# memories

id: b6a97806-b0f6-4fb7-9ffa-66cf421187ed
type: procedural
source_id: 35e7dc9a-70c5-45b4-b0dc-6f7b96208ea1
source_type: chunk
created_at: 2026-02-25T12:15:31.322Z
updated_at: 2026-02-25T12:43:49.436Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-25T12:16:09.301Z
content_hash: 056a1be60e2db63055ebe5d1169f9b3acd2f112cfe56a6cc35477e6bc5136352
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The session exploration scope included investigating animation libraries and motion capabilities available for the site

tags:
[cell repeats an earlier one in this file: 102 characters]

normalized_content:
  the session exploration scope included investigating animation libraries and motion capabilities available for the site


id: 54117e24-119d-4284-93dd-ba7e7bc872b9
type: fact
source_id: 4e8aa8fb-5574-418a-b345-63b85f9ac31f
source_type: chunk
created_at: 2026-02-25T12:15:31.344Z
updated_at: 2026-02-25T12:15:31.344Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-25T12:16:09.301Z
content_hash: daed55c510e42e35c58cffd6abacd6e9683021e09105362eea73d8b356ed8e5a
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Proposed solution: Create a URL-based skill.md file (hosted at signetai.sh/skill.md) that agents can consume via a simple copyable prompt pattern: "Install Signet AI, the open agent memory, identity and secrets system: https://signetai.sh/skill.md" Key clarifications gathered: - Supported installat

tags:
[cell repeats an earlier one in this file: 101 characters]

normalized_content:
  proposed solution: create a url-based skill.md file (hosted at signetai.sh/skill.md) that agents can consume via a simple copyable prompt pattern: "install signet ai, the open agent memory, identity and secrets system: https://signetai.sh/skill.md" key clarifications gathered: - supported installat


id: 820a5af2-369b-4492-8d85-bd6b57af81c1
type: fact
source_id: 4e8aa8fb-5574-418a-b345-63b85f9ac31f
source_type: chunk
created_at: 2026-02-25T12:15:31.344Z
updated_at: 2026-02-25T12:15:31.344Z
updated_by: openclaw-memory
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who: openclaw-memory
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extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  it works, and step-by-step installation - Design for the dumbest possible user interaction pattern No implementation started yet; session focused on requirements gathering and clarification.

tags:
[cell repeats an earlier one in this file: 101 characters]

normalized_content:
  it works, and step-by-step installation - design for the dumbest possible user interaction pattern no implementation started yet; session focused on requirements gathering and clarification


id: f5a35070-430b-42b6-b05a-80709a08dabf
type: fact
source_id: 55b896ab-1fad-4c44-a850-c2c5950574e9
source_type: chunk
created_at: 2026-02-25T12:15:31.405Z
updated_at: 2026-02-25T12:15:31.405Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-25T12:16:09.301Z
content_hash: 5c278f2f4692e1c05ab192bafd0c9ad1ea17256229fb05114fb231e87ead7ab7
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  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.

tags:
[cell repeats an earlier one in this file: 109 characters]

normalized_content:
  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


id: 967b4dca-ef1f-4b54-82be-cdf12e439de0
type: fact
source_type: session_end
tags: openclaw,adapter,architecture
created_at: 2026-02-25T12:16:10.041Z
updated_at: 2026-02-25T12:16:10.041Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 2c502e1a-d626-4098-9e4a-a25293f2716d
last_accessed: 2026-02-25T14:33:41.409Z
extraction_status: none
content:
  The OpenClaw adapter (packages/adapters/openclaw/src/index.ts) implements the Signet plugin API using OpenClaw's register(api) pattern, registering tools via api.registerTool() and lifecycle hooks via api.on()


id: 7d21116d-859b-4ca3-a07e-007cf5c19c60
type: fact
source_type: session_end
tags: openclaw,daemon,http
created_at: 2026-02-25T12:16:10.041Z
updated_at: 2026-02-25T12:16:10.041Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 2c502e1a-d626-4098-9e4a-a25293f2716d
last_accessed: 2026-02-25T13:40:50.531Z
extraction_status: none
content:
  The OpenClaw adapter routes all daemon operations through HTTP to http://localhost:3850 (configurable via daemonUrl in SignetConfig)


id: c1da0009-1c29-4b39-b918-c7f68646cf18
type: fact
source_type: session_end
tags: openclaw,session-tracking,runtime-path
created_at: 2026-02-25T12:16:10.041Z
updated_at: 2026-02-25T12:16:10.041Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 2c502e1a-d626-4098-9e4a-a25293f2716d
last_accessed: 2026-02-25T13:40:50.531Z
extraction_status: none
content:
  The OpenClaw adapter uses 'plugin' as the RUNTIME_PATH constant for session tracking and dedup safety through the daemon's plugin/legacy mutex


id: c2590aaf-1947-4b3e-8e8e-4a46d237579c
type: fact
source_type: session_end
tags: openclaw,hooks,types
created_at: 2026-02-25T12:16:10.041Z
updated_at: 2026-02-25T12:16:10.041Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 2c502e1a-d626-4098-9e4a-a25293f2716d
last_accessed: 2026-02-25T13:12:39.280Z
extraction_status: none
content:
  The OpenClaw adapter implements SessionStartResult, PreCompactionResult, UserPromptSubmitResult, and SessionEndResult interfaces for lifecycle hook integration


id: e4fb1c82-2dd0-4791-9c9c-66b11141afd0
type: procedural
source_id: 10d58d7e-de87-4eb7-9616-29cfbe15d7ba
source_type: chunk
tags: openclaw,memory-log,2026-02-25,2026-02-25-openclaw-plugin-tool-exploration,hierarchical-section
created_at: 2026-02-25T12:16:10.047Z
updated_at: 2026-02-25T15:10:17.808Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-25T12:36:23.867Z
content_hash: 4747bc469b8c9bfaf3285781f59b038c4261618e8e9c52edae378856fd9bda77
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The investigation into the OpenClaw adapter's available tools is incomplete; a full compiled list of available tools has not yet been created

normalized_content:
  the investigation into the openclaw adapter's available tools is incomplete; a full compiled list of available tools has not yet been created


id: 148edc23-9856-44e0-aea2-cbfdc4c31205
type: fact
source_id: 10d58d7e-de87-4eb7-9616-29cfbe15d7ba
source_type: chunk
tags: openclaw,memory-log,2026-02-25,2026-02-25-openclaw-plugin-tool-exploration,hierarchical-section
created_at: 2026-02-25T12:16:10.047Z
updated_at: 2026-02-25T12:16:10.047Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-25T12:36:23.867Z
content_hash: 2da4842c6fe3b1bb9dfc703b5b72960f8873cf2f02d81911bad696a87af7fb78
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Identified key files: `packages/adapters/openclaw/src/index.ts` (main adapter implementation) and `openclaw-types.ts` (type definitions). Started reading the adapter implementation to understand the tool registration mechanism.

normalized_content:
  identified key files: `packages/adapters/openclaw/src/index.ts` (main adapter implementation) and `openclaw-types.ts` (type definitions). started reading the adapter implementation to understand the tool registration mechanism


id: 2b85243f-4def-4dd5-a537-f5e247242f03
type: fact
source_id: 10d58d7e-de87-4eb7-9616-29cfbe15d7ba
source_type: chunk
tags: openclaw,memory-log,2026-02-25,2026-02-25-openclaw-plugin-tool-exploration,hierarchical-section
created_at: 2026-02-25T12:16:10.047Z
updated_at: 2026-02-25T16:04:23.797Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-25T12:16:51.855Z
content_hash: 965cdf759d88fb5b9fcfb936c09a7a8fc2a370ac2ebcb572c7c3188146b4f9d1
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
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

normalized_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


id: 9c31139e-88cf-4ffd-b757-63cedf4e3f9b
type: procedural
source_id: openclaw:2026-02-25-openclaw-plugin-tool-exploration:5970a31b59c136d5
source_type: openclaw-memory-log
tags: openclaw,memory-log,2026-02-25,2026-02-25-openclaw-plugin-tool-exploration,hierarchical-section
created_at: 2026-02-25T12:16:10.160Z
updated_at: 2026-02-25T14:24:02.120Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-25T12:36:23.867Z
content_hash: 156102b42ea77db86d4ac59f621c639f5ef3a17d469cb7636edb1151c0dc555d
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The OpenClaw adapter implements session lifecycle hook integrations for four hook types: SessionStart, UserPromptSubmit, SessionEnd, and PreCompaction

normalized_content:
  the openclaw adapter implements session lifecycle hook integrations for four hook types: sessionstart, userpromptsubmit, sessionend, and precompaction


id: e9661f08-4997-498d-a4cf-267e1b9d9871
type: fact
source_id: openclaw:2026-02-25-session-initialization:a1408e9d92b658bb
source_type: openclaw-memory-log
tags: openclaw,memory-log,2026-02-25,2026-02-25-session-initialization,hierarchical-section
created_at: 2026-02-25T12:16:52.218Z
updated_at: 2026-02-25T12:16:52.218Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-25T12:36:23.867Z
content_hash: 43c4afdbb413852ce0655005dc0ca4e6cbd7ccc009d843b5296479b83075ac24
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  ## Session Initialization Session started in /home/nicholai/signet/signetai on main branch at 2026-02-25T12:16:04.765Z. SessionStart:startup hook executed successfully with memory active and Signet agent system initialized. No active work items were undertaken during this session—this was purely a session initialization event with context loading.

normalized_content:
  ## session initialization session started in /home/nicholai/signet/signetai on main branch at 2026-02-25t12:16:04.765z. sessionstart:startup hook executed successfully with memory active and signet agent system initialized. no active work items were undertaken during this session—this was purely a session initialization event with context loading


id: 93cd65bb-752d-4261-9b6c-2095e69964dc
type: fact
source_type: session_end
tags: openclaw,github,issues
created_at: 2026-02-25T12:36:32.784Z
updated_at: 2026-02-25T12:36:32.784Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 8317c1f8-cdc0-4d5f-8256-b3f6c965d899
last_accessed: 2026-02-25T13:40:50.531Z
extraction_status: none
content:
  Open issues in Signetai are primarily focused on OpenClaw plugin-first migration work, including GA hardening, deprecation gates, testing parity, metrics, and canary controls


id: 20c495b3-68dd-4a13-989b-278de9098f65
type: fact
source_type: session_end
tags: github,operations
created_at: 2026-02-25T12:36:32.784Z
updated_at: 2026-02-25T12:36:32.784Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 8317c1f8-cdc0-4d5f-8256-b3f6c965d899
last_accessed: 2026-02-25T13:12:39.280Z
extraction_status: none
content:
  GitHub issue operations have two distinct modes: closing issues (reversible, standard operation) versus deletion via API (irreversible, requires admin permissions)


id: 707d7eab-f92e-4093-bf66-a8dcd9ab704b
type: issue
source_id: c1f5094c-104d-483a-b994-432cb2dbcb5d
source_type: chunk
tags: openclaw,memory-log,2026-02-25,2026-02-25-github-issue-inventory,hierarchical-section
created_at: 2026-02-25T12:36:32.798Z
updated_at: 2026-02-25T12:36:32.798Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-26 00:08:26
content_hash: d80103bdc39ad1f79d79529b3991a457c71f4c87331fd566d55254b4ea329d1b
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The open issues primarily track work on OpenClaw plugin-first migration, including GA hardening, deprecation gates, testing, metrics, and rollout controls.

normalized_content:
  the open issues primarily track work on openclaw plugin-first migration, including ga hardening, deprecation gates, testing, metrics, and rollout controls


id: 544c71ec-4e2d-44d1-b4ca-7dbb79e2731b
type: issue
source_id: c1f5094c-104d-483a-b994-432cb2dbcb5d
source_type: chunk
tags: openclaw,memory-log,2026-02-25,2026-02-25-github-issue-inventory,hierarchical-section
created_at: 2026-02-25T12:36:32.798Z
updated_at: 2026-02-25T12:36:32.798Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-25T12:39:11.720Z
content_hash: aeadd8d62dc1111b47dd5adc28cb109f938045f690e3eaee1d1b6d1b909e7968
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Before proceeding with deletion, the assistant clarified the distinction between closing issues (standard operation) versus actual deletion (requires admin API permissions and removes issues entirely).

normalized_content:
  before proceeding with deletion, the assistant clarified the distinction between closing issues (standard operation) versus actual deletion (requires admin api permissions and removes issues entirely)


id: 2ba82500-58af-4606-9c4e-e3603683cc30
type: preference
source_id: c1f5094c-104d-483a-b994-432cb2dbcb5d
source_type: chunk
tags: openclaw,memory-log,2026-02-25,2026-02-25-github-issue-inventory,hierarchical-section
created_at: 2026-02-25T12:36:32.798Z
updated_at: 2026-02-25T12:36:32.798Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-25T12:39:11.720Z
content_hash: d4be61efd14c3d33a1c9ba274c778d2285108f8ffed31d182795b459508303f6
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The conversation ended with a clarification request pending user direction on preferred deletion method.

normalized_content:
  the conversation ended with a clarification request pending user direction on preferred deletion method


id: e6722bfc-04dd-4c70-bafa-76751efcf055
type: fact
source_type: session_end
tags: signetai,feedback,session
created_at: 2026-02-25T12:39:13.441Z
updated_at: 2026-02-25T12:39:13.441Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: ef738c6a-0274-4a44-9dba-900a04d0f342
last_accessed: 2026-02-25T13:40:50.531Z
extraction_status: none
content:
  Nicholai started a Claude Code session in /home/nicholai/signet/signetai on 2026-02-25 to review feedback from an agent using Signet and plan fixes


id: 93dbe725-1057-4c7d-9fbe-3d45e03f0c60
type: procedural
source_id: openclaw:2026-02-25-session-start-feedback-review:8177f29243c2c421
source_type: openclaw-memory-log
tags: openclaw,memory-log,2026-02-25,2026-02-25-session-start-feedback-review,hierarchical-section
created_at: 2026-02-25T12:39:13.445Z
updated_at: 2026-02-25T14:31:30.033Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-25T12:47:38.930Z
content_hash: a6f92e1c9c7cb1cd08d80d9dd71a43fc503733641952ba9ad0f43e42a36354dd
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Identified user-facing issues and improvements trigger investigation and implementation planning in signetai

normalized_content:
  identified user-facing issues and improvements trigger investigation and implementation planning in signetai


id: 8417be0f-0458-4c86-ac1a-6ba19d2ac512
type: fact
source_id: f329f44c-e92b-4c29-b662-bcd01b118d75
source_type: pipeline-v2
created_at: 2026-02-25T12:47:49.031Z
updated_at: 2026-02-25T12:47:49.031Z
updated_by: pipeline-v2
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who: pipeline-v2
why: extracted-fact
last_accessed: 2026-02-25T15:00:17.519Z
content_hash: 37fff9ae22d58a4db1b6a0ababe917ba1343ac52c42907f7990734d97d6ebb14
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Pull requests remain valuable for demonstrating community interest and serving as working references for implementation approaches

normalized_content:
  pull requests remain valuable for demonstrating community interest and serving as working references for implementation approaches


id: 689991f3-df2c-4390-b181-cbc677a04dbb
type: fact
source_id: 02c940f2-43f7-47ae-9e17-b69116b096d2
source_type: pipeline-v2
created_at: 2026-02-25T12:58:08.936Z
updated_at: 2026-02-25T15:15:58.595Z
updated_by: pipeline-v2
vector_clock: {}
who: pipeline-v2
why: extracted-fact
last_accessed: 2026-02-25T15:00:17.519Z
content_hash: 26af162fe0b5f61c19a4a6763465af7a458ca27ed94c68e1c18cc6661d3c26a4
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Signet marketing website (signetai-web/) is built with Astro + Starlight and deployed to Cloudflare Pages

normalized_content:
  signet marketing website (signetai-web/) is built with astro + starlight and deployed to cloudflare pages


id: 734c7ca9-8e3d-43f7-9741-71a1ceb48b0f
type: fact
source_id: 3f8018de-b126-4fb1-bc1b-c9bd385a7cfa
source_type: chunk
tags: openclaw,memory-log,2026-02-22,2026-02-22-dashboard-umap-projection-migration,hierarchical-section
created_at: 2026-02-25T13:05:27.242Z
updated_at: 2026-02-25T13:05:27.242Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 885a472525693ceb4bfd1fe7bbe9caa42276ba441a808cd426a79d41b1b5a9f6
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  This reduces client-side computation burden and allows the server to cache expensive layout calculations. Key changes required: 1. **api.ts**: Add `ProjectionNode` and `ProjectionResponse` types, implement `getProjection()` function with polling logic for "computing" status (HTTP 202) 2.

normalized_content:
  this reduces client-side computation burden and allows the server to cache expensive layout calculations. key changes required: 1. **api.ts**: add `projectionnode` and `projectionresponse` types, implement `getprojection()` function with polling logic for "computing" status (http 202) 2


id: 56c2e08f-73bf-4959-bb55-ac571aed8662
type: fact
source_id: 45ad9f93-0b95-4b20-88c8-37b4cae6655d
source_type: chunk
created_at: 2026-02-25T13:05:27.296Z
updated_at: 2026-02-25T13:05:27.296Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 156258bf87befca315ee7a800ada4397de644cc513b1e7ec05389ba8b9546e55
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Adding `migrateFromLegacy()` method to clean up old memory.mjs references from config files 6. Updating `uninstall()` to remove the bundled plugin and call migration cleanup 7. Simplifying `isInstalled()` to just check for `plugins/signet.mjs` existence 8.

tags:
[cell repeats an earlier one in this file: 100 characters]

normalized_content:
  adding `migratefromlegacy()` method to clean up old memory.mjs references from config files 6. updating `uninstall()` to remove the bundled plugin and call migration cleanup 7. simplifying `isinstalled()` to just check for `plugins/signet.mjs` existence 8


id: 0302241a-a6ca-40fc-93c7-5dd7c9404417
type: fact
source_id: 567f0a99-6381-416f-976d-8100e504f1f7
source_type: chunk
created_at: 2026-02-25T13:05:27.313Z
updated_at: 2026-02-25T13:05:27.313Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 9356454fce8a540da16e28191ef5b9cdb54237530308cdc715ea88aad8eae8ec
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  ## Post-Push Auto-Pull Hook Implementation The session began with a plan to eliminate manual `git pull` after pushing to main. The GitHub Actions `release.yml` workflow automatically bumps versions, generates changelogs, and pushes back, leaving the local repo 1 commit behind.

