15:34:38.323Z
completed_at: 2026-02-25T15:35:41.922Z
created_at: 2026-02-25T15:03:24.185Z
updated_at: 2026-02-25T15:35:41.922Z
result:
  {"facts":[{"content":"A feature is being developed to address legacy databases that accumulated memories without processing through the extraction pipeline","type":"procedural","confidence":0.9},{"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},{"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}],"entities":[{"source":"feature","relationship":"addresses","target":"legacy databases with unprocessed memories","confidence":0.9},{"source":"legacy databases","relationship":"accumulated","target":"memories without extraction pipeline","confidence":0.9},{"source":"current deduplication system","relationship":"uses","target":"content_hash uniqueness constraints","confidence":0.85},{"source":"current deduplication system","relationship":"operates at","target":"write time","confidence":0.85},{"source":"extraction pipeline","relationship":"missing from","target":"legacy database memories","confidence":0.9}],"proposals":[{"action":"none","confidence":0.95,"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","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}},{"action":"none","confidence":0.95,"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.","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}},{"action":"update","targetMemoryId":"c7a5b88a-4283-4b82-bed8-7a220f4a9906","confidence":0.85,"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.","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},"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."}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 9c50e9fc-e8f2-4574-9c92-b49bf567a5fb
memory_id: bff6bd87-3b3c-4e28-b686-14959395c208
job_type: extract
status: completed
leased_at: 2026-02-25T15:35:43.923Z
completed_at: 2026-02-25T15:37:32.167Z
created_at: 2026-02-25T15:03:24.195Z
updated_at: 2026-02-25T15:37:32.167Z
result:
  {"facts":[{"content":"The repair action plan implementation spans 6 files","type":"procedural","confidence":0.85},{"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},{"content":"Phase 1 of the repair action uses exact hash clustering implemented via SQL GROUP BY for efficient grouping","type":"procedural","confidence":0.9},{"content":"Phase 2 of the repair action optionally applies semantic clustering using KNN (k-nearest neighbors) on embedded memories","type":"procedural","confidence":0.9},{"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}],"entities":[{"source":"repair action","relationship":"implements","target":"two-phase clustering approach","confidence":0.9},{"source":"repair action","relationship":"spans","target":"6 files","confidence":0.85},{"source":"phase 1 clustering","relationship":"uses","target":"SQL GROUP BY","confidence":0.9},{"source":"phase 1 clustering","relationship":"characterized_as","target":"cheap/efficient","confidence":0.85},{"source":"phase 2 clustering","relationship":"uses","target":"KNN","confidence":0.9},{"source":"phase 2 clustering","relationship":"operates_on","target":"embedded memories","confidence":0.9},{"source":"phase 2 clustering","relationship":"is","target":"optional","confidence":0.9}],"proposals":[{"action":"none","confidence":0.9,"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.","fact":{"content":"The repair action plan implementation spans 6 files","type":"procedural","confidence":0.85}},{"action":"none","confidence":0.88,"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.","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}},{"action":"none","confidence":0.95,"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.","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}},{"action":"none","confidence":0.95,"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.","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}},{"action":"update","targetMemoryId":"bff6bd87-3b3c-4e28-b686-14959395c208","confidence":0.9,"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.","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},"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."}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 1a2fc40a-f9da-43bf-b412-628304bd4957
memory_id: 109914c1-c762-4335-968f-302169de4d4f
job_type: extract
status: completed
leased_at: 2026-02-25T15:37:34.169Z
completed_at: 2026-02-25T15:38:45.390Z
created_at: 2026-02-25T15:03:24.205Z
updated_at: 2026-02-25T15:38:45.390Z
result:
  {"facts":[{"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},{"content":"Pinned memories and manually-overridden memories receive special protection in the keeper selection algorithm to prevent accidental replacement","type":"fact","confidence":0.9},{"content":"Tag merging in the memory system combines comma-separated tag strings from multiple memory versions","type":"procedural","confidence":0.9},{"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}],"entities":[{"source":"keeper selection algorithm","relationship":"weights by","target":"importance (×3)","confidence":0.9},{"source":"keeper selection algorithm","relationship":"normalizes","target":"access/update counts","confidence":0.9},{"source":"keeper selection algorithm","relationship":"uses tiebreaker","target":"recency","confidence":0.9},{"source":"keeper selection algorithm","relationship":"protects","target":"pinned memories","confidence":0.9},{"source":"keeper selection algorithm","relationship":"protects","target":"manually-overridden memories","confidence":0.9},{"source":"tag merging","relationship":"combines","target":"comma-separated strings","confidence":0.9},{"source":"memory changes","relationship":"implemented as","target":"soft-deletes","confidence":0.9},{"source":"memory changes","relationship":"tracked via","target":"full audit trails","confidence":0.9}],"proposals":[{"action":"none","confidence":0.95,"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.","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}},{"action":"none","confidence":0.95,"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.","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}},{"action":"none","confidence":0.85,"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.","fact":{"content":"Tag merging in the memory system combines comma-separated tag strings from multiple memory versions","type":"procedural","confidence":0.9}},{"action":"none","confidence":0.95,"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.","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}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 95edd75e-80a8-477d-8931-ffd74770387f
memory_id: cc4e067b-cd71-4561-97ca-7a9e36c041e6
job_type: extract
status: completed
leased_at: 2026-02-25T15:38:47.398Z
completed_at: 2026-02-25T15:39:18.590Z
created_at: 2026-02-25T15:03:24.219Z
updated_at: 2026-02-25T15:39:18.590Z
result:
  {"facts":[{"content":"A dry-run mode allows users to preview the effects of an operation before executing it","type":"procedural","confidence":0.7}],"entities":[{"source":"dry-run mode","relationship":"enables","target":"preview before execution","confidence":0.7}],"proposals":[{"action":"none","confidence":0.95,"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.","fact":{"content":"A dry-run mode allows users to preview the effects of an operation before executing it","type":"procedural","confidence":0.7}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 5b31826f-e455-4272-8179-ba43e6f494f0
memory_id: 37473cdc-06ef-4139-8d06-289cc05eb9d6
job_type: extract
status: completed
leased_at: 2026-02-25T15:39:20.591Z
completed_at: 2026-02-25T15:40:07.788Z
created_at: 2026-02-25T15:13:46.143Z
updated_at: 2026-02-25T15:40:07.788Z
result:
  {"facts":[{"content":"Nicholai implemented a multi-layer guard mechanism in the Signet daemon scheduler to prevent infinite recursive extraction loops","type":"decision","confidence":0.95},{"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}],"entities":[{"source":"Nicholai","relationship":"implemented","target":"multi-layer guard mechanism","confidence":0.95},{"source":"Signet daemon scheduler","relationship":"includes protection against","target":"infinite recursive extraction loops","confidence":0.9},{"source":"guard mechanism","relationship":"prevents","target":"recursive extraction loops","confidence":0.9}],"proposals":[{"action":"none","confidence":0.99,"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.","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}},{"action":"none","confidence":0.85,"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.","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}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 31b6332e-9b98-413a-a08d-c8115e3c9615
memory_id: d460c2ce-184b-41aa-9884-a3d6e1bb173e
job_type: extract
status: completed
leased_at: 2026-02-25T15:40:09.791Z
completed_at: 2026-02-25T15:41:26.419Z
created_at: 2026-02-25T15:13:46.152Z
updated_at: 2026-02-25T15:41:26.419Z
result:
  {"facts":[{"content":"The Signet scheduler spawns full Claude Code and OpenCode agent sessions that inherit the parent environment configuration","type":"procedural","confidence":0.9},{"content":"Spawned agent sessions trigger Signet's session-start and session-end lifecycle hooks","type":"procedural","confidence":0.9},{"content":"Signet's session-start and session-end hooks trigger summary jobs and memory extraction processes","type":"procedural","confidence":0.9},{"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}],"entities":[{"source":"Signet scheduler","relationship":"spawns","target":"Claude Code/OpenCode agent sessions","confidence":0.9},{"source":"spawned agent sessions","relationship":"inherit","target":"environment configuration","confidence":0.9},{"source":"spawned agent sessions","relationship":"trigger","target":"session-start/end hooks","confidence":0.9},{"source":"session-start/end hooks","relationship":"trigger","target":"summary jobs and memory extraction","confidence":0.9},{"source":"spawned sessions cascade","relationship":"can create","target":"infinite expensive loop","confidence":0.85}],"proposals":[{"action":"none","confidence":0.95,"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.","fact":{"content":"The Signet scheduler spawns full Claude Code and OpenCode agent sessions that inherit the parent environment configuration","type":"procedural","confidence":0.9}},{"action":"none","confidence":0.95,"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.","fact":{"content":"Spawned agent sessions trigger Signet's session-start and session-end lifecycle hooks","type":"procedural","confidence":0.9}},{"action":"none","confidence":0.85,"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.","fact":{"content":"Signet's session-start and session-end hooks trigger summary jobs and memory extraction processes","type":"procedural","confidence":0.9}},{"action":"none","confidence":0.95,"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.","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}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: c3016b05-3167-4d32-b68b-d21d025520ae
memory_id: 3db0f089-46bf-4089-8cc0-da7cb2c18adc
job_type: extract
status: completed
leased_at: 2026-02-25T15:41:42.367Z
completed_at: 2026-02-25T15:43:02.640Z
created_at: 2026-02-25T15:13:46.175Z
updated_at: 2026-02-25T15:43:02.640Z
result:
  {"facts":[{"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},{"content":"The hookCmd preAction hook exits silently with exit code 0 when a sentinel is set","type":"procedural","confidence":0.95},{"content":"The preAction hook prevents all hook subcommands from executing in spawned agent contexts","type":"procedural","confidence":0.95},{"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}],"entities":[{"source":"CLI Hook Guard","relationship":"implemented in","target":"packages/cli/src/cli.ts","confidence":0.95},{"source":"CLI Hook Guard","relationship":"uses","target":"preAction hook","confidence":0.95},{"source":"preAction hook","relationship":"attached to","target":"hookCmd","confidence":0.95},{"source":"preAction hook","relationship":"prevents execution of","target":"hook subcommands in spawned contexts","confidence":0.95},{"source":"preAction hook","relationship":"checks","target":"sentinel value","confidence":0.9}],"proposals":[{"action":"none","confidence":0.95,"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.","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}},{"action":"none","confidence":0.98,"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.","fact":{"content":"The hookCmd preAction hook exits silently with exit code 0 when a sentinel is set","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.95,"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.","fact":{"content":"The preAction hook prevents all hook subcommands from executing in spawned agent contexts","type":"procedural","confidence":0.95}},{"action":"update","targetMemoryId":"37473cdc-06ef-4139-8d06-289cc05eb9d6","confidence":0.87,"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).","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},"targetContent":"## Recursive Extraction Loop Prevention Implementation Nicholai implemented a multi-layer guard mechanism to prevent infinite recursive extraction loops in the Signet daemon scheduler."}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: aa2be026-1de0-486d-91b5-c0e85a7b4293
memory_id: 8a929ca7-9ea8-4262-9520-f1c0fed7fdd9
job_type: extract
status: completed
leased_at: 2026-02-25T15:43:04.655Z
completed_at: 2026-02-25T15:43:50.776Z
created_at: 2026-02-25T15:13:46.185Z
updated_at: 2026-02-25T15:43:50.776Z
result:
  {"facts":[{"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},{"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}],"entities":[{"source":"Scheduler Spawn (packages/daemon/src/scheduler/spawn.ts)","relationship":"injects","target":"SIGNET_NO_HOOKS environment variable","confidence":0.95},{"source":"spawned child agent processes","relationship":"inherit","target":"SIGNET_NO_HOOKS sentinel","confidence":0.9},{"source":"SIGNET_NO_HOOKS environment variable","relationship":"prevents","target":"recursive hook execution in spawned agents","confidence":0.9}],"proposals":[{"action":"none","confidence":0.95,"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.","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}},{"action":"none","confidence":0.85,"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.","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}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: c2a0156d-004f-4d39-9367-1a397eb3fe74
memory_id: cd9a5f27-6c58-48ca-9594-9a7754c46b2e
job_type: extract
status: completed
leased_at: 2026-02-25T15:43:52.777Z
completed_at: 2026-02-25T15:44:59.138Z
created_at: 2026-02-25T15:13:46.196Z
updated_at: 2026-02-25T15:44:59.138Z
result:
  {"facts":[{"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},{"content":"The ClaudeCodeProvider's child environment has existing `CLAUDECODE` variable stripping as part of its configuration","type":"fact","confidence":0.9},{"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}],"entities":[{"source":"Pipeline Provider","relationship":"adds","target":"SIGNET_NO_HOOKS: \"1\" environment variable","confidence":0.95},{"source":"ClaudeCodeProvider child environment","relationship":"strips","target":"CLAUDECODE variable","confidence":0.9},{"source":"packages/daemon/src/pipeline/provider.ts","relationship":"implements","target":"redundant recursive hook prevention defense","confidence":0.85}],"proposals":[{"action":"none","confidence":0.98,"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.","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}},{"action":"none","confidence":0.95,"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.","fact":{"content":"The ClaudeCodeProvider's child environment has existing `CLAUDECODE` variable stripping as part of its configuration","type":"fact","confidence":0.9}},{"action":"none","confidence":0.9,"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.","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}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 07f9b609-034d-4847-a32b-86bdcd7ca8db
memory_id: b1a34daa-b416-47ab-ace0-2ec50464a357
job_type: extract
status: completed
leased_at: 2026-02-25T15:45:01.139Z
completed_at: 2026-02-25T15:46:10.221Z
created_at: 2026-02-25T15:13:46.205Z
updated_at: 2026-02-25T15:46:10.221Z
result:
  {"facts":[{"content":"A new `isInternalCall()` helper function was added to packages/daemon/src/daemon.ts","type":"decision","confidence":0.95},{"content":"The `isInternalCall()` helper checks for the `x-signet-no-hooks: 1` HTTP header to identify internal calls","type":"procedural","confidence":0.95},{"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},{"content":"The `isInternalCall()` guard prevents direct HTTP API calls from bypassing the CLI when accessing daemon hook routes","type":"rationale","confidence":0.9}],"entities":[{"source":"isInternalCall() helper","relationship":"located-in","target":"packages/daemon/src/daemon.ts","confidence":0.95},{"source":"isInternalCall() helper","relationship":"checks-for","target":"x-signet-no-hooks: 1 header","confidence":0.95},{"source":"isInternalCall() helper","relationship":"guards","target":"hook routes (/api/hooks/*)","confidence":0.95},{"source":"hook routes","relationship":"prevents-bypass-of","target":"CLI","confidence":0.9}],"proposals":[{"action":"none","confidence":0.98,"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.","fact":{"content":"A new `isInternalCall()` helper function was added to packages/daemon/src/daemon.ts","type":"decision","confidence":0.95}},{"action":"none","confidence":0.98,"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.","fact":{"content":"The `isInternalCall()` helper checks for the `x-signet-no-hooks: 1` HTTP header to identify internal calls","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.95,"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.","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}},{"action":"none","confidence":0.95,"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.","fact":{"content":"The `isInternalCall()` guard prevents direct HTTP API calls from bypassing the CLI when accessing daemon hook routes","type":"rationale","confidence":0.9}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: d80e1a68-77d2-41d5-bf43-84e7b8769b31
memory_id: 9f8752ed-f260-4599-822a-ec97f86506b3
job_type: extract
status: completed
leased_at: 2026-02-25T15:46:12.223Z
completed_at: 2026-02-25T15:47:46.079Z
created_at: 2026-02-25T15:13:46.216Z
updated_at: 2026-02-25T15:47:46.079Z
result:
  {"facts":[{"content":"The implementation is non-breaking and maintains backward compatibility with existing systems","type":"decision","confidence":0.9},{"content":"Normal user sessions remain unaffected by the implementation when the triggering environment variable is not set","type":"procedural","confidence":0.85},{"content":"All existing safe code paths remain unchanged by the implementation","type":"decision","confidence":0.9},{"content":"The implementation introduces no database schema changes","type":"decision","confidence":0.9},{"content":"The implementation introduces no API changes","type":"decision","confidence":0.9}],"entities":[{"source":"implementation","relationship":"maintains","target":"backward compatibility","confidence":0.9},{"source":"normal user sessions","relationship":"remain unaffected by","target":"implementation","confidence":0.85},{"source":"existing safe code paths","relationship":"are preserved by","target":"implementation","confidence":0.9},{"source":"implementation","relationship":"preserves","target":"database schema","confidence":0.9},{"source":"implementation","relationship":"preserves","target":"API contracts","confidence":0.9}],"proposals":[{"action":"none","confidence":0.95,"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.","fact":{"content":"The implementation is non-breaking and maintains backward compatibility with existing systems","type":"decision","confidence":0.9}},{"action":"none","confidence":0.95,"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.","fact":{"content":"Normal user sessions remain unaffected by the implementation when the triggering environment variable is not set","type":"procedural","confidence":0.85}},{"action":"none","confidence":0.95,"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.","fact":{"content":"All existing safe code paths remain unchanged by the implementation","type":"decision","confidence":0.9}},{"action":"none","confidence":0.95,"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.","fact":{"content":"The implementation introduces no database schema changes","type":"decision","confidence":0.9}},{"action":"add","confidence":0.85,"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.","fact":{"content":"The implementation introduces no API changes","type":"decision","confidence":0.9}}],"writeMode":"phase-c","writeStats":{"added":1,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":1},"warnings":[]}


id: 622d01d6-51d5-435d-8610-af221343c63b
memory_id: 8e5ccd65-f3e6-4c0c-a955-90f624c6531b
job_type: extract
status: completed
leased_at: 2026-02-25T15:47:48.082Z
completed_at: 2026-02-25T15:48:43.790Z
created_at: 2026-02-25T15:13:46.229Z
updated_at: 2026-02-25T15:48:43.790Z
result:
  {"facts":[{"content":"The verification process includes automated build, typecheck, and test suite execution","type":"procedural","confidence":0.95},{"content":"The verification process includes manual testing of hook suppression behavior","type":"procedural","confidence":0.9},{"content":"The verification process includes testing and validation of daemon logging functionality","type":"procedural","confidence":0.85}],"entities":[{"source":"verification process","relationship":"includes","target":"build/typecheck/test validation","confidence":0.95},{"source":"verification process","relationship":"includes","target":"manual testing of hook suppression behavior","confidence":0.9},{"source":"verification process","relationship":"includes","target":"daemon logging validation","confidence":0.85}],"proposals":[{"action":"none","confidence":0.92,"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.","fact":{"content":"The verification process includes automated build, typecheck, and test suite execution","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.95,"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).","fact":{"content":"The verification process includes manual testing of hook suppression behavior","type":"procedural","confidence":0.9}},{"action":"none","confidence":0.9,"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.","fact":{"content":"The verification process includes testing and validation of daemon logging functionality","type":"procedural","confidence":0.85}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 079500d5-5daf-43d5-bc70-223db07033c3
memory_id: 72aec19a-10b9-491b-9e61-ac9d4a80bd67
job_type: extract
status: completed
leased_at: 2026-02-25T15:48:45.792Z
completed_at: 2026-02-25T15:49:46.444Z
created_at: 2026-02-25T15:14:52.585Z
updated_at: 2026-02-25T15:49:46.444Z
result:
  {"facts":[{"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},{"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},{"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}],"entities":[{"source":"Nicholai","relationship":"identified gap between","target":"VISION.md and predictive-memory-scorer.md","confidence":0.95},{"source":"new concepts from technical plans","relationship":"should be elevated to","target":"VISION.md","confidence":0.85},{"source":"predictive-memory-scorer.md","relationship":"potentially misaligned with","target":"VISION.md","confidence":0.8}],"proposals":[{"action":"none","confidence":0.95,"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.","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}},{"action":"none","confidence":0.95,"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.","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}},{"action":"update","targetMemoryId":"72aec19a-10b9-491b-9e61-ac9d4a80bd67","confidence":0.85,"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.","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},"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."}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 9c095479-532b-4820-89e0-aac936ac039c
memory_id: 283b2f70-043a-4b72-860e-182ad56cd122
job_type: extract
status: completed
leased_at: 2026-02-25T15:49:48.446Z
completed_at: 2026-02-25T15:50:32.450Z
created_at: 2026-02-25T15:14:52.597Z
updated_at: 2026-02-25T15:50:32.450Z
result:
  {"facts":[{"content":"Claude identified a significant conceptual gap in reviewed documents relating to learned adaptation","type":"fact","confidence":0.95},{"content":"The identified conceptual gap concerns the topic of learned adaptation","type":"semantic","confidence":0.95}],"entities":[{"source":"Claude","relationship":"identified","target":"conceptual gap","confidence":0.95},{"source":"conceptual gap","relationship":"relates to","target":"learned adaptation","confidence":0.95},{"source":"conceptual gap","relationship":"has property","target":"significant","confidence":0.9}],"proposals":[{"action":"none","confidence":0.98,"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.","fact":{"content":"Claude identified a significant conceptual gap in reviewed documents relating to learned adaptation","type":"fact","confidence":0.95}},{"action":"none","confidence":0.92,"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.","fact":{"content":"The identified conceptual gap concerns the topic of learned adaptation","type":"semantic","confidence":0.95}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: e02fabca-cd25-48cd-9172-c7df0ecf8c23
memory_id: 6f949a22-2af2-4828-81a6-e906f6fc95d0
job_type: extract
status: completed
leased_at: 2026-02-25T15:50:34.452Z
completed_at: 2026-02-25T15:51:58.294Z
created_at: 2026-02-25T15:14:52.612Z
updated_at: 2026-02-25T15:51:58.294Z
result:
  {"facts":[{"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},{"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},{"content":"VISION.md does not explain that Signet's system improves over time by learning from user interaction patterns","type":"fact","confidence":0.8},{"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}],"entities":[{"source":"VISION.md","relationship":"describes as static","target":"memory and coherence capabilities","confidence":0.85},{"source":"VISION.md","relationship":"contains statement","target":"Signet gives agents coherence","confidence":0.95},{"source":"VISION.md","relationship":"contains statement","target":"a mind that persists","confidence":0.95},{"source":"VISION.md","relationship":"lacks explanation of","target":"learning from interaction patterns","confidence":0.8},{"source":"Signet system","relationship":"has undocumented capability","target":"improving over time through learning","confidence":0.75}],"proposals":[{"action":"none","confidence":0.92,"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.","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}},{"action":"none","confidence":0.92,"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.","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}},{"action":"none","confidence":0.95,"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.","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}},{"action":"none","confidence":0.85,"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.","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}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":["Invalid type \"observation\", defaulting to \"fact\"","Invalid type \"gap\", defaulting to \"fact\""]}


id: 0f7f6c53-5976-4b54-aa06-9168a9646ebb
memory_id: c65f5d0c-386c-4320-b4c3-bdc085c587d4
job_type: extract
status: completed
leased_at: 2026-02-25T15:52:00.296Z
completed_at: 2026-02-25T15:52:45.362Z
created_at: 2026-02-25T15:14:52.624Z
updated_at: 2026-02-25T15:52:45.362Z
result:
  {"facts":[{"content":"The Predictive Memory Scorer uses local per-user training instead of centralized training","type":"decision","confidence":0.9},{"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}],"entities":[{"source":"Predictive Memory Scorer","relationship":"uses","target":"local per-user training","confidence":0.9},{"source":"local per-user training","relationship":"enables","target":"personalized memory prediction","confidence":0.9},{"source":"local per-user training","relationship":"enables","target":"adaptation to individual memory-session interaction patterns","confidence":0.9}],"proposals":[{"action":"none","confidence":0.95,"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.","fact":{"content":"The Predictive Memory Scorer uses local per-user training instead of centralized training","type":"decision","confidence":0.9}},{"action":"update","targetMemoryId":"c65f5d0c-386c-4320-b4c3-bdc085c587d4","confidence":0.95,"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.","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},"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"}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 0adda805-db7c-4017-8582-ce21d53c8576
memory_id: 53824992-9cec-4a2e-a64d-107e48294e52
job_type: extract
status: completed
leased_at: 2026-02-25T15:52:47.364Z
completed_at: 2026-02-25T15:54:45.505Z
created_at: 2026-02-25T15:14:52.637Z
updated_at: 2026-02-25T15:54:45.505Z
result:
  {"facts":[{"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},{"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},{"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},{"content":"Signet's user-specific learning model runs entirely on-device without requiring cloud infrastructure or external services","type":"decision","confidence":0.95},{"content":"Signet uses individual model weights per user rather than shared model weights across the user base","type":"decision","confidence":0.95},{"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}],"entities":[{"source":"Signet","relationship":"implements","target":"adaptive learning mechanism for selective memory","confidence":0.95},{"source":"Signet","relationship":"maintains","target":"user-specific ML model","confidence":0.95},{"source":"user-specific ML model","relationship":"trained on","target":"individual user's interaction patterns","confidence":0.95},{"source":"user-specific ML model","relationship":"improves with","target":"extended usage over time","confidence":0.95},{"source":"user-specific ML model","relationship":"runs on","target":"local device (no cloud)","confidence":0.95},{"source":"user-specific ML model","relationship":"uses","target":"individual weights per user","confidence":0.95}],"proposals":[{"action":"none","confidence":0.92,"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.","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}},{"action":"none","confidence":0.95,"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.","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}},{"action":"update","targetMemoryId":"53824992-9cec-4a2e-a64d-107e48294e52","confidence":0.92,"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.","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},"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."},{"action":"none","confidence":0.92,"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.","fact":{"content":"Signet's user-specific learning model runs entirely on-device without requiring cloud infrastructure or external services","type":"decision","confidence":0.95}},{"action":"none","confidence":0.92,"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.","fact":{"content":"Signet uses individual model weights per user rather than shared model weights across the user base","type":"decision","confidence":0.95}},{"action":"update","targetMemoryId":"c65f5d0c-386c-4320-b4c3-bdc085c587d4","confidence":0.85,"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.","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},"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."}],"writeMode":"phase-c","writeStats":{"added":0,"updated":2,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 0aeba862-5c49-4873-856d-f36177e317b0