tags:
[cell repeats an earlier one in this file: 102 characters]

normalized_content:
  ## post-push auto-pull hook implementation the session began with a plan to eliminate manual `git pull` after pushing to main. the github actions `release.yml` workflow automatically bumps versions, generates changelogs, and pushes back, leaving the local repo 1 commit behind


id: 45d2876f-0159-4acc-a6c4-f5f790554bcf
type: procedural
source_id: 62378ec1-8432-4b49-b9da-ca75897cd9c9
source_type: chunk
created_at: 2026-02-25T13:05:27.329Z
updated_at: 2026-02-25T14:36:09.791Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: c1dc24f15e8f1fe3cf67e61b9bae00999c1e6d21bac9af0561c27bdc718a2f34
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  ClawHub cache and fetch logic is added to packages/daemon/src/daemon.ts as part of the unified skills search implementation

tags:
[cell repeats an earlier one in this file: 110 characters]

normalized_content:
  clawhub cache and fetch logic is added to packages/daemon/src/daemon.ts as part of the unified skills search implementation


id: 86615703-fc2b-4f7a-b9be-31064c5c736b
type: semantic
source_id: 6cfbd5b3-ea96-4979-a55f-768ab49857e7
source_type: chunk
tags: openclaw,memory-log,2026-02-25,2026-02-25-navigation-redesign-discovery,hierarchical-section
created_at: 2026-02-25T13:05:27.348Z
updated_at: 2026-02-25T14:37:11.841Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 90841da68537ddbdf1012c0893888f34be1b7f66c725a645bd7c17d93f909f57
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The Explore agent is suitable for investigating navigation structure, site architecture, tech stack details, and design aesthetic of existing projects

normalized_content:
  the explore agent is suitable for investigating navigation structure, site architecture, tech stack details, and design aesthetic of existing projects


id: 4788cc98-3e8d-4bd5-8400-8dfb81e10f65
type: preference
source_id: 6c74446f-80d0-44f4-9288-fcf0f8663b58
source_type: chunk
created_at: 2026-02-25T13:05:27.395Z
updated_at: 2026-02-25T14:38:06.813Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 5fb9a16d9ca959778ecec97b1935a1fb56e5755ec660d68c78900f1aefb5fdaa
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Nicholai wants to integrate Steam data including version numbers, release dates, update status, and player counts into his website

tags:
[cell repeats an earlier one in this file: 108 characters]

normalized_content:
  nicholai wants to integrate steam data including version numbers, release dates, update status, and player counts into his website


id: 5bacab7a-918b-4108-aa11-273128d92c55
type: fact
source_id: 1059a8fe-3d5f-4e2e-a1e4-ccf1663d60dd
source_type: chunk
tags: openclaw,memory-log,2026-02-25,2026-02-25-session-start-only-2,hierarchical-section
created_at: 2026-02-25T13:05:27.538Z
updated_at: 2026-02-25T13:05:27.538Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: b5e22500f1405d388c9797a345f2fbe43a3e22eec38e663489b9e825870808e6
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  ## Session Start Only This session was initialized in the oddcore-website project directory. The user invoked the `/mobile-design` skill to evaluate the site's mobile performance and design, requesting suggestions for visual and interactive improvements.

normalized_content:
  ## session start only this session was initialized in the oddcore-website project directory. the user invoked the `/mobile-design` skill to evaluate the site's mobile performance and design, requesting suggestions for visual and interactive improvements


id: 305d14b9-1cd9-40c1-8e64-6514b32464f2
type: issue
source_id: dc992edd-c3b1-4c7e-bf66-2aaf25599dc2
source_type: chunk
created_at: 2026-02-25T13:05:27.558Z
updated_at: 2026-02-25T13:05:27.558Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 7c15e3f61642768ab96851b7962f0ca57ce3771d53682a223ca9e8a217a26ff4
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  ## Oddcore Website Routing & Animation Audit Nicholai requested a comprehensive UI/UX audit of the oddcore-website project, focusing specifically on routing and animation bugs. The session began by spawning an Explore agent to systematically investigate the codebase.

tags:
[cell repeats an earlier one in this file: 102 characters]

normalized_content:
  ## oddcore website routing & animation audit nicholai requested a comprehensive ui/ux audit of the oddcore-website project, focusing specifically on routing and animation bugs. the session began by spawning an explore agent to systematically investigate the codebase


id: 31fde829-2132-4d40-9c5e-c093ef6089ec
type: semantic
source_id: 2c0b4724-10be-4777-b006-d570f30fd786
source_type: pipeline-v2
created_at: 2026-02-25T13:11:00.853Z
updated_at: 2026-02-25T13:11:00.853Z
updated_by: pipeline-v2
vector_clock: {}
who: pipeline-v2
why: extracted-fact
last_accessed: 2026-02-25T15:03:16.659Z
content_hash: 25934af22ae3800691cd71729dd69db9d9b46c8dc89d8b60bc9927a94ae2579a
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Official Astro documentation is the reference standard for verifying correct Astro page router implementation

normalized_content:
  official astro documentation is the reference standard for verifying correct astro page router implementation


id: b98bee95-8111-4201-98fc-5f3d9e57e62c
type: decision
source_type: session_end
tags: config,deduplication,repair
created_at: 2026-02-25T13:12:40.551Z
updated_at: 2026-02-25T13:12:40.551Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: fce030db-ecb3-4512-af24-b7b821fb3903
last_accessed: 2026-02-25T14:50:59.188Z
extraction_status: none
content:
  PipelineRepairConfig in packages/core/src/types.ts extends with dedupCooldownMs (default 600000), dedupHourlyBudget (default 3), dedupSemanticThreshold (default 0.92), and dedupBatchSize (default 100)


id: 5f814df4-ee31-4a28-8075-6bcc9244cce1
type: decision
source_type: session_end
tags: diagnostics,health,deduplication
created_at: 2026-02-25T13:12:40.551Z
updated_at: 2026-02-25T13:12:40.551Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: fce030db-ecb3-4512-af24-b7b821fb3903
last_accessed: 2026-02-25T14:50:59.188Z
extraction_status: none
content:
  DuplicateHealth metric in packages/daemon/src/diagnostics.ts tracks exactDuplicates, exactClusters, totalActive, and duplicateRatio; weighted at 0.04 in composite score (down from storage 0.12→0.10, index 0.17→0.15)


id: 4158df3c-06ef-499d-b198-71cc6e637e05
type: decision
source_type: session_end
tags: deduplication,algorithm,repair-actions
created_at: 2026-02-25T13:12:40.551Z
updated_at: 2026-02-25T13:12:40.551Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: fce030db-ecb3-4512-af24-b7b821fb3903
last_accessed: 2026-02-25T14:50:59.188Z
extraction_status: none
content:
  Keeper selection algorithm in repair-actions.ts scores memories by: importance × 3 (dominates), normalized access_count/50, normalized update_count/20, updated_at recency tiebreaker, +100 for pinned or manual_override


id: 4ed244a3-0c34-4688-a730-f60107c307d6
type: decision
source_type: session_end
tags: deduplication,semantic,repair-actions
created_at: 2026-02-25T13:12:40.551Z
updated_at: 2026-02-25T13:12:40.551Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: fce030db-ecb3-4512-af24-b7b821fb3903
last_accessed: 2026-02-25T14:50:59.188Z
extraction_status: none
content:
  deduplicateMemories() function in repair-actions.ts implements two-phase clustering: (1) exact hash via SQL GROUP BY, (2) semantic via KNN on vec_embeddings only if exact phase doesn't fill batch; semantic phase only runs if semanticEnabled=true


id: 8a5f974a-3400-4ba2-a4fd-d8b539a87367
type: rule
source_type: session_end
tags: deduplication,safety,repair-actions
created_at: 2026-02-25T13:12:40.551Z
updated_at: 2026-02-25T13:12:40.551Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: fce030db-ecb3-4512-af24-b7b821fb3903
extraction_status: none
content:
  Protected memories (pinned=1 or manual_override=1) excluded from dedup clustering queries WHERE clause; double-checked in processCluster before mutations as safety gate


id: 6906ce9c-2af0-456a-809e-7ae2da08fb09
type: decision
source_type: session_end
tags: maintenance,deduplication,pipeline
created_at: 2026-02-25T13:12:40.551Z
updated_at: 2026-02-25T13:12:40.551Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: fce030db-ecb3-4512-af24-b7b821fb3903
extraction_status: none
content:
  maintenance-worker.ts adds dedup recommendation when duplicate ratio exceeds 0.05 (5%); executeRecommendation now async to support async dedup operation


id: cb8d136c-9e1b-4003-9fc5-4cbce43d96c9
type: decision
source_type: session_end
tags: deduplication,tags,repair-actions
created_at: 2026-02-25T13:12:40.551Z
updated_at: 2026-02-25T13:12:40.551Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: fce030db-ecb3-4512-af24-b7b821fb3903
extraction_status: none
content:
  Tag merging in deduplication splits comma-separated strings, dedupes, and rejoins; merged tags written to keeper record


id: f2e3050c-afc1-4db3-873e-585d6ce98ab4
type: rule
source_type: session_end
tags: deduplication,audit,repair-actions
created_at: 2026-02-25T13:12:40.551Z
updated_at: 2026-02-25T13:12:40.551Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: fce030db-ecb3-4512-af24-b7b821fb3903
last_accessed: 2026-02-25T14:33:41.409Z
extraction_status: none
content:
  deduplicateMemories() uses soft-delete only (is_deleted=1, deleted_at=now); generates audit trail via insertHistoryEvent with 'merged' event for keeper and 'deleted' events for losers referencing keeper ID


id: 80d8aa90-59b7-4081-91e2-ee73365ee91d
type: decision
source_type: session_end
tags: daemon,api,deduplication
created_at: 2026-02-25T13:12:40.551Z
updated_at: 2026-02-25T13:12:40.551Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: fce030db-ecb3-4512-af24-b7b821fb3903
extraction_status: none
content:
  HTTP API in daemon.ts exposes GET /api/repair/dedup-stats (returns getDedupStats) and POST /api/repair/deduplicate (accepts batchSize, dryRun, semanticThreshold, semanticEnabled; returns RepairResult + cluster count); 429 on rate-limit


id: ffe59924-c44b-417c-b65c-ffc270564b69
type: rule
source_type: session_end
tags: deduplication,safety,repair-actions
created_at: 2026-02-25T13:12:40.551Z
updated_at: 2026-02-25T13:12:40.551Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: fce030db-ecb3-4512-af24-b7b821fb3903
extraction_status: none
content:
  Deduplication action is idempotent (deleted memories excluded from queries), transactional per cluster (partial failure safe), and policy-gated with checkRepairGate/createRateLimiter; KNN clustering transitive across runs


id: bc3afb94-91be-4f41-97ca-cde891aa475f
type: fact
source_id: 70893e09-cfaa-4abe-8402-5e1448c8afc7
source_type: chunk
created_at: 2026-02-25T13:12:40.557Z
updated_at: 2026-02-25T13:12:40.557Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: c504699597cd8da4c671df7ec0168184b98f5c627b9172b7af9f2074afc4feda
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  ## Backwards Deduplication Pass Planning Nicholai reviewed and approved a detailed implementation plan for adding retroactive deduplication to the memory pipeline.

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-backwards-deduplication-pass-planning,hierarchical-section

normalized_content:
  ## backwards deduplication pass planning nicholai reviewed and approved a detailed implementation plan for adding retroactive deduplication to the memory pipeline


id: 11f0a217-e912-47c4-9aef-fe9ac1f9164b
type: rationale
source_id: 70893e09-cfaa-4abe-8402-5e1448c8afc7
source_type: chunk
created_at: 2026-02-25T13:12:40.557Z
updated_at: 2026-02-25T14:42:51.380Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: ff49eed507c4dbd923d9b7cd99cac4a9b640193d274f5f0919baff1cbff5f973
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Exact duplicates in the memory system are prevented only at write time via content_hash uniqueness constraints, not retroactively on existing legacy data

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-backwards-deduplication-pass-planning,hierarchical-section

normalized_content:
  exact duplicates in the memory system are prevented only at write time via content_hash uniqueness constraints, not retroactively on existing legacy data


id: 6082e780-206a-41cf-a11c-d93d8610cc47
type: decision
source_id: 70893e09-cfaa-4abe-8402-5e1448c8afc7
source_type: chunk
created_at: 2026-02-25T13:12:40.557Z
updated_at: 2026-02-25T14:44:09.292Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 0c66ee6dd7239af9a3c93850268e2fb2c4ea07327a15f8491a498b9226d5abac
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Phase 2 of the repair action is marked as optional, allowing users to skip semantic clustering refinement if computational resources are constrained

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-backwards-deduplication-pass-planning,hierarchical-section

normalized_content:
  phase 2 of the repair action is marked as optional, allowing users to skip semantic clustering refinement if computational resources are constrained


id: 437a05ac-992b-48ec-8913-7285e0d8b0b4
type: procedural
source_id: 70893e09-cfaa-4abe-8402-5e1448c8afc7
source_type: chunk
created_at: 2026-02-25T13:12:40.557Z
updated_at: 2026-02-25T14:45:39.324Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 8a5b3556774875fdc27f597a2af16ac9f1737445257b15f1910484583d1c2354
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  All memory changes are tracked with full audit trails for accountability, debugging, and recovery purposes

tags:
[cell repeats an earlier one in this file: 100 characters]

normalized_content:
  all memory changes are tracked with full audit trails for accountability, debugging, and recovery purposes


id: bd3d29a1-cfa9-4e13-84b6-5c53294fe4e7
type: fact
source_id: 70893e09-cfaa-4abe-8402-5e1448c8afc7
source_type: chunk
created_at: 2026-02-25T13:12:40.557Z
updated_at: 2026-02-25T13:12:40.557Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 0ef21553896378cfd6c4221df881c265aa7aa5b8d6f04fcfc8b23e728bb3d362
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Configuration adds four new fields to PipelineRepairConfig (cooldown, hourly budget, semantic threshold 0.92, batch size 100). Diagnostics gains a DuplicateHealth metric tracking excess dupes and duplicate ratio, wired into the composite health score at 0.04 weight.

tags:
[cell repeats an earlier one in this file: 100 characters]

normalized_content:
  configuration adds four new fields to pipelinerepairconfig (cooldown, hourly budget, semantic threshold 0.92, batch size 100). diagnostics gains a duplicatehealth metric tracking excess dupes and duplicate ratio, wired into the composite health score at 0.04 weight


id: e24fbd92-7970-43f2-8530-da2b0bf70e3d
type: fact
source_id: 70893e09-cfaa-4abe-8402-5e1448c8afc7
source_type: chunk
created_at: 2026-02-25T13:12:40.557Z
updated_at: 2026-02-25T13:12:40.557Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 6f4e9ac8ba59a8dc4742d52b4f2a7e1a8ab33daaf68068f94c172ca2a2fc77cb
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Maintenance worker adds dedup recommendations when duplicate ratio exceeds 5%. Two HTTP endpoints expose stats and execution (GET/POST `/api/repair/dedup-stats` and `/api/repair/deduplicate`). All repair operations are rate-limited, policy-gated, idempotent, and transactional per cluster.

tags:
[cell repeats an earlier one in this file: 100 characters]

normalized_content:
  maintenance worker adds dedup recommendations when duplicate ratio exceeds 5%. two http endpoints expose stats and execution (get/post `/api/repair/dedup-stats` and `/api/repair/deduplicate`). all repair operations are rate-limited, policy-gated, idempotent, and transactional per cluster


id: 746c6baf-7f55-434b-8527-80bf07d781fb
type: semantic
source_id: 70893e09-cfaa-4abe-8402-5e1448c8afc7
source_type: chunk
created_at: 2026-02-25T13:12:40.557Z
updated_at: 2026-02-25T14:48:42.837Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: a531c65ba462434b89c0562317ce4bccca5add05538a779d04713bf90221142f
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  A dry-run mode allows users to preview the results or effects of an operation before executing it permanently

tags:
[cell repeats an earlier one in this file: 100 characters]

normalized_content:
  a dry-run mode allows users to preview the results or effects of an operation before executing it permanently


id: 1094dfbb-43e4-49ee-9bdd-25590fd4b66b
type: decision
source_id: 5d92cc10-60b5-4a5e-87fe-1c00f9d392de
source_type: pipeline-v2
created_at: 2026-02-25T13:15:16.194Z
updated_at: 2026-02-25T13:15:16.194Z
updated_by: pipeline-v2
vector_clock: {}
who: pipeline-v2
why: extracted-fact
last_accessed: 2026-02-25T15:00:17.519Z
content_hash: 8b9a00200945d2cdf44109ec92b1aafc7130d112b1e1e38f83f2b1c479308fa0
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Silent memory insert failures currently have no logging and should have warn-level error logging added for improved observability and debugging

normalized_content:
  silent memory insert failures currently have no logging and should have warn-level error logging added for improved observability and debugging


id: d17feddb-af60-4100-9342-ab7827e007db
type: fact
source_type: session_end
tags: core,types,llm-provider,interface
created_at: 2026-02-25T13:16:26.131Z
updated_at: 2026-02-25T13:16:26.131Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 453caed0-751f-45ec-bf6f-d9f4282f4eeb
extraction_status: none
content:
  The LlmProvider interface in packages/core/src/types.ts defines a provider contract with methods: generate(prompt, opts?) → Promise<string>, available() → Promise<boolean>, and a readonly name property


id: e793a6e1-4833-4d62-88a3-fbb9336ffa13
type: decision
source_id: 4650243e-bc33-46df-a317-6d29ea56255b
source_type: chunk
tags: openclaw,memory-log,2026-02-25,2026-02-25-bug-hunt-session-initiated,hierarchical-section
created_at: 2026-02-25T13:16:26.135Z
updated_at: 2026-02-25T14:49:19.674Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 05f585a45eddb0ae22cfb34cb993976aa089df3de952f583a29ef0a95d972523
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The bug hunt prioritizes issues that break core functionality over other improvements or technical debt

normalized_content:
  the bug hunt prioritizes issues that break core functionality over other improvements or technical debt


id: 707d00b0-b7ab-4f2f-9fac-db604e1e53b3
type: issue
source_id: 4650243e-bc33-46df-a317-6d29ea56255b
source_type: chunk
tags: openclaw,memory-log,2026-02-25,2026-02-25-bug-hunt-session-initiated,hierarchical-section
created_at: 2026-02-25T13:16:26.135Z
updated_at: 2026-02-25T13:16:26.135Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: ccf863f899fa70138eee73740f49142acbe71b02775cf063d289eadf2a616ed0
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  No specific bugs were identified or fixed during this short session window—exploration was just beginning when the conversation ended.

normalized_content:
  no specific bugs were identified or fixed during this short session window—exploration was just beginning when the conversation ended


id: 423440cd-6f76-490e-b572-fb64125fceb9
type: fact
source_type: session_end
tags: openclaw,adapter,path
created_at: 2026-02-25T13:41:04.803Z
updated_at: 2026-02-25T13:41:04.803Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 823d8d4e-ffc5-442b-981e-0009d155e885
last_accessed: 2026-02-25T14:50:59.188Z
extraction_status: none
content:
  OpenClaw adapter code is located at packages/adapters/openclaw/src/ and implements the runtime plugin interface for executing agents


id: dbdedcd8-09ae-4b79-a165-f599e4561247
type: fact
source_type: session_end
tags: openclaw,connector,path
created_at: 2026-02-25T13:41:04.803Z
updated_at: 2026-02-25T13:41:04.803Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 823d8d4e-ffc5-442b-981e-0009d155e885
last_accessed: 2026-02-25T14:50:59.188Z
extraction_status: none
content:
  OpenClaw connector code is located at packages/connector-openclaw/src/ and handles install-time integration with OpenClaw config


id: 5e090c94-2fbd-4ab3-92cb-cf6ae2a860ac
type: fact
source_type: session_end
tags: daemon,hooks,context-assembly
created_at: 2026-02-25T13:41:04.803Z
updated_at: 2026-02-25T13:41:04.803Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 823d8d4e-ffc5-442b-981e-0009d155e885
last_accessed: 2026-02-25T14:50:59.188Z
extraction_status: none
content:
  Daemon hook handlers in packages/daemon/src/ are responsible for assembling and returning context payloads to agents on session start


id: 2f5a0da2-40ed-49d3-94d8-3cb3538b6fee
type: issue
source_type: session_end
tags: openclaw,context-overflow,issue
created_at: 2026-02-25T13:41:04.803Z
updated_at: 2026-02-25T13:41:04.803Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 823d8d4e-ffc5-442b-981e-0009d155e885
last_accessed: 2026-02-25T14:50:59.188Z
extraction_status: none
content:
  Context overflow in OpenClaw agents can be caused by unbounded memory injection, missing size limits, or truncation logic in hook response payloads


id: 1ea0aaaf-12ce-47c5-b8c9-62bbf0da590f
type: learning
source_type: session_end
tags: openclaw,memory-injection,context
created_at: 2026-02-25T13:41:04.803Z
updated_at: 2026-02-25T13:41:04.803Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 823d8d4e-ffc5-442b-981e-0009d155e885
last_accessed: 2026-02-25T14:50:59.188Z
extraction_status: none
content:
  Memory formatting and count in agent context needs investigation for potential overflow sources in OpenClaw/ClawdBot environments


id: a3e9543a-a87d-4b12-ae27-9cc683be8d4e
type: issue
source_id: openclaw:2026-02-25-openclaw-context-overflow-investigation:d1f8fc3e46f42ceb
source_type: openclaw-memory-log
created_at: 2026-02-25T13:41:04.814Z
updated_at: 2026-02-25T13:41:04.814Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 5ffc56ece7644c1a97be27d067148863c2cda404f20458ea2d6044796ea11a8b
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  ## OpenClaw Context Overflow Investigation Nicholai initiated an investigation into context overflow issues affecting agents running on OpenClaw/ClawdBot. The session focused on tracing how context is assembled and delivered to agents through the Signet daemon.

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-openclaw-context-overflow-investigation,hierarchical-section

normalized_content:
  ## openclaw context overflow investigation nicholai initiated an investigation into context overflow issues affecting agents running on openclaw/clawdbot. the session focused on tracing how context is assembled and delivered to agents through the signet daemon


id: 88a1d274-2a8f-43d5-b817-d259fef86252
type: fact
source_id: openclaw:2026-02-25-openclaw-context-overflow-investigation:797c6e9ebbf4c404
source_type: openclaw-memory-log
created_at: 2026-02-25T13:41:04.846Z
updated_at: 2026-02-25T13:41:04.846Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 4b2c22db1b7c6a78801c5d801fd599eec004a9e7807f8c85f214cdf252f6cb8f
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  ## Investigation Scope Three primary code paths were identified for investigation: 1. **OpenClaw Adapter** (`packages/adapters/openclaw/src/`) — Runtime plugin that handles agent execution 2. **OpenClaw Connector** (`packages/connector-openclaw/src/`) — Install-time connector that integrates with OpenClaw config 3. **Daemon Hook Handlers** (`packages/daemon/src/`) — Session start and synthesis hooks that assemble context payloads

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-openclaw-context-overflow-investigation,hierarchical-section

normalized_content:
  ## investigation scope three primary code paths were identified for investigation: 1. **openclaw adapter** (`packages/adapters/openclaw/src/`) — runtime plugin that handles agent execution 2. **openclaw connector** (`packages/connector-openclaw/src/`) — install-time connector that integrates with openclaw config 3. **daemon hook handlers** (`packages/daemon/src/`) — session start and synthesis hooks that assemble context payloads


id: d59315a1-2535-4fe3-9562-f8fa5253019a
type: fact
source_id: openclaw:2026-02-25-openclaw-context-overflow-investigation:fe93ed5bfb5e71b2
source_type: openclaw-memory-log
created_at: 2026-02-25T13:41:04.878Z
updated_at: 2026-02-25T13:41:04.878Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 7a3b7c1beab7fef059f470af56e582371109c2a06f7ff00aa19c884fbf69d52e
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  ## Investigation Areas The exploration targeted: - Memory injection into agent context (what data, how formatted) - Size limits and truncation logic - Session start hook response payloads - Unbounded data sources that could grow without limit

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-openclaw-context-overflow-investigation,hierarchical-section

normalized_content:
  ## investigation areas the exploration targeted: - memory injection into agent context (what data, how formatted) - size limits and truncation logic - session start hook response payloads - unbounded data sources that could grow without limit


id: ed03876d-899a-42e2-9144-c06854dbf027
type: procedural
source_id: openclaw:2026-02-25-openclaw-context-overflow-investigation:98ed20e8e6fc90ec
source_type: openclaw-memory-log
created_at: 2026-02-25T13:41:04.907Z
updated_at: 2026-02-25T14:53:48.602Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 59c57386378053540ae07f4ef1988fb06b93c256a204eb4ff2974b5d117319d2
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  An investigation examined session start hook response payloads as a potential source of context issues

tags:
[cell repeats an earlier one in this file: 102 characters]

normalized_content:
  an investigation examined session start hook response payloads as a potential source of context issues


id: 7cf845d1-f60d-478d-9eb4-d497c6630247
type: procedural
source_id: 4020bd76-93d6-4262-97aa-27f9f067ed51
source_type: pipeline-v2
created_at: 2026-02-25T13:55:16.117Z
updated_at: 2026-02-25T13:55:16.117Z
updated_by: pipeline-v2
vector_clock: {}
who: pipeline-v2
why: extracted-fact
last_accessed: 2026-02-25T15:03:16.659Z
content_hash: 8bcc1e18af4bd3a919f8b64c952461983713de4a37c28017aeeaf57892048cc5
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The CLAUDE.md audit verified accuracy of dashboard tech stack documentation and development command completeness

normalized_content:
  the claude.md audit verified accuracy of dashboard tech stack documentation and development command completeness


id: d20a40dd-9b03-4977-bbae-48bdd7bc2fb7
type: procedural
source_id: a83d1700-0f62-4715-af3f-c5ff0e44c637
source_type: pipeline-v2
created_at: 2026-02-25T13:58:33.799Z
updated_at: 2026-02-25T13:58:33.799Z
updated_by: pipeline-v2
vector_clock: {}
who: pipeline-v2
why: extracted-fact
last_accessed: 2026-02-25T15:03:16.659Z
content_hash: 504e3a33e193f38b34d8880a8a076a34ed2f052d2fc200270d69c9012282cd38
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Each agent session requires reconstructing personal identity and continuity from context files and conversation history at startup

normalized_content:
  each agent session requires reconstructing personal identity and continuity from context files and conversation history at startup


id: 3b256c85-c388-460e-b842-af2d494a64d9
type: rule
source_type: manual
tags: svelte,gotcha,dashboard
created_at: 2026-02-25T14:21:20.962Z
updated_at: 2026-02-25T14:21:20.962Z
updated_by: claude-code
vector_clock: {}
who: claude-code
why: explicit
last_accessed: 2026-02-25T14:51:23.347Z
content_hash: 2492341068d20ae36e37334425b6d604d2c96dda3ec1ed747207c843bfc95807
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Svelte 5 prop names must not conflict with rune names -- naming a prop 'state' causes rune collision (store_rune_conflict). Rename to nodeState or similar.

normalized_content:
  svelte 5 prop names must not conflict with rune names -- naming a prop 'state' causes rune collision (store_rune_conflict). rename to nodestate or similar


id: ea79fd89-710d-45bf-b332-8e5568e34743
type: procedural
source_id: 2b85243f-4def-4dd5-a537-f5e247242f03
source_type: pipeline-v2
created_at: 2026-02-25T14:22:52.365Z
updated_at: 2026-02-25T16:04:23.797Z
updated_by: pipeline-v2
vector_clock: {}
who: pipeline-v2
why: extracted-fact
last_accessed: 2026-02-25T15:03:16.659Z
content_hash: 0aaf9de6b0c2370e9442b753e8bfeb12316b94a75ba2108d2dcf2ca0c4e9144a
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
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

normalized_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


id: 624d7f82-b684-49de-8189-0e758f6bbf97
type: issue
source_id: be6dd3af-8486-4d66-80c1-0241dfafd496
source_type: chunk
tags: openclaw,memory-log,2026-02-25,2026-02-25-github-issue-inventory,hierarchical-section
created_at: 2026-02-25T14:33:06.540Z
updated_at: 2026-02-25T14:33:06.540Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: bd91429c170ca0a2e1ef7621c1458e758315204a260e3740f90879a7dd3f3cd8
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  ## 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).

normalized_content:
  ## 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)


id: af3f55df-fd04-444b-982e-3151676e9f63
type: fact
source_id: d32da876-7e73-4d25-b845-8934b7a90225
source_type: chunk
tags: openclaw,memory-log,2026-02-22,2026-02-22-umap-performance-refactoring-setup,hierarchical-section
created_at: 2026-02-25T14:33:06.757Z
updated_at: 2026-02-25T14:33:06.757Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 683f4245d30f44c4fc4935225b6c43eb712390103817ff26b7aa74d747d2b78a
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  This requires understanding the db-accessor pattern with getDbAccessor().withReadDb() and withWriteDb() methods, along with blob-to-vector conversions used elsewhere in daemon.ts. Planned endpoint location: immediately after /api/embeddings/status in daemon.ts.

normalized_content:
  this requires understanding the db-accessor pattern with getdbaccessor().withreaddb() and withwritedb() methods, along with blob-to-vector conversions used elsewhere in daemon.ts. planned endpoint location: immediately after /api/embeddings/status in daemon.ts


id: 84a27117-44e7-4d7d-906c-ad02908412f2
type: fact
source_id: 74ff6318-8695-4725-9409-b38237e22779
source_type: chunk
created_at: 2026-02-25T14:33:06.806Z
updated_at: 2026-02-25T14:33:06.806Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 503d1aa703061c786b854bb6a8c9f669dcf8d4f2461cbc1e9b53b9462601ad23
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  **PDF parser typing**: Remove `as any` by defining interfaces for pdf-parse v2 API 4. **Non-null assertions**: Replace `!` with explicit guards in slack-parser.ts 5. **Error logging**: Add warn-level logging for silent memory insert failures 6.

tags:
[cell repeats an earlier one in this file: 102 characters]

normalized_content:
  **pdf parser typing**: remove `as any` by defining interfaces for pdf-parse v2 api 4. **non-null assertions**: replace `!` with explicit guards in slack-parser.ts 5. **error logging**: add warn-level logging for silent memory insert failures 6


id: 0f98f026-5080-4512-82f1-4a4d7231277a
type: decision
source_id: efb17216-f6f0-44d0-8c24-3755bb98c8e0
source_type: chunk
created_at: 2026-02-25T14:33:06.857Z
updated_at: 2026-02-25T14:59:57.817Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 50b9676744611f0a41bb44f75559e207b231b6e7faadda2d329ca5eeab1731d6
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Codebase structure analysis is a prerequisite step before Compass refactoring strategy can be planned

tags:
[cell repeats an earlier one in this file: 104 characters]

normalized_content:
  codebase structure analysis is a prerequisite step before compass refactoring strategy can be planned


id: e934c5c9-488e-45d5-9cc0-2b14fb3b6a59
type: fact
source_id: 18262284-a3b9-4a1b-b6e9-2c28714373b7
source_type: chunk
tags: openclaw,memory-log,2026-02-22,2026-02-22-openclaw-troubleshooting,hierarchical-section
created_at: 2026-02-25T14:33:06.890Z
updated_at: 2026-02-25T14:33:06.890Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 637a927d8e3ef2e3c7bdc000d419874576267f48bb8a4403d597ba5eae8800cb
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The session was interrupted during the diagnostic phase before root cause analysis or remediation steps were completed.

normalized_content:
  the session was interrupted during the diagnostic phase before root cause analysis or remediation steps were completed


id: e5f3cbed-79c5-418c-891c-f6df3065bb2d
type: fact
source_id: cc29498d-da4e-4710-9a4e-0c9449354a9d
source_type: chunk
tags: openclaw,memory-log,2026-02-24,2026-02-24-asset-directory-investigation,hierarchical-section
created_at: 2026-02-25T14:33:06.935Z
updated_at: 2026-02-25T14:33:06.935Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: aebbc15ae92f56f6ccdec129584fefd89b588d7e6fcb14ff46867df99374dd4d
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  ## Directory Contents The @ODDCORP/ directory contains core branding materials: - SVGs/ subdirectory (vector graphics) - font/ subdirectory (typography assets) - WEBSITE_assets.docx (8.8K design document) The @ODDCORE Press Kit/ directory contains extensive game marketing materials (27MB total): -

normalized_content:
  ## directory contents the @oddcorp/ directory contains core branding materials: - svgs/ subdirectory (vector graphics) - font/ subdirectory (typography assets) - website_assets.docx (8.8k design document) the @oddcore press kit/ directory contains extensive game marketing materials (27mb total): -


id: 5159c258-c718-47f2-ae22-eff0788f01ed
type: fact
source_id: 587bcc4d-c385-4297-92c8-77e1509d528e
source_type: chunk
created_at: 2026-02-25T14:33:06.967Z
updated_at: 2026-02-25T14:33:06.967Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: a78d7fa0b0c5a67e07593d0cb77bd7737170961181109b110915270c7db7da24
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Beta testers' OpenClaw agents were manually embedding entire files (10K-100K+ chars) as single memories, bloating the database and demolishing context windows on recall.

tags:
[cell repeats an earlier one in this file: 108 characters]

normalized_content:
  beta testers' openclaw agents were manually embedding entire files (10k-100k+ chars) as single memories, bloating the database and demolishing context windows on recall


id: fc57533d-fa0d-4b89-adfb-16b1195dacac
type: fact
source_id: 29769164-1a70-454d-a7a2-f8be00aadb86
source_type: chunk
created_at: 2026-02-25T14:33:07.006Z
updated_at: 2026-02-25T14:33:07.006Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 4e019c4c9458bce4d9673d1929e538a15cb6f04f56462e9405413d6b97eb539c
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  It initializes visibility state synchronously from sessionStorage (checking 'oddcorp-loader-seen') to avoid showing the overlay on repeat visits.

tags:
[cell repeats an earlier one in this file: 103 characters]

normalized_content:
  it initializes visibility state synchronously from sessionstorage (checking 'oddcorp-loader-seen') to avoid showing the overlay on repeat visits


id: edf62f2b-8865-47d5-8155-5de7802a45f5
type: fact
source_id: 2e23b1ec-0078-4462-9291-7456b8fddca7
source_type: chunk
tags: openclaw,memory-log,2026-02-25,2026-02-25-openclaw-plugin-tool-exploration,hierarchical-section
created_at: 2026-02-25T14:33:07.100Z
updated_at: 2026-02-25T14:33:07.100Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 97e064f6ca2e43da5e6ef4e3f0b6857e6b038ec34fe21652b04423c06db8b47c
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  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.

normalized_content:
  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


id: 25fb4e37-02b4-4175-a8ad-ea05c84289b2
type: procedural
source_id: 5e09671b-f32e-4134-9bbe-e74903feecc4
source_type: chunk
tags: openclaw,memory-log,2026-02-25,2026-02-25-portfolio-website-skill-creation,hierarchical-section
created_at: 2026-02-25T14:33:07.145Z
updated_at: 2026-02-25T15:04:53.269Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: c097ccf114fd645894f3c07dc0061bdaa6b1ec078dd9c929016641fcc611828d
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Subagents reviewing oddcore-website extract procedural knowledge, design patterns, component conventions, and best practices

normalized_content:
  subagents reviewing oddcore-website extract procedural knowledge, design patterns, component conventions, and best practices


id: ec86ffbc-6188-4a10-89dc-bffb12367318
type: fact
source_id: c1f52ad0-6784-43d2-b654-8453f5a1b4f6
source_type: chunk
tags: openclaw,memory-log,2026-02-25,2026-02-25-session-start-only-2,hierarchical-section
created_at: 2026-02-25T14:33:07.174Z
updated_at: 2026-02-25T14:33:07.174Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 6a6d8b6b2004dae994dae5e9edc72d98d2138cc99d2aa0a3da1342336f819a66
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  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.

normalized_content:
  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


id: 2cfa03ac-f1b0-4d17-9410-7ae1c0e29c62
type: procedural
source_id: 36c9c6d8-d9fc-4cdb-bb6c-8892ab537a04
source_type: chunk
tags: openclaw,memory-log,2026-02-23,2026-02-23-dashboard-ui-component-standards,hierarchical-section
created_at: 2026-02-25T14:33:07.211Z
updated_at: 2026-02-25T15:07:22.391Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-25T14:33:44.738Z
content_hash: 3455049691277b450f65856b02c07d737a43d4753fb53f04f2eff3d228ec6fc3
extraction_status: completed
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content:
  The component selection guidance specifies that shadcn-svelte alternatives should be preferred over custom implementations

normalized_content:
  the component selection guidance specifies that shadcn-svelte alternatives should be preferred over custom implementations


id: ce42d4e2-99a2-44e9-9b76-73e63666972c
type: fact
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tags: openclaw,memory-log,2026-02-25,2026-02-25-session-initialization-2,hierarchical-section
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updated_at: 2026-02-25T14:33:48.998Z
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who: openclaw-memory
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embedding_model: nomic-embed-text
extraction_model: haiku
content:
  ## Session Initialization Session started at 14:31 UTC in the signetai repository (main branch). User context was loaded from Signet memory system including agent identity, project configuration, and active project status. No code work or decisions were made during this session window.