memory_id: fa08b18e-05cc-4f17-8143-6f8253efbba5
job_type: extract
status: completed
leased_at: 2026-02-25T15:54:47.506Z
completed_at: 2026-02-25T15:56:06.570Z
created_at: 2026-02-25T15:14:52.650Z
updated_at: 2026-02-25T15:56:06.570Z
result:
  {"facts":[{"content":"The capability of running patterns locally reinforces the decentralization thesis documented in VISION.md","type":"semantic","confidence":0.85},{"content":"Running patterns locally is described as a concrete, time-improving capability","type":"fact","confidence":0.9},{"content":"An addition related to running patterns locally was accepted and applied to the codebase","type":"decision","confidence":0.8},{"content":"The decentralization thesis is a core philosophy documented in VISION.md that guides Signetai development decisions","type":"semantic","confidence":0.85}],"entities":[{"source":"patterns running locally","relationship":"reinforces","target":"decentralization thesis","confidence":0.85},{"source":"decentralization thesis","relationship":"documented in","target":"VISION.md","confidence":0.9},{"source":"patterns running locally","relationship":"provides","target":"time improvements","confidence":0.8}],"proposals":[{"action":"update","targetMemoryId":"fa08b18e-05cc-4f17-8143-6f8253efbba5","confidence":0.92,"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.","fact":{"content":"The capability of running patterns locally reinforces the decentralization thesis documented in VISION.md","type":"semantic","confidence":0.85},"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."},{"action":"none","confidence":0.9,"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.","fact":{"content":"Running patterns locally is described as a concrete, time-improving capability","type":"fact","confidence":0.9}},{"action":"none","confidence":0.9,"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.","fact":{"content":"An addition related to running patterns locally was accepted and applied to the codebase","type":"decision","confidence":0.8}},{"action":"update","targetMemoryId":"fa08b18e-05cc-4f17-8143-6f8253efbba5","confidence":0.82,"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.","fact":{"content":"The decentralization thesis is a core philosophy documented in VISION.md that guides Signetai development decisions","type":"semantic","confidence":0.85},"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."}],"writeMode":"phase-c","writeStats":{"added":0,"updated":2,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 2e5e2bf2-8614-4067-8c9f-fd30088fb272
memory_id: 60847383-6490-4667-9374-e11dd78630ee
job_type: extract
status: completed
leased_at: 2026-02-25T15:56:08.571Z
completed_at: 2026-02-25T15:57:23.609Z
created_at: 2026-02-25T15:28:00.047Z
updated_at: 2026-02-25T15:57:23.609Z
result:
  {"facts":[{"content":"Nicholai asked for guidance on which areas of the signetai codebase could benefit from refactoring","type":"fact","confidence":0.95},{"content":"Two parallel exploration agents were spawned instead of beginning refactoring work directly to systematically identify refactoring targets","type":"decision","confidence":0.95},{"content":"The parallel exploration agents were tasked with systematically identifying refactoring targets across the signetai codebase","type":"procedural","confidence":0.9},{"content":"Parallel exploration is the preferred approach for scoping refactoring work rather than diving directly into implementation","type":"preference","confidence":0.85}],"entities":[{"source":"Nicholai","relationship":"requests","target":"refactoring guidance for signetai codebase","confidence":0.95},{"source":"Nicholai","relationship":"spawns","target":"two parallel exploration agents","confidence":0.95},{"source":"exploration agents","relationship":"identify","target":"refactoring targets","confidence":0.9},{"source":"refactoring targets","relationship":"belong_to","target":"signetai codebase","confidence":0.9}],"proposals":[{"action":"none","confidence":0.95,"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.","fact":{"content":"Nicholai asked for guidance on which areas of the signetai codebase could benefit from refactoring","type":"fact","confidence":0.95}},{"action":"none","confidence":0.95,"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.","fact":{"content":"Two parallel exploration agents were spawned instead of beginning refactoring work directly to systematically identify refactoring targets","type":"decision","confidence":0.95}},{"action":"none","confidence":0.95,"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.","fact":{"content":"The parallel exploration agents were tasked with systematically identifying refactoring targets across the signetai codebase","type":"procedural","confidence":0.9}},{"action":"update","targetMemoryId":"60847383-6490-4667-9374-e11dd78630ee","confidence":0.9,"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.","fact":{"content":"Parallel exploration is the preferred approach for scoping refactoring work rather than diving directly into implementation","type":"preference","confidence":0.85},"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."}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: dfc7d791-9759-42ad-a3f2-d31462498c4f
memory_id: f68b7877-1e58-49fc-b488-aeab05340bfd
job_type: extract
status: completed
leased_at: 2026-02-25T15:57:25.611Z
completed_at: 2026-02-25T15:58:49.224Z
created_at: 2026-02-25T15:28:00.065Z
updated_at: 2026-02-25T15:58:49.224Z
result:
  {"facts":[{"content":"An exploration task has been defined to scan the signetai codebase for large files and mixed concerns","type":"procedural","confidence":0.95},{"content":"The exploration scope targets files over 500 lines of code (LOC) as the threshold for large files","type":"procedural","confidence":0.95},{"content":"packages/cli/src/cli.ts is known to contain approximately 4600 lines of code","type":"fact","confidence":0.95},{"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},{"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}],"entities":[{"source":"exploration task","relationship":"targets","target":"files over 500 LOC","confidence":0.95},{"source":"packages/cli/src/cli.ts","relationship":"contains","target":"~4600 lines of code","confidence":0.95},{"source":"exploration scope","relationship":"focuses on","target":"packages/daemon/src/","confidence":0.95},{"source":"exploration scope","relationship":"focuses on","target":"packages/core/src/","confidence":0.95},{"source":"exploration scope","relationship":"focuses on","target":"packages/cli/src/","confidence":0.95}],"proposals":[{"action":"none","confidence":0.95,"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.","fact":{"content":"An exploration task has been defined to scan the signetai codebase for large files and mixed concerns","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.95,"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.","fact":{"content":"The exploration scope targets files over 500 lines of code (LOC) as the threshold for large files","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.98,"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","fact":{"content":"packages/cli/src/cli.ts is known to contain approximately 4600 lines of code","type":"fact","confidence":0.95}},{"action":"none","confidence":0.95,"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.","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}},{"action":"none","confidence":0.92,"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.","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}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 50c38b27-9d43-4291-a6ae-fa135d1b93f5