normalized_content:
  ## session initialization session started at 14:31 utc in the signetai repository (main branch). user context was loaded from signet memory system including agent identity, project configuration, and active project status. no code work or decisions were made during this session window


id: f11b66de-65f6-43ac-80bf-5c92a966e30a
type: fact
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tags: openclaw,memory-log,2026-02-25,2026-02-25-session-initialization-2,hierarchical-section
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extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  This appears to be a session startup event only, with system-reminder context delivered via the SessionStart:startup hook.

normalized_content:
  this appears to be a session startup event only, with system-reminder context delivered via the sessionstart:startup hook


id: b535cb36-8c00-4662-baea-502a3604cb5e
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source_id: acc552f7-f239-4e06-8815-59421080ba79
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tags: openclaw,memory-log,2026-02-25,2026-02-25-session-initialization-2,hierarchical-section
created_at: 2026-02-25T14:33:48.998Z
updated_at: 2026-02-25T14:33:48.998Z
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extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Active project status remains unchanged: - Ingest Pipeline Refactoring in progress at packages/core/src/ingest/ - Dashboard development active at packages/cli/dashboard using Svelte 5 + Tailwind v4

normalized_content:
  active project status remains unchanged: - ingest pipeline refactoring in progress at packages/core/src/ingest/ - dashboard development active at packages/cli/dashboard using svelte 5 + tailwind v4


id: c0726853-6850-46a5-a0c5-a359637ce81f
type: decision
source_type: session_end
tags: signetai,architecture,ingest,refactoring
created_at: 2026-02-25T14:36:24.421Z
updated_at: 2026-02-25T14:36:24.421Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 1b9e9d1b-21ad-4156-a9fa-4ece57ab5137
last_accessed: 2026-02-25T15:11:32.427Z
extraction_status: none
content:
  Signetai ingest pipeline refactoring is ongoing at packages/core/src/ingest/; next steps include creating git-utils.ts and chat-utils.ts, refactoring ollama-client.ts to response-parser.ts, and migrating LlmProvider interface from daemon to core


id: 6a01e136-d4f0-409e-acb6-5e66b3591241
type: fact
source_type: session_end
tags: signetai,protonmail,mcp,configuration
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who: claude-code
project: /home/nicholai/signet/signetai
session_id: 1b9e9d1b-21ad-4156-a9fa-4ece57ab5137
last_accessed: 2026-02-25T15:11:32.427Z
extraction_status: none
content:
  Proton Bridge (v3.22.0) is installed and configured with MCP server integration; credentials stored in Signet secrets; uses ports 1143/1025


id: 1d451b53-30fe-465d-b82b-1fd0d0cd43e7
type: rule
source_type: session_end
tags: signetai,configuration,directory-structure
created_at: 2026-02-25T14:36:24.421Z
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who: claude-code
project: /home/nicholai/signet/signetai
session_id: 1b9e9d1b-21ad-4156-a9fa-4ece57ab5137
last_accessed: 2026-02-25T14:50:59.188Z
extraction_status: none
content:
  Signet agent profile lives at ~/.agents/ (not ~/.signet/); includes agent.yaml, AGENTS.md, SOUL.md, IDENTITY.md, USER.md, MEMORY.md, and memory/ subdirectory


id: b4ae5757-bcaa-414e-9288-83f9139d8ba7
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source_id: openclaw:2026-02-25-session-initialization-3:98535c1d03d97663
source_type: openclaw-memory-log
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extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  ## Session Initialization This session consisted of a startup hook event for the Signet daemon in the signetai monorepo. No active development work was performed. The session loaded project context, memory artifacts, and identity configuration from `~/.agents/` but did not proceed with any coding tasks or architectural decisions.

normalized_content:
  ## session initialization this session consisted of a startup hook event for the signet daemon in the signetai monorepo. no active development work was performed. the session loaded project context, memory artifacts, and identity configuration from `~/.agents/` but did not proceed with any coding tasks or architectural decisions


id: 67634173-4f1f-45a0-ae7c-2af429d330f9
type: fact
source_id: openclaw:2026-02-25-session-initialization-3:24c1677db593bbb7
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created_at: 2026-02-25T14:36:24.461Z
updated_at: 2026-02-25T14:36:24.461Z
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who: openclaw-memory
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extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  ## Active Project Context The session recognized three ongoing work items from previous sessions: 1. Ingest Pipeline Refactoring—extracting common utilities and standardizing LLM provider integration 2. ProtonMail MCP Server Setup—completed, awaiting Claude Code session restart 3. Ingestion Pipeline PR #25 Cherry-Pick—fixes applied, migration script pending No progress was made on any of these fronts during this session.

normalized_content:
  ## active project context the session recognized three ongoing work items from previous sessions: 1. ingest pipeline refactoring—extracting common utilities and standardizing llm provider integration 2. protonmail mcp server setup—completed, awaiting claude code session restart 3. ingestion pipeline pr #25 cherry-pick—fixes applied, migration script pending no progress was made on any of these fronts during this session


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source_id: a3e9543a-a87d-4b12-ae27-9cc683be8d4e
source_type: pipeline-v2
created_at: 2026-02-25T14:51:31.458Z
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extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The Signet daemon is responsible for assembling and delivering context to agents in the OpenClaw/ClawdBot environment

normalized_content:
  the signet daemon is responsible for assembling and delivering context to agents in the openclaw/clawdbot environment


id: 4beb4ac7-81a2-431d-9b9d-a31f2805ab0f
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tags: predictor,architecture,rust,memory-pipeline,north-star
created_at: 2026-02-25T15:00:18.318Z
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content:
  [predictor,architecture,rust,memory-pipeline,north-star]: Designed the Signet Predictive Memory Scorer - a Rust-based cross-attention model that trains locally on each user's memory-session interactions to predict which memories to surface.

normalized_content:
  [predictor,architecture,rust,memory-pipeline,north-star]: designed the signet predictive memory scorer - a rust-based cross-attention model that trains locally on each user's memory-session interactions to predict which memories to surface


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updated_by: pipeline-v2
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who: daemon
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extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Real-time agent preference signals are captured using unicode characters and JSON tags as the encoding format

normalized_content:
  real-time agent preference signals are captured using unicode characters and json tags as the encoding format


id: 5b49778e-ae07-448c-bf20-ad09fdcd87a1
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tags: predictor,architecture,rust,memory-pipeline,north-star
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extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Plan includes 8 delegated agents with explicit acceptance criteria. ACAN reference cloned to references/acan/, Memory-R1 paper analyzed (no public code). Plan lives at docs/wip/predictive-memory-scorer.md.

normalized_content:
  plan includes 8 delegated agents with explicit acceptance criteria. acan reference cloned to references/acan/, memory-r1 paper analyzed (no public code). plan lives at docs/wip/predictive-memory-scorer.md


id: a94f48d1-ad74-4bc4-bb7c-a32dbc6aa6ad
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tags: predictor,architecture,rust,memory-pipeline,north-star
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who: daemon
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extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Signet conceptually distinguishes between a tool that remembers (episodic recall of facts) and a mind that persists (continuous agent identity with contextual continuity)

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


id: 51d0a8f2-c3b9-453e-bdc7-51043fd81e9a
type: decision
source_type: session_end
tags: architecture,memory-pipeline,north-star
created_at: 2026-02-25T15:02:58.584Z
updated_at: 2026-02-25T15:02:58.584Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai/references
session_id: 58a3f7cc-c7ca-4ece-a41d-cf6209b36aa2
extraction_status: none
content:
  Signet's core functionality is framed as a memory prediction algorithm that learns to surface optimal recall methods based on context, sentiment, and moment


id: f8fcc721-da56-4f7b-a9e4-6da1bbc780ba
type: decision
source_type: session_end
tags: architecture,rust,memory-pipeline
created_at: 2026-02-25T15:02:58.584Z
updated_at: 2026-02-25T15:02:58.584Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai/references
session_id: 58a3f7cc-c7ca-4ece-a41d-cf6209b36aa2
extraction_status: none
content:
  The Predictive Memory Scorer involves a Rust-based transformer model trained locally per user with progressive training on that user's memory and session histories


id: e9b63351-1994-4672-b452-b3e4ef6b9f97
type: fact
source_type: session_end
tags: memory-pipeline,architecture
created_at: 2026-02-25T15:02:58.584Z
updated_at: 2026-02-25T15:02:58.584Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai/references
session_id: 58a3f7cc-c7ca-4ece-a41d-cf6209b36aa2
extraction_status: none
content:
  Memory injection predictions are triggered at two events: session start and on userPromptSubmit hook events


id: 4f2b5264-c639-44b5-8735-7de0d1d4581c
type: learning
source_type: session_end
tags: references,inference,memory-pipeline
created_at: 2026-02-25T15:02:58.584Z
updated_at: 2026-02-25T15:02:58.584Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai/references
session_id: 58a3f7cc-c7ca-4ece-a41d-cf6209b36aa2
extraction_status: none
content:
  MicroGPT reference at @references/microgpt contains inference pipeline patterns applicable to the Predictive Memory Scorer design


id: c3e5c92d-ab8f-46de-81f6-a2af3179e7c2
type: decision
source_type: session_end
tags: north-star,memory-pipeline,vision
created_at: 2026-02-25T15:02:58.584Z
updated_at: 2026-02-25T15:02:58.584Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai/references
session_id: 58a3f7cc-c7ca-4ece-a41d-cf6209b36aa2
extraction_status: none
content:
  The Predictive Memory Scorer is positioned as Signet's north star feature—the difference between a tool that remembers and a mind that persists


id: 751bf9ac-a028-4e2c-a6b9-4f5afb2926a1
type: fact
source_id: e0950f3d-1a59-4df8-91fe-72b30cec394c
source_type: chunk
created_at: 2026-02-25T15:02:58.602Z
updated_at: 2026-02-25T15:02:58.602Z
updated_by: openclaw-memory
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who: openclaw-memory
why: explicit
content_hash: aa042c7734d483eaa30eb9c3bc50513083db6affea5bf5c7b44893267f4e5f45
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  ## Predictive Memory Scorer Vision Discussion Nicholai discussed the conceptual architecture of Signet's core mechanism: a memory prediction algorithm that learns to surface the most relevant memories based on context, sentiment, and moment.

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-predictive-memory-scorer-vision-discussion,hierarchical-section

normalized_content:
  ## predictive memory scorer vision discussion nicholai discussed the conceptual architecture of signet's core mechanism: a memory prediction algorithm that learns to surface the most relevant memories based on context, sentiment, and moment


id: 6f6af659-333c-4417-b165-d65d5c7847e7
type: fact
source_id: e0950f3d-1a59-4df8-91fe-72b30cec394c
source_type: chunk
created_at: 2026-02-25T15:02:58.602Z
updated_at: 2026-02-25T15:02:58.602Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 5e84b0340bc925611252bb40aef4a9a25f2bfffd132b48f73c223143998192d0
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The conversation framed Signet not as a static memory system but as an inference engine that predicts optimal recall strategies. Key proposal: implement a Rust-based transformer model trained locally and unique per user.

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-predictive-memory-scorer-vision-discussion,hierarchical-section

normalized_content:
  the conversation framed signet not as a static memory system but as an inference engine that predicts optimal recall strategies. key proposal: implement a rust-based transformer model trained locally and unique per user


id: 43cacb81-afc2-4503-aadd-8e9d37e6861b
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created_at: 2026-02-25T15:02:58.602Z
updated_at: 2026-02-25T15:02:58.602Z
updated_by: openclaw-memory
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who: openclaw-memory
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content_hash: 87998b339316239d7e1ca27b419f68f1cde4fcb5ed892b6caf8ed2709e9fb37b
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  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. The inference pipeline pattern from MicroGPT was referenced as a potential design guide.

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-predictive-memory-scorer-vision-discussion,hierarchical-section

normalized_content:
  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. the inference pipeline pattern from microgpt was referenced as a potential design guide


id: 81fe60e7-6184-44a7-8c11-7007519bcd82
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source_id: e0950f3d-1a59-4df8-91fe-72b30cec394c
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created_at: 2026-02-25T15:02:58.602Z
updated_at: 2026-02-25T15:02:58.602Z
updated_by: openclaw-memory
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who: openclaw-memory
why: explicit
content_hash: 9d31b19b46e76aa797f26deb37636e3608079f28fc01198438d008439d3f364f
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The vision positions this as Signet's north star feature—the difference between a tool that remembers and a mind that persists.

tags:
[cell repeats an earlier one in this file: 105 characters]

normalized_content:
  the vision positions this as signet's north star feature—the difference between a tool that remembers and a mind that persists


id: e709db27-aef4-45c1-9981-af8af0c58fff
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tags: openclaw,memory-log,2026-02-25,2026-02-25-bug-hunt-session-initiated,hierarchical-section
created_at: 2026-02-25T15:03:23.924Z
updated_at: 2026-02-25T15:28:45.754Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 16510afcf72e5c809ca530469e1b4886afccfc0bdc08a63bf519d6190db9eded
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Bug fixes in the signetai codebase should prioritize issues that break functionality over non-critical or cosmetic issues

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


id: 147826fa-e0ea-4410-b029-53e06172aaae
type: decision
source_id: 5b7167dc-b9d6-4c03-bf39-f45d40b67a14
source_type: chunk
created_at: 2026-02-25T15:03:23.988Z
updated_at: 2026-02-25T15:30:01.988Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 69b1c68a0e7a34e065c6f220ebf5950e1b14fd83b930c1e9e15091522d8c6fce
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Signet implements unified search that combines skills.sh API search with client-side filtering of a cached ClawHub catalog

tags:
[cell repeats an earlier one in this file: 110 characters]

normalized_content:
  signet implements unified search that combines skills.sh api search with client-side filtering of a cached clawhub catalog


id: 4b4daedf-3d1e-4012-a8d5-14b5a90cdfad
type: fact
source_id: 66b3f2da-3e98-4bdf-ab2e-716ab43e5319
source_type: chunk
tags: openclaw,memory-log,2026-02-25,2026-02-25-navigation-redesign-discovery,hierarchical-section
created_at: 2026-02-25T15:03:24.007Z
updated_at: 2026-02-25T15:03:24.007Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 65bb497f8af3bc4eae175bfd373eeb52fdee9f3e737786284b0b5d12d23955d8
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  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.

normalized_content:
  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


id: b28ceb05-4bb9-4bc3-8dab-a7d4555d6402
type: decision
source_id: 14230bed-7372-473e-9f9e-08300256e7cb
source_type: chunk
created_at: 2026-02-25T15:03:24.049Z
updated_at: 2026-02-25T15:32:24.401Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 752805cdd23a169931802d425aea455a32207bb178d4516bae619f59a3c9b3bc
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
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

tags:
[cell repeats an earlier one in this file: 102 characters]

normalized_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


id: db7d4cf2-4c58-44e3-a5a3-3cde59d89233
type: fact
source_id: 656d1bbd-df68-45d4-833d-1ed762031278
source_type: chunk
created_at: 2026-02-25T15:03:24.067Z
updated_at: 2026-02-25T15:33:26.824Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 6c503ff4681bade3ed8911b6909d8f7068d75d084ac182155ceae553b2daf6cb
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Steam provides API endpoints that expose game metadata beyond simple store pages (version numbers, release dates, update status, player counts)

tags:
[cell repeats an earlier one in this file: 108 characters]

normalized_content:
  steam provides api endpoints that expose game metadata beyond simple store pages (version numbers, release dates, update status, player counts)


id: c5bbd75c-036b-4c94-b6e2-e60167e75c88
type: fact
source_id: 9e147645-af49-42d6-973d-c4dec0f7a7cc
source_type: chunk
created_at: 2026-02-25T15:03:24.135Z
updated_at: 2026-02-25T15:03:24.135Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: bf85701d62e386be6e93fc5942a844f2cfde1d01b7b1ebf7fb24e18e23f73f99
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  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.

tags:
[cell repeats an earlier one in this file: 104 characters]

normalized_content:
  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


id: c7a5b88a-4283-4b82-bed8-7a220f4a9906
type: rationale
source_id: 37708227-3c32-4458-88e6-9c9ea1075e2b
source_type: chunk
created_at: 2026-02-25T15:03:24.174Z
updated_at: 2026-02-25T15:35:41.922Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-25T15:11:32.427Z
content_hash: 21136d56c859ce82b27fa6ff844899b2c614e7ff68894bf6441434be2ca2cef0
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Legacy databases contain accumulated memories that bypassed the extraction pipeline, leaving them vulnerable to duplicate detection gaps beyond exact matches

tags:
[cell repeats an earlier one in this file: 100 characters]

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


id: bff6bd87-3b3c-4e28-b686-14959395c208
type: rationale
source_id: 37708227-3c32-4458-88e6-9c9ea1075e2b
source_type: chunk
created_at: 2026-02-25T15:03:24.174Z
updated_at: 2026-02-25T15:37:32.166Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 1c5ddb39e75ce97df47a145f944983c131e09e81898ae0648e4706b5a66f087e
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
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

tags:
[cell repeats an earlier one in this file: 100 characters]

normalized_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


id: 109914c1-c762-4335-968f-302169de4d4f
type: fact
source_id: 37708227-3c32-4458-88e6-9c9ea1075e2b
source_type: chunk
created_at: 2026-02-25T15:03:24.174Z
updated_at: 2026-02-25T15:03:24.174Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 7d04439cd3a4a42bd45c3ad0f02977b7cac1ace515bf2f7df86feffb31a8d6e0
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  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.

tags:
[cell repeats an earlier one in this file: 100 characters]

normalized_content:
  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


id: 0d36df54-e590-4362-ab75-bbcb0ac6cb9b
type: decision
source_type: session_end
tags: signet,hooks,scheduler,extraction,recursion
created_at: 2026-02-25T15:13:46.126Z
updated_at: 2026-02-25T15:13:46.126Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 771005e3-ca5e-48aa-8296-e672a56b7df1
extraction_status: none
content:
  Signet daemon scheduler prevents recursive extraction loops using a SIGNET_NO_HOOKS=1 sentinel environment variable checked at four layers: CLI preAction hook, scheduler spawn.ts, ClaudeCodeProvider, and daemon HTTP guard with x-signet-no-hooks header


id: 428c21a2-2044-494d-b8b3-bdf4d3c59a38
type: fact
source_type: session_end
tags: cli,hooks,preAction,exit-code
created_at: 2026-02-25T15:13:46.126Z
updated_at: 2026-02-25T15:13:46.126Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 771005e3-ca5e-48aa-8296-e672a56b7df1
extraction_status: none
content:
  CLI hook command (packages/cli/src/cli.ts) uses preAction hook pattern to exit code 0 silently when SIGNET_NO_HOOKS=1 is set, suppressing all hook subcommands in spawned contexts


id: a2f07ac4-6be9-4b8b-b8db-7caba107e64d
type: fact
source_type: session_end
tags: scheduler,spawn,env-injection
created_at: 2026-02-25T15:13:46.126Z
updated_at: 2026-02-25T15:13:46.126Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 771005e3-ca5e-48aa-8296-e672a56b7df1
extraction_status: none
content:
  Scheduler spawn.ts injects SIGNET_NO_HOOKS=1 into child process environment using destructuring pattern const { SIGNET_NO_HOOKS: _, ...baseEnv } = process.env


id: b8b9e8e8-3618-4e87-9f5b-bbc6fe2eab2b
type: fact
source_type: session_end
tags: provider,ClaudeCodeProvider,env-stripping
created_at: 2026-02-25T15:13:46.126Z
updated_at: 2026-02-25T15:13:46.126Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 771005e3-ca5e-48aa-8296-e672a56b7df1
extraction_status: none
content:
  ClaudeCodeProvider (packages/daemon/src/pipeline/provider.ts) strips both CLAUDECODE and SIGNET_NO_HOOKS from parent env, then injects SIGNET_NO_HOOKS=1 alongside NO_COLOR=1 in child spawn


id: beb3395b-87df-49ce-84a6-046dbc9e2b73
type: fact
source_type: session_end
tags: daemon,http,hooks,guard
created_at: 2026-02-25T15:13:46.126Z
updated_at: 2026-02-25T15:13:46.126Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 771005e3-ca5e-48aa-8296-e672a56b7df1
extraction_status: none
content:
  Daemon HTTP guard uses isInternalCall() helper checking x-signet-no-hooks header, early-returning empty responses from three hook routes: session-start, user-prompt-submit, session-end


id: 37473cdc-06ef-4139-8d06-289cc05eb9d6
type: rationale
source_id: ce6b68fc-1f05-4427-a65d-b232da9f6ba0
source_type: chunk
created_at: 2026-02-25T15:13:46.133Z
updated_at: 2026-02-25T15:43:02.638Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: a1a7e83dd53dffd9dd4aca3716af8554e50ad31e4c56ec58cd036d1eb8f20ef2
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The sentinel-based hook guard prevents recursive extraction loops by suppressing hooks in spawned contexts where they would otherwise re-trigger extraction

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-recursive-extraction-loop-prevention-implementatio,hierarchical-section

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


id: d460c2ce-184b-41aa-9884-a3d6e1bb173e
type: fact
source_id: ce6b68fc-1f05-4427-a65d-b232da9f6ba0
source_type: chunk
created_at: 2026-02-25T15:13:46.133Z
updated_at: 2026-02-25T15:13:46.133Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 769974d8d391cd7bd3ce9a33e5bc8e307dbc125ea421210d4127f2315f945868
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The scheduler spawns full Claude Code/OpenCode agent sessions that inherit the environment, which fire Signet's session-start/end hooks, triggering summary jobs and memory extraction—creating a potentially infinite, expensive loop.

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-recursive-extraction-loop-prevention-implementatio,hierarchical-section

normalized_content:
  the scheduler spawns full claude code/opencode agent sessions that inherit the environment, which fire signet's session-start/end hooks, triggering summary jobs and memory extraction—creating a potentially infinite, expensive loop


id: f9775209-dcd2-409d-b168-d98b581e4fdf
type: fact
source_id: ce6b68fc-1f05-4427-a65d-b232da9f6ba0
source_type: chunk
created_at: 2026-02-25T15:13:46.133Z
updated_at: 2026-02-25T15:13:46.133Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: debf24edcf486bcfa2634e1338141c9ea451b9ae322b6024f88503610fc1db01
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The solution uses a `SIGNET_NO_HOOKS=1` sentinel environment variable checked at four distinct layers: 1.

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-recursive-extraction-loop-prevention-implementatio,hierarchical-section

normalized_content:
  the solution uses a `signet_no_hooks=1` sentinel environment variable checked at four distinct layers: 1


id: 3db0f089-46bf-4089-8cc0-da7cb2c18adc
type: fact
source_id: ce6b68fc-1f05-4427-a65d-b232da9f6ba0
source_type: chunk
created_at: 2026-02-25T15:13:46.133Z
updated_at: 2026-02-25T15:13:46.133Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: e24763da1dec9ffa16e72321c7485d885f146985ac5003ecda12bc4dfb7577c1
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  **CLI Hook Guard** (`packages/cli/src/cli.ts`): Added a `preAction` hook on the `hookCmd` that exits silently (exit code 0) when the sentinel is set, preventing all hook subcommands from firing in spawned contexts. 2.

tags:
[cell repeats an earlier one in this file: 113 characters]

normalized_content:
  **cli hook guard** (`packages/cli/src/cli.ts`): added a `preaction` hook on the `hookcmd` that exits silently (exit code 0) when the sentinel is set, preventing all hook subcommands from firing in spawned contexts. 2


id: 8a929ca7-9ea8-4262-9520-f1c0fed7fdd9
type: fact
source_id: ce6b68fc-1f05-4427-a65d-b232da9f6ba0
source_type: chunk
created_at: 2026-02-25T15:13:46.133Z
updated_at: 2026-02-25T15:13:46.133Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: e8c1313d5f25e33981788604fe7fa8fd4083a146a903440f55c6df4237b37abf
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  **Scheduler Spawn** (`packages/daemon/src/scheduler/spawn.ts`): Injects `SIGNET_NO_HOOKS: "1"` into the child process environment when spawning agents, ensuring spawned processes inherit the sentinel. 3.

tags:
[cell repeats an earlier one in this file: 113 characters]

normalized_content:
  **scheduler spawn** (`packages/daemon/src/scheduler/spawn.ts`): injects `signet_no_hooks: "1"` into the child process environment when spawning agents, ensuring spawned processes inherit the sentinel. 3


id: cd9a5f27-6c58-48ca-9594-9a7754c46b2e
type: fact
source_id: ce6b68fc-1f05-4427-a65d-b232da9f6ba0
source_type: chunk
created_at: 2026-02-25T15:13:46.133Z
updated_at: 2026-02-25T15:13:46.133Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: e8654b5533419e3d6918a5154e5e083cbc117b0e9d93f29032e08f688888bd90
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  **Pipeline Provider** (`packages/daemon/src/pipeline/provider.ts`): Adds `SIGNET_NO_HOOKS: "1"` to the ClaudeCodeProvider's child environment alongside existing `CLAUDECODE` stripping as belt-and-suspenders defense. 4.

tags:
[cell repeats an earlier one in this file: 113 characters]

normalized_content:
  **pipeline provider** (`packages/daemon/src/pipeline/provider.ts`): adds `signet_no_hooks: "1"` to the claudecodeprovider's child environment alongside existing `claudecode` stripping as belt-and-suspenders defense. 4


id: b1a34daa-b416-47ab-ace0-2ec50464a357
type: fact
source_id: ce6b68fc-1f05-4427-a65d-b232da9f6ba0
source_type: chunk
created_at: 2026-02-25T15:13:46.133Z
updated_at: 2026-02-25T15:13:46.133Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 990b76b22087f7c47a25f9838c385805b83b45651f438d123cf1f6af71c2ca48
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  **Daemon HTTP Guard** (`packages/daemon/src/daemon.ts`): Added an `isInternalCall()` helper that checks for `x-signet-no-hooks: 1` header, with early returns on hook routes (`/api/hooks/session-start`, `/api/hooks/user-prompt-submit`, `/api/hooks/session-end`) to guard against direct HTTP API calls bypassing the CLI.

tags:
[cell repeats an earlier one in this file: 113 characters]

normalized_content:
  **daemon http guard** (`packages/daemon/src/daemon.ts`): added an `isinternalcall()` helper that checks for `x-signet-no-hooks: 1` header, with early returns on hook routes (`/api/hooks/session-start`, `/api/hooks/user-prompt-submit`, `/api/hooks/session-end`) to guard against direct http api calls bypassing the cli


id: 9f8752ed-f260-4599-822a-ec97f86506b3
type: fact
source_id: ce6b68fc-1f05-4427-a65d-b232da9f6ba0
source_type: chunk
created_at: 2026-02-25T15:13:46.133Z
updated_at: 2026-02-25T15:13:46.133Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 8ebfb331db4d3821bebe0850cd1b5d599aedfdd317d084e62020d8e18ea871bd
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The implementation is non-breaking: normal user sessions are unaffected (env var not set), existing safe code paths remain unchanged, and no schema/API changes are introduced.

tags:
[cell repeats an earlier one in this file: 113 characters]

normalized_content:
  the implementation is non-breaking: normal user sessions are unaffected (env var not set), existing safe code paths remain unchanged, and no schema/api changes are introduced


id: 8e5ccd65-f3e6-4c0c-a955-90f624c6531b
type: fact
source_id: ce6b68fc-1f05-4427-a65d-b232da9f6ba0
source_type: chunk
created_at: 2026-02-25T15:13:46.133Z
updated_at: 2026-02-25T15:13:46.133Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 0b84ed520b21e3309268f87cdadb2aa653dfa68006fa387f967c6f29720a65d7
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Verification includes build/typecheck/test validation plus manual testing of the hook suppression behavior and daemon logging.

tags:
[cell repeats an earlier one in this file: 113 characters]

normalized_content:
  verification includes build/typecheck/test validation plus manual testing of the hook suppression behavior and daemon logging


id: c49ccd0c-ffb6-4100-93b5-909d3946a003
type: issue
source_type: session_end
tags: vision,predictor,documentation
created_at: 2026-02-25T15:14:52.546Z
updated_at: 2026-02-25T15:14:52.546Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 39f26731-4d40-4289-8f0e-13baaadb0dd5
extraction_status: none
content:
  VISION.md was missing the concept of learned, adaptive memory retrieval that improves over time based on per-user interaction patterns


id: a44aee02-dd7e-426e-b987-590956446b7f
type: fact
source_type: session_end
tags: predictor,architecture,learning
created_at: 2026-02-25T15:14:52.546Z
updated_at: 2026-02-25T15:14:52.546Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 39f26731-4d40-4289-8f0e-13baaadb0dd5
extraction_status: none
content:
  The predictive-memory-scorer proposes a per-user trained model running locally (no cloud) that learns which memories are relevant based on session outcomes and temporal patterns


id: 2af6e185-0e6d-410c-b1ff-6acfe99b894c
type: decision
source_type: session_end
tags: vision,documentation
created_at: 2026-02-25T15:14:52.546Z
updated_at: 2026-02-25T15:14:52.546Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 39f26731-4d40-4289-8f0e-13baaadb0dd5
extraction_status: none
content:
  Added text to VISION.md emphasizing that Signet learns what to remember through locally-trained models unique to each user, with no shared weights or cloud infrastructure


id: 72aec19a-10b9-491b-9e61-ac9d4a80bd67
type: semantic
source_id: 00e404aa-88dd-4445-8e98-ec9f1f17a222
source_type: chunk
created_at: 2026-02-25T15:14:52.551Z
updated_at: 2026-02-25T15:49:46.443Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: e693784e20bbd7cdb4412585dd99ace6e93b4f89c59e5cd6f3497f87dd1e738a
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
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)

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-vision-md-gap-analysis-and-enhancement,hierarchical-section

normalized_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)


id: 283b2f70-043a-4b72-860e-182ad56cd122
type: learning
source_id: 00e404aa-88dd-4445-8e98-ec9f1f17a222
source_type: chunk
created_at: 2026-02-25T15:14:52.551Z
updated_at: 2026-02-25T15:14:52.551Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 50bebecc8ef7f89fa1293bbc58510b02ba9e45ceff39f1228a66dad7af6f8154
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  After reviewing both documents, Claude identified one significant conceptual gap: **learned adaptation**.

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-vision-md-gap-analysis-and-enhancement,hierarchical-section

normalized_content:
  after reviewing both documents, claude identified one significant conceptual gap: **learned adaptation**


id: 6f949a22-2af2-4828-81a6-e906f6fc95d0
type: fact
source_id: 00e404aa-88dd-4445-8e98-ec9f1f17a222
source_type: chunk
created_at: 2026-02-25T15:14:52.551Z
updated_at: 2026-02-25T15:14:52.551Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 182844be002220c3cdb9276818ac51d9e43399b5ac4d69461687074302f198c5
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  VISION.md discusses memory and coherence as static capabilities—"Signet gives agents coherence" and "a mind that persists"—but doesn't explain that the system improves over time by learning from interaction patterns.

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-vision-md-gap-analysis-and-enhancement,hierarchical-section

normalized_content:
  vision.md discusses memory and coherence as static capabilities—"signet gives agents coherence" and "a mind that persists"—but doesn't explain that the system improves over time by learning from interaction patterns


id: c65f5d0c-386c-4320-b4c3-bdc085c587d4
type: rationale
source_id: 00e404aa-88dd-4445-8e98-ec9f1f17a222
source_type: chunk
created_at: 2026-02-25T15:14:52.551Z
updated_at: 2026-02-25T15:54:45.504Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 0b1da8ba201fb220a0a7933083e1bc3ea443f2fb9aae086d7a9674e61f266bd5
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The on-device and individual-weights design for Signet's learning model prioritizes user privacy, ownership, and personalization over centralized training efficiency

tags:
[cell repeats an earlier one in this file: 101 characters]

normalized_content:
  the on-device and individual-weights design for signet's learning model prioritizes user privacy, ownership, and personalization over centralized training efficiency


id: 53824992-9cec-4a2e-a64d-107e48294e52
type: procedural
source_id: 00e404aa-88dd-4445-8e98-ec9f1f17a222
source_type: chunk
created_at: 2026-02-25T15:14:52.551Z
updated_at: 2026-02-25T15:54:45.503Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: cdda62fc08408222bb8b2830012431d1891e56dc92d742645ff1495bd53408fe
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The user-specific ML model in Signet improves in quality and sharpness the longer the system is used by that user

tags:
[cell repeats an earlier one in this file: 101 characters]

normalized_content:
  the user-specific ml model in signet improves in quality and sharpness the longer the system is used by that user


id: fa08b18e-05cc-4f17-8143-6f8253efbba5
type: semantic
source_id: 00e404aa-88dd-4445-8e98-ec9f1f17a222
source_type: chunk
created_at: 2026-02-25T15:14:52.551Z
updated_at: 2026-02-25T15:56:06.570Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 47fc600baa53352db4ecc5a2440d588ec23588c1f3e48fb291b146dc98ac20ef
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The decentralization thesis is a core philosophy documented in VISION.md that guides Signetai development decisions

tags:
[cell repeats an earlier one in this file: 101 characters]

normalized_content:
  the decentralization thesis is a core philosophy documented in vision.md that guides signetai development decisions


id: 1d65c1ff-20da-4715-bcd6-184f2dac9da7
type: semantic
source_id: f11b66de-65f6-43ac-80bf-5c92a966e30a
source_type: pipeline-v2
created_at: 2026-02-25T15:15:58.591Z
updated_at: 2026-02-25T16:04:23.796Z
updated_by: pipeline-v2
vector_clock: {}
who: pipeline-v2
why: extracted-fact
content_hash: ec1f674b04e0f000475d3f8362ab255bb19fc9f27b8c0b0028c5c4cf285eca70
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
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

normalized_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


id: 4977fe0c-164d-4e63-8acf-8aafce5da87b
type: fact
source_id: f11b66de-65f6-43ac-80bf-5c92a966e30a
source_type: pipeline-v2
created_at: 2026-02-25T15:15:58.594Z
updated_at: 2026-02-25T16:04:23.797Z
updated_by: pipeline-v2
vector_clock: {}
who: pipeline-v2
why: extracted-fact
content_hash: 7a2db197ba337b545cff9c4f1a905bf16a6b277757d0d19166ae5fa4c593c3d4
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
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/

normalized_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/


id: 0bc80ab8-1384-45a3-a234-1b80e5bec5cd
type: fact
source_id: f11b66de-65f6-43ac-80bf-5c92a966e30a
source_type: pipeline-v2
created_at: 2026-02-25T15:15:58.595Z
updated_at: 2026-02-25T15:15:58.595Z
updated_by: pipeline-v2
vector_clock: {}
who: pipeline-v2
why: extracted-fact
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extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Signet memory extraction pipeline at packages/daemon/src/pipeline/ uses Ollama with model qwen3:4b by default

normalized_content:
  signet memory extraction pipeline at packages/daemon/src/pipeline/ uses ollama with model qwen3:4b by default


id: c1632fbe-5b58-44a2-9a04-5e797974cef6
type: procedural
source_id: f11b66de-65f6-43ac-80bf-5c92a966e30a
source_type: pipeline-v2
created_at: 2026-02-25T15:15:58.597Z
updated_at: 2026-02-25T15:15:58.597Z
updated_by: pipeline-v2
vector_clock: {}
who: pipeline-v2
why: extracted-fact
last_accessed: 2026-02-25T15:35:53.440Z
content_hash: 0ce1cd1b6e4733ec2d359b1e67be641c67ed1299fe2977ee36f0ef3edeb8ba09
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Build order for bun run build is: build:core → build:connector-base → build:deps (parallel) → build:signetai

normalized_content:
  build order for bun run build is: build:core → build:connector-base → build:deps (parallel) → build:signetai


id: 42829efe-4745-407f-ba42-6e8ea8613bbc
type: procedural
source_id: 67634173-4f1f-45a0-ae7c-2af429d330f9
source_type: pipeline-v2
created_at: 2026-02-25T15:19:08.422Z
updated_at: 2026-02-25T15:19:08.422Z
updated_by: pipeline-v2
vector_clock: {}
who: pipeline-v2
why: extracted-fact
last_accessed: 2026-02-25T15:35:53.440Z
content_hash: 5d4b19e0ea93969164d997519d327ea25057395b9beb2afa4549d7de87959d56
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
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

normalized_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


id: 990e102e-aa10-4cf2-8e68-021eb7bc79a2
type: fact
source_type: session_end
tags: cli,refactoring,size
created_at: 2026-02-25T15:28:00.016Z
updated_at: 2026-02-25T15:28:00.016Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 2250dcbd-d244-4466-be52-a090adb0cf71
last_accessed: 2026-02-25T15:54:24.081Z
extraction_status: none
content:
  packages/cli/src/cli.ts is approximately 4600 lines of code and is a known candidate for refactoring or decomposition


id: b7a189a4-81a3-40e5-81a4-e62c6f76b4ef
type: rule
source_type: session_end
tags: typescript,conventions,rules
created_at: 2026-02-25T15:28:00.016Z
updated_at: 2026-02-25T15:28:00.016Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 2250dcbd-d244-4466-be52-a090adb0cf71
last_accessed: 2026-02-25T15:54:24.081Z
extraction_status: none
content:
  The signetai codebase enforces TypeScript discipline rules per CLAUDE.md: no `any` types (use `unknown`), no `as` assertions (fix types instead), no `!` non-null assertions (check explicitly)


id: 4d2dfbf3-2fd3-4479-9677-21ced4608a63
type: fact
source_type: session_end
tags: daemon,hooks,refactoring
created_at: 2026-02-25T15:28:00.016Z
updated_at: 2026-02-25T15:28:00.016Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 2250dcbd-d244-4466-be52-a090adb0cf71
last_accessed: 2026-02-25T15:54:24.081Z
extraction_status: none
content:
  packages/daemon/src/hooks.ts was flagged as currently modified and is a target for refactoring analysis to understand its scope and concerns


id: 743c9ae4-5e9c-4d91-ac97-12513cccd895
type: decision
source_type: session_end
tags: refactoring,exploration,targets
created_at: 2026-02-25T15:28:00.016Z
updated_at: 2026-02-25T15:28:00.016Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 2250dcbd-d244-4466-be52-a090adb0cf71
extraction_status: none
content:
  Key refactoring target areas identified: packages/daemon/src/ (especially daemon.ts and pipeline/), packages/cli/src/, and packages/core/src/


id: 60847383-6490-4667-9374-e11dd78630ee
type: preference
source_id: openclaw:2026-02-25-refactoring-exploration-initiative:12db9809ecca2f53
source_type: openclaw-memory-log
tags: openclaw,memory-log,2026-02-25,2026-02-25-refactoring-exploration-initiative,hierarchical-section
created_at: 2026-02-25T15:28:00.021Z
updated_at: 2026-02-25T15:57:23.608Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 2cf87d2e373e2be108592b6fd8463af2ee4795872892c25f9943c0ceb5fe074f
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Parallel exploration is the preferred approach for scoping refactoring work rather than diving directly into implementation