memory_id: 68063194-c3be-45bb-9b4f-ab01589ef216
job_type: extract
status: completed
leased_at: 2026-02-25T15:58:51.226Z
completed_at: 2026-02-25T16:00:24.041Z
created_at: 2026-02-25T15:28:00.077Z
updated_at: 2026-02-25T16:00:24.041Z
result:
  {"facts":[{"content":"An agent is tasked with detecting TypeScript discipline violations and code duplication in the signetai project","type":"procedural","confidence":0.95},{"content":"The signetai project prohibits `as` type assertions in code (violates TypeScript discipline convention per CLAUDE.md)","type":"decision","confidence":0.95},{"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},{"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},{"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}],"entities":[{"source":"signetai project","relationship":"prohibits","target":"`as` type assertions","confidence":0.95},{"source":"signetai project","relationship":"prohibits","target":"`any` types","confidence":0.95},{"source":"signetai project","relationship":"prohibits","target":"`!` non-null assertions","confidence":0.95},{"source":"TypeScript discipline agent","relationship":"enforces convention from","target":"CLAUDE.md","confidence":0.9},{"source":"`any` types","relationship":"should be replaced with","target":"`unknown` with type narrowing","confidence":0.95},{"source":"`!` non-null assertions","relationship":"should be replaced with","target":"explicit null checks","confidence":0.95}],"proposals":[{"action":"none","confidence":0.92,"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.","fact":{"content":"An agent is tasked with detecting TypeScript discipline violations and code duplication in the signetai project","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.9,"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.","fact":{"content":"The signetai project prohibits `as` type assertions in code (violates TypeScript discipline convention per CLAUDE.md)","type":"decision","confidence":0.95}},{"action":"add","confidence":0.95,"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.","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}},{"action":"add","confidence":0.9,"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.","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}},{"action":"update","targetMemoryId":"68063194-c3be-45bb-9b4f-ab01589ef216","confidence":0.95,"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.","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},"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"}],"writeMode":"phase-c","writeStats":{"added":2,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":2},"warnings":[]}


id: e2eee090-a906-4366-947e-379985f9be74
memory_id: 4ec63b7b-6559-45b3-ad9d-6cd974ca4dd8
job_type: extract
status: completed
leased_at: 2026-02-25T16:00:26.043Z
completed_at: 2026-02-25T16:04:23.801Z
created_at: 2026-02-25T15:28:00.087Z
updated_at: 2026-02-25T16:04:23.801Z
result:
  {"facts":[{"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},{"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},{"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},{"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},{"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},{"content":"SQLite uses runtime detection: bun:sqlite under Bun runtime, better-sqlite3 under Node.js runtime","type":"fact","confidence":0.9},{"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},{"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},{"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},{"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},{"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},{"content":"Dashboard development must use components from shadcn-svelte (https://www.shadcn-svelte.com) rather than custom implementations","type":"procedural","confidence":0.9},{"content":"Connector packages (cli, opencode, openclaw) are idempotent and safe to run install multiple times without side effects","type":"fact","confidence":0.85}],"entities":[{"source":"signetai monorepo","relationship":"contains","target":"packages/core","confidence":0.95},{"source":"signetai monorepo","relationship":"contains","target":"packages/cli","confidence":0.95},{"source":"signetai monorepo","relationship":"contains","target":"packages/daemon","confidence":0.95},{"source":"signetai monorepo","relationship":"contains","target":"packages/sdk","confidence":0.95},{"source":"packages/daemon","relationship":"provides","target":"HTTP API at port 3850","confidence":0.9},{"source":"packages/daemon/src/pipeline","relationship":"implements","target":"memory extraction pipeline","confidence":0.9},{"source":"packages/daemon/src/hooks.ts","relationship":"contains","target":"duplicated logic patterns (fetch, error handling, database queries)","confidence":0.8},{"source":"packages/daemon/src/auth","relationship":"protects","target":"/api/* routes","confidence":0.85},{"source":"packages/core/src/migrations","relationship":"executes on","target":"daemon startup","confidence":0.85},{"source":"development workflow","relationship":"uses","target":"bun package manager","confidence":0.95},{"source":"development workflow","relationship":"uses","target":"Biome linting/formatting","confidence":0.9},{"source":"SQLite database","relationship":"uses runtime detection for","target":"bun:sqlite or better-sqlite3","confidence":0.9},{"source":"LlmProvider interface","relationship":"being migrated from","target":"packages/daemon to packages/core","confidence":0.8}],"proposals":[{"action":"update","targetMemoryId":"1d65c1ff-20da-4715-bcd6-184f2dac9da7","confidence":0.95,"reason":"New fact enriches candidate [3] by adding the ERC-8128 wallet-based signature authentication detail. Candidate [1] becomes redundant after this update.","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},"targetContent":"Signet is an open standard for portable AI agent identity with spec version 0.2.1-draft"},{"action":"none","confidence":0.95,"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.","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}},{"action":"update","targetMemoryId":"4977fe0c-164d-4e63-8acf-8aafce5da87b","confidence":0.92,"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.","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},"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"},{"action":"update","targetMemoryId":"ea79fd89-710d-45bf-b332-8e5568e34743","confidence":0.92,"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.","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},"targetContent":"Signet daemon runs on port 3850 by default"},{"action":"update","targetMemoryId":"2b85243f-4def-4dd5-a537-f5e247242f03","confidence":0.85,"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.","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},"targetContent":"Session tracking enforces the 'plugin' runtime path to prevent concurrent writes and ensure consistency"},{"action":"update","targetMemoryId":"81d6b7cc-be07-4d1d-9526-9dee2b8025f3","confidence":0.9,"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.","fact":{"content":"SQLite uses runtime detection: bun:sqlite under Bun runtime, better-sqlite3 under Node.js