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


id: f68b7877-1e58-49fc-b488-aeab05340bfd
type: fact
source_id: cf299c1a-2649-4522-8ef4-8248711d9e2b
source_type: chunk
tags: openclaw,memory-log,2026-02-25,2026-02-25-refactoring-exploration-initiative,hierarchical-section
created_at: 2026-02-25T15:28:00.054Z
updated_at: 2026-02-25T15:28:00.054Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 4f48dc722233549a5a0cd9149f494e2e07cd5c5458dbb06c8945b3ac87e021ce
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  ## Exploration Scope First agent tasked with finding large files and mixed concerns across the codebase: - Files over 500 LOC (packages/cli/src/cli.ts known to be ~4600 LOC) - Mixed concerns and code smell detection - Specific focus on packages/daemon/src/, packages/core/src/, and packages/cli/src/

normalized_content:
  ## exploration scope first agent tasked with finding large files and mixed concerns across the codebase: - files over 500 loc (packages/cli/src/cli.ts known to be ~4600 loc) - mixed concerns and code smell detection - specific focus on packages/daemon/src/, packages/core/src/, and packages/cli/src/


id: 68063194-c3be-45bb-9b4f-ab01589ef216
type: procedural
source_id: cf299c1a-2649-4522-8ef4-8248711d9e2b
source_type: chunk
tags: openclaw,memory-log,2026-02-25,2026-02-25-refactoring-exploration-initiative,hierarchical-section
created_at: 2026-02-25T15:28:00.054Z
updated_at: 2026-02-25T16:00:24.040Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 6d4e15775e12e7211e4b3c0d77b650dec0c9c9a7d1011ef2d88798d2c662fb47
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The code review/linting agent scans for `as` type assertions, `any` types, and `!` non-null assertions as part of TypeScript discipline validation

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


id: 4ec63b7b-6559-45b3-ad9d-6cd974ca4dd8
type: fact
source_id: cf299c1a-2649-4522-8ef4-8248711d9e2b
source_type: chunk
tags: openclaw,memory-log,2026-02-25,2026-02-25-refactoring-exploration-initiative,hierarchical-section
created_at: 2026-02-25T15:28:00.054Z
updated_at: 2026-02-25T15:28:00.054Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: d59ed1f9bef7bc705975f1801020bbb99cdc4a6cd78b3aba2c20a0c79d3410cf
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  entifying duplicated logic patterns (fetch calls, error handling, database queries) - Examining packages/daemon/src/hooks.ts which was marked as currently modified

normalized_content:
  entifying duplicated logic patterns (fetch calls, error handling, database queries) - examining packages/daemon/src/hooks.ts which was marked as currently modified


id: 2ca59459-1cb3-4144-93dc-ea8522373ac0
type: fact
source_id: openclaw:2026-02-25-refactoring-exploration-initiative:fc34eb85aea3f528
source_type: openclaw-memory-log
tags: openclaw,memory-log,2026-02-25,2026-02-25-refactoring-exploration-initiative,hierarchical-section
created_at: 2026-02-25T15:28:00.091Z
updated_at: 2026-02-25T15:28:00.091Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: b1e35a228c58fcef35e30a37784ec1455d9dd94fd01f23658f8938f359574012
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  ## Status Exploration agents were dispatched and awaiting results. No refactoring actions taken yet—this session was focused on reconnaissance and prioritization.

normalized_content:
  ## status exploration agents were dispatched and awaiting results. no refactoring actions taken yet—this session was focused on reconnaissance and prioritization


id: 47858ee7-24a3-4fa7-b0af-f1c028ba943d
type: fact
source_type: session_end
tags: dashboard,framework,architecture
created_at: 2026-02-25T15:28:48.572Z
updated_at: 2026-02-25T15:28:48.572Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 60305782-1227-414a-80c5-516ba8a18fb9
last_accessed: 2026-02-25T15:54:24.081Z
extraction_status: none
content:
  Dashboard architecture uses Svelte 5 + Tailwind v4 + bits-ui + CodeMirror 6 + 3d-force-graph, located at packages/cli/dashboard/


id: dbeba366-a838-4564-8512-9d80ff791314
type: rule
source_type: session_end
tags: dashboard,rule,components
created_at: 2026-02-25T15:28:48.572Z
updated_at: 2026-02-25T15:28:48.572Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 60305782-1227-414a-80c5-516ba8a18fb9
last_accessed: 2026-02-25T15:54:24.081Z
extraction_status: none
content:
  All dashboard UI components must use shadcn-svelte (https://www.shadcn-svelte.com) per project convention


id: 84d97cdb-f05b-4601-8f93-2df718b34514
type: fact
source_type: session_end
tags: pipeline,documentation,visual
created_at: 2026-02-25T15:28:48.572Z
updated_at: 2026-02-25T15:28:48.572Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 60305782-1227-414a-80c5-516ba8a18fb9
last_accessed: 2026-02-25T15:54:24.081Z
extraction_status: none
content:
  Memory pipeline is documented as static diagrams: public/memory-loop-v2.jpg and docs/memory-loop.mmd showing extraction workers, database layer, search, and file watching systems


id: 304c79b9-4c81-4f48-ba3b-9e61b7d659b6
type: fact
source_type: session_end
tags: daemon,api,data
created_at: 2026-02-25T15:28:48.572Z
updated_at: 2026-02-25T15:28:48.572Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 60305782-1227-414a-80c5-516ba8a18fb9
last_accessed: 2026-02-25T15:54:24.081Z
extraction_status: none
content:
  Daemon HTTP API at /api/status provides full daemon status and /api/analytics/continuity provides session metrics—suitable data sources for live pipeline visualization


id: 4b306698-9bec-4698-b778-a845d46a5d25
type: fact
source_type: session_end
tags: dashboard,dev,ports
created_at: 2026-02-25T15:28:48.572Z
updated_at: 2026-02-25T15:28:48.572Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 60305782-1227-414a-80c5-516ba8a18fb9
last_accessed: 2026-02-25T15:54:24.081Z
extraction_status: none
content:
  Dashboard development runs on port 5173 with bun run dev in packages/cli/dashboard and builds to static files served by daemon at localhost:3850


id: 0adee576-dfde-4160-ab34-f7172b180c29
type: fact
source_id: 6336119f-bbeb-4775-804e-e223929c419b
source_type: chunk
created_at: 2026-02-25T15:28:48.576Z
updated_at: 2026-02-25T16:06:45.714Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: aacc48307c165f6d7aad61d74de72dbb10753f300bca5e5757fe2f94e0583d44
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The Signet dashboard currently references static memory pipeline diagrams at public/memory-loop-v2.jpg and docs/memory-loop.mmd

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-pipeline-visualization-feature-planning,hierarchical-section

normalized_content:
  the signet dashboard currently references static memory pipeline diagrams at public/memory-loop-v2.jpg and docs/memory-loop.mmd


id: db98b006-7618-4bb2-97cc-f22090218ab5
type: fact
source_id: 6336119f-bbeb-4775-804e-e223929c419b
source_type: chunk
created_at: 2026-02-25T15:28:48.576Z
updated_at: 2026-02-25T15:28:48.576Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: dc8131011e3b0732ef72a186577535f3af01d08333fe5813e7cd3109a875ff90
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The assistant initiated exploration of the dashboard architecture at packages/cli/dashboard/ to understand what's available.

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-pipeline-visualization-feature-planning,hierarchical-section

normalized_content:
  the assistant initiated exploration of the dashboard architecture at packages/cli/dashboard/ to understand what's available


id: aac51630-fa33-48ec-8c6e-6779db4dbd9c
type: fact
source_id: 6336119f-bbeb-4775-804e-e223929c419b
source_type: chunk
created_at: 2026-02-25T15:28:48.576Z
updated_at: 2026-02-25T15:28:48.576Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 130694a76238c3f36061494673d1c8fcd4c23d9fb68a9d2cf8e11dedc9c996d6
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The goal is to leverage existing infrastructure—Svelte 5, Tailwind v4, bits-ui, and 3d-force-graph—to create an interactive pipeline view that displays: - Active worker status and job queue state - Data flow between components in real time - Pipeline metrics and throughput Exploration focused on understanding component patterns, existing visualization approaches, and available daemon API endpoints that could power the live visualization.

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-pipeline-visualization-feature-planning,hierarchical-section

normalized_content:
  the goal is to leverage existing infrastructure—svelte 5, tailwind v4, bits-ui, and 3d-force-graph—to create an interactive pipeline view that displays: - active worker status and job queue state - data flow between components in real time - pipeline metrics and throughput exploration focused on understanding component patterns, existing visualization approaches, and available daemon api endpoints that could power the live visualization


id: 29273c45-d22d-4abb-b399-d82104b7c58f
type: decision
source_type: session_end
tags: openclaw,contribution,strategy,memory
created_at: 2026-02-25T15:30:33.946Z
updated_at: 2026-02-25T15:30:33.946Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 5fa14eff-72b6-4880-b832-988cf8a98e9a
last_accessed: 2026-02-25T16:04:55.299Z
extraction_status: none
content:
  Nicholai is planning an upstream contribution to OpenClaw that either improves memory pipeline foundations or ports Signet patterns, requiring exact adherence to OpenClaw's contribution protocol


id: e43c7f8f-a3be-4e16-b67f-071b8ae3d502
type: fact
source_type: session_end
tags: openclaw,architecture,memory-lancedb
created_at: 2026-02-25T15:30:33.946Z
updated_at: 2026-02-25T15:30:33.946Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 5fa14eff-72b6-4880-b832-988cf8a98e9a
last_accessed: 2026-02-25T15:54:24.081Z
extraction_status: none
content:
  OpenClaw has a memory-lancedb extension/plugin that handles memory storage, search, and creation - key component to research for contribution planning


id: 75efd138-92ec-435a-aa18-45edc455a725
type: fact
source_type: session_end
tags: signetai,documentation,openclaw
created_at: 2026-02-25T15:30:33.946Z
updated_at: 2026-02-25T15:30:33.946Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 5fa14eff-72b6-4880-b832-988cf8a98e9a
extraction_status: none
content:
  Reference document for OpenClaw integration strategy exists at docs/wip/openclaw-integration-strategy.md


id: 1c4e2cdf-b982-498a-ba90-921cfcca24f5
type: fact
source_id: 382a623c-cea7-48ce-af5a-3e30865a789a
source_type: chunk
created_at: 2026-02-25T15:30:33.951Z
updated_at: 2026-02-25T15:30:33.951Z
updated_by: openclaw-memory
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who: openclaw-memory
why: explicit
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content_hash: 47ede34672626bc1f1d4a71444aac504653df7def795446cf85e7f06c691bceb
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  ## OpenClaw Upstream Contribution Research Nicholai initiated planning for a concrete upstream contribution to OpenClaw that either improves their memory pipeline foundation or ports useful patterns from Signet.

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-openclaw-upstream-contribution-research,hierarchical-section

normalized_content:
  ## openclaw upstream contribution research nicholai initiated planning for a concrete upstream contribution to openclaw that either improves their memory pipeline foundation or ports useful patterns from signet


id: 15dea7b9-933a-46f5-93ab-a31ff0a5e806
type: fact
source_id: 382a623c-cea7-48ce-af5a-3e30865a789a
source_type: chunk
created_at: 2026-02-25T15:30:33.951Z
updated_at: 2026-02-25T16:13:56.805Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-25T15:35:53.440Z
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extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  OpenClaw's contribution guidelines including PR templates and CONTRIBUTING.md were reviewed as part of the investigation

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-openclaw-upstream-contribution-research,hierarchical-section

normalized_content:
  openclaw's contribution guidelines including pr templates and contributing.md were reviewed as part of the investigation


id: 67c75a72-f603-4e85-af53-93839b485f77
type: rationale
source_id: 382a623c-cea7-48ce-af5a-3e30865a789a
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created_at: 2026-02-25T15:30:33.951Z
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updated_by: pipeline-v2
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who: openclaw-memory
why: explicit
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content_hash: 7a2a254d55596c2f1629a24360acd6a4e662824a1a8ce5a97f7fb9e4efc8ecd7
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The research phase aimed to understand OpenClaw's memory tool schemas, search implementations, and storage formats before proposing a contribution, to ensure the proposal would be architecturally sound and aligned with OpenClaw's design patterns

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-openclaw-upstream-contribution-research,hierarchical-section

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


id: b6c82a47-3473-4c69-b4da-ca4213643acd
type: decision
source_type: session_end
tags: architecture,predictor,model,signetai
created_at: 2026-02-25T15:54:55.528Z
updated_at: 2026-02-25T15:54:55.528Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 91204f3c-6729-4bdb-8e14-1e10df5b823a
last_accessed: 2026-02-25T16:19:46.234Z
extraction_status: none
content:
  Predictive Memory Scorer uses cross-attention architecture with ~370K parameters (d=64 internal dimension, 4096 HashTrick buckets, Q/K/V projections, feature gate) for per-user memory ranking


id: 5e158085-ecca-4a20-95a4-40a4a1927e9e
type: decision
source_type: session_end
tags: architecture,communication,daemon,signetai
created_at: 2026-02-25T15:54:55.528Z
updated_at: 2026-02-25T15:54:55.528Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 91204f3c-6729-4bdb-8e14-1e10df5b823a
last_accessed: 2026-02-25T16:19:46.234Z
extraction_status: none
content:
  Predictor runs as standalone Rust binary sidecar at packages/predictor/, communicates with daemon via JSON-RPC 2.0 over stdin/stdout with three methods: score (memory ranking), train (session outcome learning), status (health check)


id: 7e46bea6-cc13-4088-a854-bba44d63c9fd
type: decision
source_type: session_end
tags: training,loss,continuity-scorer,signetai
created_at: 2026-02-25T15:54:55.528Z
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session_id: 91204f3c-6729-4bdb-8e14-1e10df5b823a
last_accessed: 2026-02-25T16:19:46.234Z
extraction_status: none
content:
  Training signal comes from continuity_scorer per-memory relevance labels (0.0-1.0) from session_scores, with listwise KL-divergence loss to match probability distributions of model scores vs true relevance scores


id: 9b89c1c5-1585-4649-ba2f-bad36d0ac918
type: decision
source_type: session_end
tags: ranking,fusion,metrics,signetai
created_at: 2026-02-25T15:54:55.528Z
updated_at: 2026-02-25T15:54:55.528Z
updated_by: legacy
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who: claude-code
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session_id: 91204f3c-6729-4bdb-8e14-1e10df5b823a
last_accessed: 2026-02-25T16:04:55.299Z
extraction_status: none
content:
  Memory selection uses Reciprocal Rank Fusion (RRF) to blend baseline (effectiveScore) and predictor rankings, with α (baseline weight) earned through session-end NDCG@10 comparisons—predictor at 80% win rate gives α=0.2


id: dd154c6c-5a3a-40f1-b750-2097319ffe0a
type: rule
source_type: session_end
tags: cold-start,predictor,signetai
created_at: 2026-02-25T15:54:55.528Z
updated_at: 2026-02-25T15:54:55.528Z
updated_by: legacy
vector_clock: {}
who: claude-code
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session_id: 91204f3c-6729-4bdb-8e14-1e10df5b823a
last_accessed: 2026-02-25T16:04:55.299Z
extraction_status: none
content:
  Cold start phase: α locked at 1.0 (pure baseline) until three conditions met: first training completes, ≥10 sessions scored, success_rate > 0.4. Both systems' scores recorded for comparison even during cold start


id: c7a0c56d-d91c-48bb-880e-2d3b99bb32b1
type: rule
source_type: session_end
tags: quality-gate,training,signetai
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updated_at: 2026-02-25T15:54:55.528Z
updated_by: legacy
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session_id: 91204f3c-6729-4bdb-8e14-1e10df5b823a
last_accessed: 2026-02-25T16:04:55.299Z
extraction_status: none
content:
  Confidence gating: session_scores with continuity_scorer confidence < 0.6 are recorded but excluded from EMA updates and training—prevents noisy early sessions from degrading success_rate signal


id: abe766d0-8f22-4a4f-b871-96da80d8b6cd
type: decision
source_type: session_end
tags: feedback,training-signal,signetai
created_at: 2026-02-25T15:54:55.528Z
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updated_by: legacy
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session_id: 91204f3c-6729-4bdb-8e14-1e10df5b823a
last_accessed: 2026-02-25T16:04:55.299Z
extraction_status: none
content:
  A/B preference signal: when predictor and baseline disagree, inject both options to agent with randomized A/B label (stored mapping server-side), agent signals preference via structured tag [signet:pref=A/B/tie], max 1 comparison per session


id: e481a7cb-3453-4f82-aa85-8d659a1977ea
type: rule
source_type: session_end
tags: drift,adaptation,signetai
created_at: 2026-02-25T15:54:55.528Z
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updated_by: legacy
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who: claude-code
project: /home/nicholai/signet/signetai
session_id: 91204f3c-6729-4bdb-8e14-1e10df5b823a
extraction_status: none
content:
  Drift detection: if success_rate below driftResetThreshold for driftResetWindow consecutive sessions, reset α to 1.0, retrain with 2x learning rate, reset success_rate EMA to 0.5—prevents old-pattern predictor from fighting new workflows


id: b650218c-ee54-4722-90e1-d317fb9e9c82
type: decision
source_type: session_end
tags: database,schema,signetai
created_at: 2026-02-25T15:54:55.528Z
updated_at: 2026-02-25T15:54:55.528Z
updated_by: legacy
vector_clock: {}
who: claude-code
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session_id: 91204f3c-6729-4bdb-8e14-1e10df5b823a
last_accessed: 2026-02-25T16:04:55.299Z
extraction_status: none
content:
  New database table session_memories tracks (session_key, memory_id) tuples with source (effective/predictor/both), both scores, final rank, injection status, per-memory relevance_score from continuity scorer, agent preference signal, created_at


id: 77d11fac-1a52-43da-959c-492e87823def
type: rule
source_type: session_end
tags: database,permissions,security,signetai
created_at: 2026-02-25T15:54:55.528Z
updated_at: 2026-02-25T15:54:55.528Z
updated_by: legacy
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who: claude-code
project: /home/nicholai/signet/signetai
session_id: 91204f3c-6729-4bdb-8e14-1e10df5b823a
extraction_status: none
content:
  Training data assembly reads from session_memories + embeddings + session_scores directly via SQLite; predictor is read-only on memories.db; daemon owns all DB writes including predictor_comparisons and predictor_training_log tables


id: 8b614d70-f8d2-45b8-a3f8-cc51af327cef
type: fact
source_id: 6d8b1439-074c-47d9-a869-72554ccd9f22
source_type: chunk
created_at: 2026-02-25T15:54:55.553Z
updated_at: 2026-02-25T15:54:55.553Z
updated_by: openclaw-memory
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who: openclaw-memory
why: explicit
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extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  ## Predictive Memory Scorer Architecture Review Session opened with Nicholai reading and requesting comparison on the Predictive Memory Scorer architecture document.

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-predictive-memory-scorer-architecture-review,hierarchical-section

normalized_content:
  ## predictive memory scorer architecture review session opened with nicholai reading and requesting comparison on the predictive memory scorer architecture document


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created_at: 2026-02-25T15:54:55.553Z
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who: openclaw-memory
why: explicit
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extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The reranking model is trained on per-memory relevance labels generated by the continuity scorer component

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-predictive-memory-scorer-architecture-review,hierarchical-section

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


id: 2b215fe7-af06-478a-9d59-00a6da24f3c0
type: fact
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source_type: chunk
created_at: 2026-02-25T15:54:55.553Z
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updated_by: openclaw-memory
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who: openclaw-memory
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extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Key architectural approach: standalone Rust binary sidecar communicating with daemon via JSON-RPC 2.0 stdin/stdout. Model is lightweight (~370K params, d=64 internal embedding dimension) trained on per-memory relevance labels from continuity scorer.

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-predictive-memory-scorer-architecture-review,hierarchical-section

normalized_content:
  key architectural approach: standalone rust binary sidecar communicating with daemon via json-rpc 2.0 stdin/stdout. model is lightweight (~370k params, d=64 internal embedding dimension) trained on per-memory relevance labels from continuity scorer


id: 3da8b378-bcda-4214-945b-7cbd1202b68c
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created_at: 2026-02-25T15:54:55.553Z
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who: openclaw-memory
why: explicit
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embedding_model: nomic-embed-text
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content:
  The earned influence strategy is rationale: NDCG comparison wins at session end provide training signal for the ranking fusion weight, allowing progressive improvement from baseline to learned predictions

tags:
[cell repeats an earlier one in this file: 107 characters]

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


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who: openclaw-memory
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extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Plan includes 8 implementation phases: data pipeline prerequisites (session_memories table + per-memory scoring) → Rust autograd/model core → training pipeline → daemon integration → observability backend → dashboard UI → documentation.

tags:
[cell repeats an earlier one in this file: 107 characters]

normalized_content:
  plan includes 8 implementation phases: data pipeline prerequisites (session_memories table + per-memory scoring) → rust autograd/model core → training pipeline → daemon integration → observability backend → dashboard ui → documentation


id: b60ea905-df47-4aa3-8d1a-ef2948a6bcf6
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updated_by: openclaw-memory
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who: openclaw-memory
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extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Full execution plan with delegation to 8 agents specified, with security audit and integration testing phases. User attempted to share comparison image but attachment appeared corrupted.

tags:
[cell repeats an earlier one in this file: 107 characters]

normalized_content:
  full execution plan with delegation to 8 agents specified, with security audit and integration testing phases. user attempted to share comparison image but attachment appeared corrupted


id: 3d7dc90b-1371-4a4c-9cae-6ad6827c8de0
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content:
  The signetai project prohibits `any` types; developers must use `unknown` with explicit type narrowing instead (per CLAUDE.md style & conventions)

normalized_content:
  the signetai project prohibits `any` types; developers must use `unknown` with explicit type narrowing instead (per claude.md style & conventions)


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content:
  The signetai project prohibits `!` non-null assertions; developers must use explicit null checks instead (per CLAUDE.md style & conventions)

normalized_content:
  the signetai project prohibits `!` non-null assertions; developers must use explicit null checks instead (per claude.md style & conventions)


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embedding_model: nomic-embed-text
extraction_model: haiku
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

normalized_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


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extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Connector packages (cli, opencode, openclaw) are idempotent and safe to run install multiple times without side effects

normalized_content:
  connector packages (cli, opencode, openclaw) are idempotent and safe to run install multiple times without side effects


id: d14fbcb8-66bf-4f16-a5c9-90fa5945e64f
type: decision
source_type: session_end
tags: predictor,tokenizer,architecture
created_at: 2026-02-25T16:05:25.132Z
updated_at: 2026-02-25T16:05:25.132Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 648113cb-2b90-4fc9-b169-a9f8bed33b12
last_accessed: 2026-02-25T16:19:46.234Z
extraction_status: none
content:
  HashTrick tokenizer in the predictive memory scorer should use 16,384 buckets (not 4,096) to reduce collision rates in code-heavy memories while maintaining ~1.1M parameters that fit comfortably in L2 cache.


id: e3f7c51e-f36d-48a6-966b-911d948fd273
type: decision
source_type: session_end
tags: predictor,training,loss-function
created_at: 2026-02-25T16:05:25.132Z
updated_at: 2026-02-25T16:05:25.132Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 648113cb-2b90-4fc9-b169-a9f8bed33b12
last_accessed: 2026-02-25T16:19:46.234Z
extraction_status: none
content:
  Listwise ranking loss for the predictor should apply softmax temperature T < 1.0 to sharpen flat label distributions from continuity scorer soft labels, enabling the model to discriminate between relevance scores like 0.5 vs 0.8.


id: 745f14ec-3007-42d5-9062-9f8c326380de
type: decision
source_type: session_end
tags: predictor,training,negative-sampling
created_at: 2026-02-25T16:05:25.132Z
updated_at: 2026-02-25T16:05:25.132Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 648113cb-2b90-4fc9-b169-a9f8bed33b12
last_accessed: 2026-02-25T16:19:46.234Z
extraction_status: none
content:
  Non-injected candidate memories in predictor training should be filtered by cosine similarity before label assignment; if similarity > 0.6, assign soft label (0.2–0.3) instead of hard 0.0 to avoid training the predictor to replicate baseline heuristic mistakes.


id: 9041d018-ff6a-4590-a9c3-e10134190b9a
type: decision
source_type: session_end
tags: predictor,drift-detection,training
created_at: 2026-02-25T16:05:25.132Z
updated_at: 2026-02-25T16:05:25.132Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 648113cb-2b90-4fc9-b169-a9f8bed33b12
last_accessed: 2026-02-25T16:19:46.234Z
extraction_status: none
content:
  Concept drift recovery in the predictor should use a replay buffer (80% recent sessions + 20% high-scoring historical sessions) during retraining rather than simply increasing learning rate, preventing catastrophic forgetting of temporal patterns.


id: 8b74e101-799f-4c1e-a8f7-6c9f8691c71e
type: decision
source_type: session_end
tags: predictor,rrf,ranking
created_at: 2026-02-25T16:05:25.132Z
updated_at: 2026-02-25T16:05:25.132Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 648113cb-2b90-4fc9-b169-a9f8bed33b12
last_accessed: 2026-02-25T16:19:46.234Z
extraction_status: none
content:
  Reciprocal Rank Fusion constant k should be 10–15 for memory reranking (not 60), tuned for ~50 candidate memories rather than thousand-item document retrieval; k=60 compresses rank variance when candidate lists are small.


id: dbb50961-6dda-48d8-88c2-46bbf03a8bcc
type: fact
source_type: session_end
tags: predictor,validation
created_at: 2026-02-25T16:05:25.132Z
updated_at: 2026-02-25T16:05:25.132Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 648113cb-2b90-4fc9-b169-a9f8bed33b12
extraction_status: none
content:
  The predictive memory scorer architecture—RRF fusion, outcome-driven labels, zero-dependency Rust sidecar—is validated as pragmatic and sound by external review; North Star vision is credible.


id: 09a2cb54-973b-4efc-aeaf-2493be398f0b
type: fact
source_type: session_end
tags: predictor,rrf,ema
created_at: 2026-02-25T16:05:25.132Z
updated_at: 2026-02-25T16:05:25.132Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 648113cb-2b90-4fc9-b169-a9f8bed33b12
extraction_status: none
content:
  Dynamic baseline weighting via RRF parameterized by EMA(NDCG success rate) guarantees graceful degradation: the predictor must earn influence through demonstrated performance rather than starting with fixed blend weights.


id: be9fca4c-9221-4781-a0f7-51ff90402b3f
type: fact
source_id: openclaw:2026-02-25-predictive-memory-scorer-spec-review-feedback-inte:7c49f748f4bf6d28
source_type: openclaw-memory-log
created_at: 2026-02-25T16:05:25.140Z
updated_at: 2026-02-25T16:05:25.140Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 77afffd07a6ae92ac7b76190dbbf11ac1ecb18976b94b31696e88226689a2abd
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  ## Predictive Memory Scorer Spec Review & Feedback Integration Nicholai received detailed external code review feedback on the predictive memory scorer specification (`docs/wip/predictive-memory-scorer.md`). The reviewer provided high-level validation of the overall architecture—calling it "exceptionally well-thought-out" and praising the North Star vision ("difference between a tool that remembers and a mind that persists")—while identifying five concrete technical refinements.

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-predictive-memory-scorer-spec-review-feedback-inte,hierarchical-section

normalized_content:
  ## predictive memory scorer spec review & feedback integration nicholai received detailed external code review feedback on the predictive memory scorer specification (`docs/wip/predictive-memory-scorer.md`). the reviewer provided high-level validation of the overall architecture—calling it "exceptionally well-thought-out" and praising the north star vision ("difference between a tool that remembers and a mind that persists")—while identifying five concrete technical refinements


id: bc1438b5-c5f3-41cb-bdcd-4d902537ea78
type: fact
source_id: openclaw:2026-02-25-predictive-memory-scorer-spec-review-feedback-inte:465b30b5de3eda90
source_type: openclaw-memory-log
created_at: 2026-02-25T16:05:25.174Z
updated_at: 2026-02-25T16:24:53.188Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: d694487367d5df03e9eacc2ea2e870486a1c7a77ea0d49bd1ab0712c3c279a7f
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Nicholai received detailed external code review feedback on the predictive memory scorer specification

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-predictive-memory-scorer-spec-review-feedback-inte,hierarchical-section

normalized_content:
  nicholai received detailed external code review feedback on the predictive memory scorer specification


id: 0ed165b8-2d9f-4772-bd29-81e296ae93c4
type: fact
source_id: ebe807ea-c692-4f17-b432-86e4baf03e03
source_type: chunk
created_at: 2026-02-25T16:05:25.207Z
updated_at: 2026-02-25T16:05:25.207Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 4f16eb421b13236ef45996ac2fb121ec6a06e5c04fe1881412b9cbc7db25d918
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  ### Five Technical Refinements Identified 1. **HashTrick bucket count**: Bump from 4,096 to 16,384 to reduce collisions in code-heavy memories (still ~1.1M parameters, fits L2 cache) 2.

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-predictive-memory-scorer-spec-review-feedback-inte,hierarchical-section

normalized_content:
  ### five technical refinements identified 1. **hashtrick bucket count**: bump from 4,096 to 16,384 to reduce collisions in code-heavy memories (still ~1.1m parameters, fits l2 cache) 2


id: ddd13670-c284-43be-b09f-a2c264f2fddf
type: semantic
source_id: ebe807ea-c692-4f17-b432-86e4baf03e03
source_type: chunk
created_at: 2026-02-25T16:05:25.207Z
updated_at: 2026-02-25T16:27:22.479Z
updated_by: pipeline-v2
vector_clock: {}
who: openclaw-memory
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content_hash: 133fbfb4aed23857c4034158f06c2657a9b5d50ba3509ee0684bdf218298c67f
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Temperature T < 1.0 in softmax sharpens a probability distribution by concentrating probability mass into peaked distributions rather than uniform distributions, making soft labels more selective

tags:
[cell repeats an earlier one in this file: 113 characters]

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


id: 764e7351-4189-403c-8a5f-025401ede90e
type: fact
source_id: ebe807ea-c692-4f17-b432-86e4baf03e03
source_type: chunk
created_at: 2026-02-25T16:05:25.207Z
updated_at: 2026-02-25T16:05:25.207Z
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who: openclaw-memory
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extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  **Negative sample filtering**: Apply cosine similarity filter before assigning strict 0.0 labels; prevents training model to replicate baseline mistakes 4.

tags:
[cell repeats an earlier one in this file: 113 characters]

normalized_content:
  **negative sample filtering**: apply cosine similarity filter before assigning strict 0.0 labels; prevents training model to replicate baseline mistakes 4


id: 5f58b02e-802a-482d-aa4d-5623d5293df5
type: fact
source_id: ebe807ea-c692-4f17-b432-86e4baf03e03
source_type: chunk
created_at: 2026-02-25T16:05:25.207Z
updated_at: 2026-02-25T16:05:25.207Z
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who: openclaw-memory
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content_hash: 1f61e489df131c216d9c24408011d7901160d0d3b412dbf984bd064b99cc58ce
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  **Drift reset strategy**: Use replay buffer (80% recent + 20% historical by continuity score) instead of 2x learning rate to avoid catastrophic forgetting 5.

tags:
[cell repeats an earlier one in this file: 113 characters]

normalized_content:
  **drift reset strategy**: use replay buffer (80% recent + 20% historical by continuity score) instead of 2x learning rate to avoid catastrophic forgetting 5


id: c25213b3-6893-4405-9eb9-cd72417b4cd8
type: fact
source_id: ebe807ea-c692-4f17-b432-86e4baf03e03
source_type: chunk
created_at: 2026-02-25T16:05:25.207Z
updated_at: 2026-02-25T16:05:25.207Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
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content_hash: c72d60778a02c96cfa220cbbae6668fb7d5eeb3b7562f388966abc96b53fc0b2
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  **RRF constant k**: Drop from 60 to 10–15 for ~50 candidate memories; k=60 compresses rank variance when candidate list is small All five recommendations are sound and likely to be incorporated into the specification.

tags:
[cell repeats an earlier one in this file: 113 characters]

normalized_content:
  **rrf constant k**: drop from 60 to 10–15 for ~50 candidate memories; k=60 compresses rank variance when candidate list is small all five recommendations are sound and likely to be incorporated into the specification


id: 68ceefde-6dfa-4103-9a78-1600f4af4e35
type: procedural
source_id: aac51630-fa33-48ec-8c6e-6779db4dbd9c
source_type: pipeline-v2
created_at: 2026-02-25T16:09:51.232Z
updated_at: 2026-02-25T16:09:51.232Z
updated_by: pipeline-v2
vector_clock: {}
who: pipeline-v2
why: extracted-fact
content_hash: 13f9074c7500adafbd014ebbfacdddd52e51358cf6adecf0723d6857dd4630a9
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Development exploration included reviewing existing visualization approaches to inform implementation strategy

normalized_content:
  development exploration included reviewing existing visualization approaches to inform implementation strategy


id: 0f6236bb-2f59-4ff9-994d-584286395cf0
type: fact
source_type: session_end
tags: signet,memory-database,schema
created_at: 2026-02-25T16:27:08.302Z
updated_at: 2026-02-25T16:27:08.302Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai/references/microgpt
session_id: 97870516-db2f-455c-9c98-0a2333cf7e3c
extraction_status: none
content:
  The memories.db at ~/.agents/memory/memories.db contains 5348 memory records with fields: id, type, category, content, confidence, tags, importance, created_at, updated_at, source_type, source_id, extraction_status, and embedding metadata.


id: 1f56dc9a-068b-470f-b122-67bcd0848aa7
type: fact
source_type: session_end
tags: microgpt,model-architecture
created_at: 2026-02-25T16:27:08.302Z
updated_at: 2026-02-25T16:27:08.302Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai/references/microgpt
session_id: 97870516-db2f-455c-9c98-0a2333cf7e3c
extraction_status: none
content:
  The microgpt character-level GPT implementation (Rust) is very small: 48 embedding dimensions, 2 transformer layers, 4 attention heads, trained on line-delimited text input.


id: 23d97990-d691-46ec-beb4-86e0fa6abebe
type: decision
source_type: session_end
tags: microgpt,experiment-idea,memory-database
created_at: 2026-02-25T16:27:08.302Z
updated_at: 2026-02-25T16:27:08.302Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai/references/microgpt
session_id: 97870516-db2f-455c-9c98-0a2333cf7e3c
extraction_status: none
content:
  Proposed experiment: extract memory content from memories.db as line-delimited text and train microgpt on personal memory data to observe model-generated 'hallucinations' as a funhouse mirror of Nicholai's knowledge.


id: 94c3764f-d3c2-41f4-a204-3fe6129024f7
type: fact
source_id: da76b192-6524-48dd-a168-8aca309695c9
source_type: chunk
created_at: 2026-02-25T16:27:08.308Z
updated_at: 2026-02-25T16:27:08.308Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 4daa37d3477dbe50f4d95fc817020bf56bbeac626de9f055fdaf8addad6e11df
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  ## Exploring Character-Level GPT Training on Memory Database Nicholai proposed training the microgpt character-level model (Rust implementation at `references/microgpt/src/main.rs`) on personal memory data from `~/.agents/memory/memories.db` to see what the model "hallucinates" - essentially a funhouse-mirror experiment on his own agent memories.