runtime","type":"fact","confidence":0.9},"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"},{"action":"add","confidence":0.9,"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.","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}},{"action":"none","confidence":0.92,"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.","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}},{"action":"update","targetMemoryId":"c4b03938-7a70-4e16-9132-8e75558972e6","confidence":0.88,"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.","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},"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"},{"action":"none","confidence":0.95,"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.","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}},{"action":"update","targetMemoryId":"47905083-e8af-4874-b4e1-9045467ec414","confidence":0.88,"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.","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},"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"},{"action":"none","confidence":0.95,"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.","fact":{"content":"Dashboard development must use components from shadcn-svelte (https://www.shadcn-svelte.com) rather than custom implementations","type":"procedural","confidence":0.9}},{"action":"add","confidence":0.92,"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.","fact":{"content":"Connector packages (cli, opencode, openclaw) are idempotent and safe to run install multiple times without side effects","type":"fact","confidence":0.85}}],"writeMode":"phase-c","writeStats":{"added":2,"updated":7,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":2},"warnings":[]}


id: bd2c5945-bf59-4d6a-85b9-06eb4ec8a2fd
memory_id: 2ca59459-1cb3-4144-93dc-ea8522373ac0
job_type: extract
status: completed
leased_at: 2026-02-25T16:04:25.820Z
completed_at: 2026-02-25T16:05:41.862Z
created_at: 2026-02-25T15:28:00.103Z
updated_at: 2026-02-25T16:05:41.862Z
result:
  {"facts":[{"content":"Exploration agents were dispatched to investigate and gather information during the current session","type":"procedural","confidence":0.85},{"content":"The dispatched exploration agents are currently in a waiting state pending results","type":"fact","confidence":0.85},{"content":"No refactoring actions were taken during the current session","type":"decision","confidence":0.9},{"content":"The current session prioritized reconnaissance and prioritization work over implementation or refactoring actions","type":"decision","confidence":0.85}],"entities":[{"source":"Exploration agents","relationship":"were","target":"dispatched","confidence":0.85},{"source":"Exploration agents","relationship":"currently awaiting","target":"results","confidence":0.85},{"source":"session","relationship":"focused on","target":"reconnaissance and prioritization","confidence":0.85},{"source":"session","relationship":"deferred","target":"refactoring actions","confidence":0.9}],"proposals":[{"action":"none","confidence":0.9,"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.","fact":{"content":"Exploration agents were dispatched to investigate and gather information during the current session","type":"procedural","confidence":0.85}},{"action":"none","confidence":0.9,"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.","fact":{"content":"The dispatched exploration agents are currently in a waiting state pending results","type":"fact","confidence":0.85}},{"action":"none","confidence":0.85,"reason":"Candidate 5 already covers this fact with additional context (agents dispatched, reconnaissance focus). The new fact is less comprehensive than the existing memory.","fact":{"content":"No refactoring actions were taken during the current session","type":"decision","confidence":0.9}},{"action":"none","confidence":0.9,"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.","fact":{"content":"The current session prioritized reconnaissance and prioritization work over implementation or refactoring actions","type":"decision","confidence":0.85}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 8d5e7f45-79fe-4b96-982f-fa36b402f25a
memory_id: 0adee576-dfde-4160-ab34-f7172b180c29
job_type: extract
status: completed
leased_at: 2026-02-25T16:05:43.866Z
completed_at: 2026-02-25T16:06:45.715Z
created_at: 2026-02-25T15:28:48.589Z
updated_at: 2026-02-25T16:06:45.715Z
result:
  {"facts":[{"content":"Nicholai requested adding a real-time, interactive visualization of the memory pipeline to the Signet dashboard","type":"decision","confidence":0.95},{"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},{"content":"The requested memory pipeline visualization should display data flowing through extraction workers, database operations, and retention systems","type":"procedural","confidence":0.9}],"entities":[{"source":"Nicholai","relationship":"requested","target":"real-time interactive memory pipeline visualization","confidence":0.95},{"source":"Signet dashboard","relationship":"should feature","target":"memory pipeline visualization","confidence":0.9},{"source":"memory pipeline visualization","relationship":"should display","target":"extraction workers data flow","confidence":0.9},{"source":"memory pipeline visualization","relationship":"should display","target":"database operations","confidence":0.9},{"source":"memory pipeline visualization","relationship":"should display","target":"retention systems","confidence":0.9},{"source":"static diagrams","relationship":"located at","target":"public/memory-loop-v2.jpg and docs/memory-loop.mmd","confidence":0.95}],"proposals":[{"action":"none","confidence":0.95,"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.","fact":{"content":"Nicholai requested adding a real-time, interactive visualization of the memory pipeline to the Signet dashboard","type":"decision","confidence":0.95}},{"action":"update","targetMemoryId":"0adee576-dfde-4160-ab34-f7172b180c29","confidence":0.85,"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","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},"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."},{"action":"none","confidence":0.95,"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.","fact":{"content":"The requested memory pipeline visualization should display data flowing through extraction workers, database operations, and retention systems","type":"procedural","confidence":0.9}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 5326809f-9b65-4d0e-855d-53957dd18dc5
memory_id: db98b006-7618-4bb2-97cc-f22090218ab5
job_type: extract
status: completed
leased_at: 2026-02-25T16:06:47.718Z
completed_at: 2026-02-25T16:07:40.234Z
created_at: 2026-02-25T15:28:48.602Z
updated_at: 2026-02-25T16:07:40.234Z
result:
  {"facts":[{"content":"The dashboard codebase is located at packages/cli/dashboard/ within the @signet/cli package","type":"semantic","confidence":0.9},{"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}],"entities":[{"source":"dashboard","relationship":"located_at","target":"packages/cli/dashboard/","confidence":0.9},{"source":"dashboard","relationship":"part_of","target":"@signet/cli package","confidence":0.9}],"proposals":[{"action":"update","targetMemoryId":"ee72deef-eaeb-4b97-b47c-629cece9f722","confidence":0.95,"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.","fact":{"content":"The dashboard codebase is located at packages/cli/dashboard/ within the @signet/cli package","type":"semantic","confidence":0.9},"targetContent":"Signet dashboard is built with Svelte 5 + Tailwind v4 + bits-ui + CodeMirror 6 + 3d-force-graph as static files served by daemon at /"},{"action":"none","confidence":0.92,"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.","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}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":1,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 458a5561-f801-481a-a75d-36876216e89d
memory_id: aac51630-fa33-48ec-8c6e-6779db4dbd9c
job_type: extract
status: completed
leased_at: 2026-02-25T16:07:42.237Z
completed_at: 2026-02-25T16:09:51.233Z
created_at: 2026-02-25T15:28:48.614Z
updated_at: 2026-02-25T16:09:51.233Z
result:
  {"facts":[{"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},{"content":"The interactive pipeline visualization displays active worker status and job queue state","type":"fact","confidence":0.95},{"content":"The interactive pipeline visualization provides real-time display of data flow between components","type":"fact","confidence":0.95},{"content":"The interactive pipeline visualization displays pipeline metrics and throughput information","type":"fact","confidence":0.95},{"content":"Development exploration included analyzing component patterns to understand visualization design requirements","type":"procedural","confidence":0.85},{"content":"Development exploration included reviewing existing visualization approaches to inform implementation strategy","type":"procedural","confidence":0.85},{"content":"Development exploration included identifying available daemon API endpoints that could power the live pipeline visualization","type":"procedural","confidence":0.85}],"entities":[{"source":"interactive pipeline visualization","relationship":"leverages","target":"Svelte 5","confidence":0.95},{"source":"interactive pipeline visualization","relationship":"leverages","target":"Tailwind v4","confidence":0.95},{"source":"interactive pipeline visualization","relationship":"leverages","target":"bits-ui","confidence":0.95},{"source":"interactive pipeline visualization","relationship":"leverages","target":"3d-force-graph","confidence":0.95},{"source":"interactive pipeline visualization","relationship":"displays","target":"worker status and job queue state","confidence":0.9},{"source":"interactive pipeline visualization","relationship":"displays","target":"data flow between components","confidence":0.9},{"source":"interactive pipeline visualization","relationship":"displays","target":"pipeline metrics and throughput","confidence":0.9},{"source":"daemon API endpoints","relationship":"powers","target":"live pipeline visualization","confidence":0.85}],"proposals":[{"action":"none","confidence":0.95,"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.","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}},{"action":"add","confidence":0.95,"reason":"New fact about pipeline visualization dashboard feature (active worker status and job queue display). No existing memory covers this dashboard capability.","fact":{"content":"The interactive pipeline visualization displays active worker status and job queue state","type":"fact","confidence":0.95}},{"action":"none","confidence":0.88,"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.","fact":{"content":"The interactive pipeline visualization provides real-time display of data flow between components","type":"fact","confidence":0.95}},{"action":"none","confidence":0.95,"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.","fact":{"content":"The interactive pipeline visualization displays pipeline metrics and throughput information","type":"fact","confidence":0.95}},{"action":"none","confidence":0.92,"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.","fact":{"content":"Development exploration included analyzing component patterns to understand visualization design requirements","type":"procedural","confidence":0.85}},{"action":"add","confidence":0.85,"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.","fact":{"content":"Development exploration included reviewing existing visualization approaches to inform implementation strategy","type":"procedural","confidence":0.85}},{"action":"none","confidence":0.95,"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.","fact":{"content":"Development exploration included identifying available daemon API endpoints that could power the live pipeline visualization","type":"procedural","confidence":0.85}}],"writeMode":"phase-c","writeStats":{"added":2,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":2},"warnings":["Invalid type \"specification\", defaulting to \"fact\"","Invalid type \"specification\", defaulting to \"fact\"","Invalid type \"specification\", defaulting to \"fact\""]}


id: 881c4638-e666-431a-b8e4-fd544d899690
memory_id: 1c4e2cdf-b982-498a-ba90-921cfcca24f5
job_type: extract
status: completed
leased_at: 2026-02-25T16:09:53.253Z
completed_at: 2026-02-25T16:10:45.094Z
created_at: 2026-02-25T15:30:33.962Z
updated_at: 2026-02-25T16:10:45.094Z
result:
  {"facts":[{"content":"Nicholai initiated planning for a concrete upstream contribution to the OpenClaw project","type":"decision","confidence":0.95},{"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}],"entities":[{"source":"Nicholai","relationship":"initiated planning for","target":"upstream contribution to OpenClaw","confidence":0.95},{"source":"upstream contribution","relationship":"would improve","target":"OpenClaw's memory pipeline foundation","confidence":0.85},{"source":"Signet","relationship":"has patterns to port to","target":"OpenClaw","confidence":0.85}],"proposals":[{"action":"none","confidence":0.95,"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.","fact":{"content":"Nicholai initiated planning for a concrete upstream contribution to the OpenClaw project","type":"decision","confidence":0.95}},{"action":"none","confidence":0.92,"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.","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}}],"writeMode":"phase-c","writeStats":{"added":0,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":0},"warnings":[]}


id: 34b9da50-db83-4870-bc57-d42f49252d46
memory_id: 15dea7b9-933a-46f5-93ab-a31ff0a5e806
job_type: extract
status: completed
leased_at: 2026-02-25T16:10:47.095Z
completed_at: 2026-02-25T16:12:04.396Z
created_at: 2026-02-25T15:30:33.972Z
updated_at: 2026-02-25T16:12:04.396Z
result:
  {"facts":[{"content":"A session was conducted to understand OpenClaw's architecture and contribution protocols","type":"procedural","confidence":0.95},{"content":"The purpose of studying OpenClaw's architecture and contribution protocols was to enable proposing a high-impact feature","type":"decision","confidence":0.9},{"content":"OpenClaw has documented architecture that can be studied","type":"semantic","confidence":0.9},{"content":"OpenClaw has defined contribution protocols that developers should follow","type":"semantic","confidence":0.9}],"entities":[{"source":"session","relationship":"focused on understanding","target":"OpenClaw's architecture","confidence":0.95},{"source":"session","relationship":"focused on understanding","target":"OpenClaw's contribution protocols","confidence":0.95},{"source":"session","relationship":"aimed to propose","target":"high-impact feature","confidence":0.9},{"source":"architecture and protocols knowledge","relationship":"prerequisite for","target":"proposing features","confidence":0.85}],"proposals":[{"action":"none","confidence":0.95,"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).","fact":{"content":"A session was conducted to understand OpenClaw's architecture and contribution protocols","type":"procedural","confidence":0.95}},{"action":"none","confidence":0.95,"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.","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}},{"action":"add","confidence":0.85,"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.","fact":{"content":"OpenClaw has documented architecture that can be studied","type":"semantic","confidence":0.9}},{"action":"none","confidence":0.85,"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.","fact":{"content":"OpenClaw has defined contribution protocols that developers should follow","type":"semantic","confidence":0.9}}],"writeMode":"phase-c","writeStats":{"added":1,"updated":0,"deleted":0,"deduped":0,"skippedLowConfidence":0,"blockedDestructive":0,"reviewNeeded":0,"embeddingsAdded":1},"warnings":[]}