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-exploring-character-level-gpt-training-on-memory-d,hierarchical-section

normalized_content:
  ## exploring character-level gpt training on memory database nicholai proposed training the microgpt character-level model (rust implementation at `references/microgpt/src/main.rs`) on personal memory data from `~/.agents/memory/memories.db` to see what the model "hallucinates" - essentially a funhouse-mirror experiment on his own agent memories


id: 4e869c1d-97ab-4422-9069-4dd57d5265cb
type: preference
source_id: da76b192-6524-48dd-a168-8aca309695c9
source_type: chunk
created_at: 2026-02-25T16:27:08.308Z
updated_at: 2026-02-25T16:27:08.308Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 7bc825e30c4bfe25da5390b015f259cb5fb02e23a1bcf48a3183d63ded4ef423
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Investigated the memories database schema and found 5348 memory records. The `memories` table contains rich metadata: content (TEXT), type (fact/preference/decision/etc), tags, importance (0.0-1.0), confidence, category, timestamps, source tracking, and extraction status.

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-exploring-character-level-gpt-training-on-memory-d,hierarchical-section

normalized_content:
  investigated the memories database schema and found 5348 memory records. the `memories` table contains rich metadata: content (text), type (fact/preference/decision/etc), tags, importance (0.0-1.0), confidence, category, timestamps, source tracking, and extraction status


id: ffaf3a74-b01d-4698-894e-9ed2f0f25a4d
type: fact
source_id: da76b192-6524-48dd-a168-8aca309695c9
source_type: chunk
created_at: 2026-02-25T16:27:08.308Z
updated_at: 2026-02-25T16:27:08.308Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 5d395f34ed3e1a508084f59edeea226ae37d7ac5c849f60f891dff425a1cff6c
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The database includes FTS5 full-text search indexes and vector embeddings infrastructure. The character-level model is tiny (48 embedding dimensions, 2 layers, 4 attention heads) and expects line-delimited text input.

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-exploring-character-level-gpt-training-on-memory-d,hierarchical-section

normalized_content:
  the database includes fts5 full-text search indexes and vector embeddings infrastructure. the character-level model is tiny (48 embedding dimensions, 2 layers, 4 attention heads) and expects line-delimited text input


id: 9afb3e82-bc69-4c30-a583-1b541c8c6c79
type: fact
source_id: da76b192-6524-48dd-a168-8aca309695c9
source_type: chunk
created_at: 2026-02-25T16:27:08.308Z
updated_at: 2026-02-25T16:27:08.308Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: a77d3bf8816b270e78b0468990f1957e7cac1e28462f4b94efa86db2ab1b6ce1
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The feasibility depends on extracting memories in a format the model can meaningfully learn from—raw content lines or structured summaries. No implementation work began; this was pure exploration of the concept and data shape.

tags:
[cell repeats an earlier one in this file: 113 characters]

normalized_content:
  the feasibility depends on extracting memories in a format the model can meaningfully learn from—raw content lines or structured summaries. no implementation work began; this was pure exploration of the concept and data shape


id: 2ab333a9-0aa3-4b2a-b4f2-ba367d640d22
type: issue
source_id: f7f5c266-6128-476a-b17a-e231c407bd7c
source_type: chunk
tags: openclaw,memory-log,2026-02-25,2026-02-25-bug-hunt-session-initiated,hierarchical-section
created_at: 2026-02-25T17:03:44.709Z
updated_at: 2026-02-25T17:03:44.709Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 29a495899b18dc10c349feb8ccb1f79bc74cf8973d18f52e1ce02395d7117798
extraction_status: pending
embedding_model: nomic-embed-text
content:
  ## Bug Hunt Session Initiated Nicholai tasked Claude to find and fix bugs in the signetai codebase, prioritizing issues that break functionality.

normalized_content:
  ## bug hunt session initiated nicholai tasked claude to find and fix bugs in the signetai codebase, prioritizing issues that break functionality


id: 5555beba-ebb2-4cd9-a537-da76e0b4f216
type: fact
source_id: f7f5c266-6128-476a-b17a-e231c407bd7c
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tags: openclaw,memory-log,2026-02-25,2026-02-25-bug-hunt-session-initiated,hierarchical-section
created_at: 2026-02-25T17:03:44.709Z
updated_at: 2026-02-25T17:03:44.709Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: b992d991790711756fc277f14ba0700fc1c9bd147067340872d0eec5f18f2347
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  Initial exploration began by examining the core types system, particularly the LlmProvider interface and pipeline configuration types in `packages/core/src/types.ts`. The session started in plan mode to scope the investigation before implementation.

normalized_content:
  initial exploration began by examining the core types system, particularly the llmprovider interface and pipeline configuration types in `packages/core/src/types.ts`. the session started in plan mode to scope the investigation before implementation


id: 1c4cfb01-f62c-48b2-9ff6-36a137345a79
type: fact
source_id: b9b4f5d8-81c7-4cec-8b6e-2ba54b2bde38
source_type: chunk
created_at: 2026-02-25T17:03:45.508Z
updated_at: 2026-02-25T17:03:45.508Z
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who: openclaw-memory
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content_hash: 25b4818ff0bf1916cd68df1b128c06a2d57a76f385df09c58474ae719f15c193
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  **Listwise loss temperature**: Use T < 1.0 to sharpen soft label distributions; flat P_true from continuity scorer soft labels requires aggressive sharpening 3.

tags:
[cell repeats an earlier one in this file: 113 characters]

normalized_content:
  **listwise loss temperature**: use t < 1.0 to sharpen soft label distributions; flat p_true from continuity scorer soft labels requires aggressive sharpening 3


id: 76a12047-958d-4cd6-b7bf-0fd2f2aeda5f
type: learning
source_id: 46b0e883-db49-451a-813e-a88bb635b8ce
source_type: chunk
created_at: 2026-02-25T17:03:45.540Z
updated_at: 2026-02-25T17:03:45.540Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
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content_hash: 2881d57fc9dae72a3a11e49e313d8e63334fab9b21d78633813066d1130d2ccf
extraction_status: completed
embedding_model: nomic-embed-text
extraction_model: haiku
content:
  The document outlines a comprehensive system for training a per-user memory ranking model that evolves from heuristic baseline scoring (decay + BM25) to learned predictions using a lightweight cross-attention architecture.

tags:
[cell repeats an earlier one in this file: 107 characters]

normalized_content:
  the document outlines a comprehensive system for training a per-user memory ranking model that evolves from heuristic baseline scoring (decay + bm25) to learned predictions using a lightweight cross-attention architecture


id: 99323a4c-d589-4f4d-afe2-654eb5fcc9c9
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source_id: 46b0e883-db49-451a-813e-a88bb635b8ce
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created_at: 2026-02-25T17:03:45.540Z
updated_at: 2026-02-25T17:03:45.540Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 094680a0d4583b55d6c9793c371abb2ee90bc46338e199ca2cdf9e380afccd4b
extraction_status: pending
embedding_model: nomic-embed-text
content:
  RRF-based ranking fusion with earned influence (α) that adjusts based on session-end NDCG comparison wins. Cold start with pure baseline fallback, progressing to active prediction after 10+ sessions and >40% success rate threshold.

tags:
[cell repeats an earlier one in this file: 107 characters]

normalized_content:
  rrf-based ranking fusion with earned influence (α) that adjusts based on session-end ndcg comparison wins. cold start with pure baseline fallback, progressing to active prediction after 10+ sessions and >40% success rate threshold


id: e4c14c73-3633-4d70-a356-92fbd7cbc102
type: fact
source_id: a5a5946e-621a-4aff-9672-9a36ea040cd6
source_type: chunk
created_at: 2026-02-25T17:03:45.627Z
updated_at: 2026-02-25T17:03:45.627Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: ab800a7638ad330063366715d3dded89a977b844310595ee5fde1fa0f6c4f79e
extraction_status: pending
embedding_model: nomic-embed-text
content:
  ## Pipeline Visualization Feature Planning Nicholai requested adding a real-time, interactive visualization of the memory pipeline to the Signet dashboard—converting the static diagrams (public/memory-loop-v2.jpg and docs/memory-loop.mmd) into a live component showing data flowing through extraction workers, database operations, and retention systems.

tags:
[cell repeats an earlier one in this file: 102 characters]

normalized_content:
  ## pipeline visualization feature planning nicholai requested adding a real-time, interactive visualization of the memory pipeline to the signet dashboard—converting the static diagrams (public/memory-loop-v2.jpg and docs/memory-loop.mmd) into a live component showing data flowing through extraction workers, database operations, and retention systems


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source_id: 3cda8896-198b-42f9-8f1c-b0f4004a177c
source_type: chunk
created_at: 2026-02-25T17:03:45.659Z
updated_at: 2026-02-25T17:03:45.659Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: b5ed472cf2bc36a88e37de50e86d0a734bfa0b0d5ad5bfb5b39fe0e05a20bde8
extraction_status: pending
embedding_model: nomic-embed-text
content:
  **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.

tags:
[cell repeats an earlier one in this file: 110 characters]

normalized_content:
  **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


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created_at: 2026-02-25T17:03:45.742Z
updated_at: 2026-02-25T17:03:45.742Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: bcb738499e6328ff615a1f11675c3341d50ed82aa355534e60269840a3d9b96d
extraction_status: pending
embedding_model: nomic-embed-text
content:
  The session focused on understanding OpenClaw's architecture and contribution protocols to propose a high-impact feature.

tags:
[cell repeats an earlier one in this file: 102 characters]

normalized_content:
  the session focused on understanding openclaw's architecture and contribution protocols to propose a high-impact feature


id: cc0dfd67-8647-4618-bfab-adcd01f3892b
type: fact
source_id: af6cf6e9-8ed3-4889-899b-b70833557b7a
source_type: chunk
created_at: 2026-02-25T17:03:45.742Z
updated_at: 2026-02-25T17:03:45.742Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 37d7743ef5fafe02e0a0550deb7764bc5fbc4c874fbcd180be7c5e16331ac647
extraction_status: pending
embedding_model: nomic-embed-text
content:
  Initially deployed an Explore agent to investigate: - OpenClaw's memory-lancedb extension/plugin implementation (storage, search, creation patterns) - OpenClaw's plugin/extension architecture and registration APIs - Contribution guidelines (PR templates, CONTRIBUTING.md) - Memory-core base interfaces The research phase aimed to understand OpenClaw's exact memory tool schemas, search implementations, and storage formats before proposing a contribution.

tags:
[cell repeats an earlier one in this file: 102 characters]

normalized_content:
  initially deployed an explore agent to investigate: - openclaw's memory-lancedb extension/plugin implementation (storage, search, creation patterns) - openclaw's plugin/extension architecture and registration apis - contribution guidelines (pr templates, contributing.md) - memory-core base interfaces the research phase aimed to understand openclaw's exact memory tool schemas, search implementations, and storage formats before proposing a contribution


id: d6d4d4cf-737c-47d1-b8a9-1e7b9ce87192
type: fact
source_id: 4bbe61db-1c8e-4b61-bab1-6985dec81904
source_type: chunk
created_at: 2026-02-25T17:03:45.788Z
updated_at: 2026-02-25T17:03:45.788Z
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vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: bbe0ce6a467f983b7e4045acd8abfc04a058b0d0ea7985f66f84cb2a2a3848ca
extraction_status: pending
embedding_model: nomic-embed-text
content:
  CI workflow modification adds changelog generation to release process, appending CHANGELOG.md to the release commit alongside version bumps.

tags:
[cell repeats an earlier one in this file: 102 characters]

normalized_content:
  ci workflow modification adds changelog generation to release process, appending changelog.md to the release commit alongside version bumps


id: acdc4385-8929-4ed1-b8ef-d63840e09b04
type: fact
source_id: fb7e2799-5323-443f-b8f0-86bb7cbf8efd
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created_at: 2026-02-25T17:03:45.812Z
updated_at: 2026-02-25T17:03:45.812Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: eb9251d4f08dcdada51fcfe9df4efdf1cfa4fb493f26566245ea80662996a173
extraction_status: pending
embedding_model: nomic-embed-text
content:
  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.).

tags:
[cell repeats an earlier one in this file: 108 characters]

normalized_content:
  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.)


id: ac31984e-c6f6-42fb-9972-c76a236899ef
type: fact
source_id: afc5c228-e17a-4ec7-bb60-59dc6d97768d
source_type: chunk
created_at: 2026-02-25T17:03:45.872Z
updated_at: 2026-02-25T17:03:45.872Z
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vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 99d3ccc32af3d8d19130e91802c932a8628dd87fbc8ba488afea10f7632bac23
extraction_status: pending
embedding_model: nomic-embed-text
content:
  ## VISION.md Gap Analysis and Enhancement Nicholai identified a potential gap between the predictive-memory-scorer.md technical plan and the high-level vision document, asking whether new concepts should be elevated to VISION.md.

tags:
[cell repeats an earlier one in this file: 101 characters]

normalized_content:
  ## vision.md gap analysis and enhancement nicholai identified a potential gap between the predictive-memory-scorer.md technical plan and the high-level vision document, asking whether new concepts should be elevated to vision.md


id: 8f25350c-9823-4f99-ba42-a063298c53e6
type: fact
source_id: afc5c228-e17a-4ec7-bb60-59dc6d97768d
source_type: chunk
created_at: 2026-02-25T17:03:45.872Z
updated_at: 2026-02-25T17:03:45.872Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 88e44f6b20b7ba6c39fc09b6a0b09a50ff7f76c5603614555c115765873a658d
extraction_status: pending
embedding_model: nomic-embed-text
content:
  The predictive-memory-scorer.md captures this elegantly: a per-user model trained on interaction history that learns what makes memories relevant, what temporal patterns matter, and which memories actually helped. Critically, this model trains locally with no cloud infrastructure or shared weights.

tags:
[cell repeats an earlier one in this file: 101 characters]

normalized_content:
  the predictive-memory-scorer.md captures this elegantly: a per-user model trained on interaction history that learns what makes memories relevant, what temporal patterns matter, and which memories actually helped. critically, this model trains locally with no cloud infrastructure or shared weights


id: 98befb99-061b-4f60-8296-041485e25eaf
type: fact
source_id: afc5c228-e17a-4ec7-bb60-59dc6d97768d
source_type: chunk
created_at: 2026-02-25T17:03:45.872Z
updated_at: 2026-02-25T17:03:45.872Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: e042cdfaceaaf3bab456ab86e3d9e55d7f31489d23e73147a18c2da09853843b
extraction_status: pending
embedding_model: nomic-embed-text
content:
  Proposed addition to VISION.md's continuity section: "Signet doesn't just remember — it learns what to remember. A model unique to each user, trained on their own interaction patterns, that gets sharper the longer you use it. No cloud. No shared weights.

tags:
[cell repeats an earlier one in this file: 101 characters]

normalized_content:
  proposed addition to vision.md's continuity section: "signet doesn't just remember — it learns what to remember. a model unique to each user, trained on their own interaction patterns, that gets sharper the longer you use it. no cloud. no shared weights


id: a20f7872-b13e-413f-90e8-19ee000d020b
type: fact
source_id: afc5c228-e17a-4ec7-bb60-59dc6d97768d
source_type: chunk
created_at: 2026-02-25T17:03:45.872Z
updated_at: 2026-02-25T17:03:45.872Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: 83119faf3270daed52a3f22655bcb86e0e56fa619cf1a6f7f2d52789aa3b192c
extraction_status: pending
embedding_model: nomic-embed-text
content:
  Your patterns, running locally." This reinforces the decentralization thesis already in VISION.md while grounding it in a concrete, time-improving capability. The addition was accepted and applied.

tags:
[cell repeats an earlier one in this file: 101 characters]

normalized_content:
  your patterns, running locally." this reinforces the decentralization thesis already in vision.md while grounding it in a concrete, time-improving capability. the addition was accepted and applied


id: f6e76f41-f5e5-423d-8d0d-e4b2ce076198
type: fact
source_id: dbe98d3e-2df0-4c7f-84e1-a0dd8c731b56
source_type: chunk
tags: openclaw,memory-log,2026-02-25,2026-02-25-refactoring-exploration-initiative,hierarchical-section
created_at: 2026-02-25T17:03:46.014Z
updated_at: 2026-02-25T17:03:46.014Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
content_hash: bdd80d510aada9bce1c9b62470d8b4134d9538e18af16c8ba49889a5b9bb5ec5
extraction_status: pending
embedding_model: nomic-embed-text
content:
  Second agent tasked with detecting TypeScript discipline violations and duplication: - Scanning for `as` type assertions (violates project convention) - Detecting `any` types (should use `unknown` with narrowing per CLAUDE.md) - Finding `!` non-null assertions (should be explicit null checks) - Id

normalized_content:
  second agent tasked with detecting typescript discipline violations and duplication: - scanning for `as` type assertions (violates project convention) - detecting `any` types (should use `unknown` with narrowing per claude.md) - finding `!` non-null assertions (should be explicit null checks) - id


id: a1f1fad4-cc38-4424-ae68-f5f1aaae487b
type: fact
source_id: 75871caf-c141-4225-8d82-6541747069f3
source_type: chunk
created_at: 2026-02-25T17:03:46.057Z
updated_at: 2026-02-25T17:03:46.057Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-25T17:09:55.982Z
content_hash: 3b7a806d6cccb6c3ff30a03aad271b0c4f28d07520e076ce60c2de13fddcd34a
extraction_status: pending
embedding_model: nomic-embed-text
content:
  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.

tags:
[cell repeats an earlier one in this file: 100 characters]

normalized_content:
  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


id: 686d637d-1999-4166-8ece-cca12d18d188
type: fact
source_id: 75871caf-c141-4225-8d82-6541747069f3
source_type: chunk
created_at: 2026-02-25T17:03:46.057Z
updated_at: 2026-02-25T17:03:46.057Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-25T17:09:55.982Z
content_hash: 422165f80cdbb83f81b0f29c895f450f01a71e3cc667a9485362f6d23eeb8317
extraction_status: pending
embedding_model: nomic-embed-text
content:
  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.

tags:
[cell repeats an earlier one in this file: 100 characters]

normalized_content:
  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


id: c1d973c0-bcc5-41b8-9c50-ecfe58312ba1
type: fact
source_id: 66c4f64c-5d11-4ede-bfad-4a5e63e5e40f
source_type: chunk
created_at: 2026-02-25T17:03:46.145Z
updated_at: 2026-02-25T17:03:46.145Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-25T17:09:55.982Z
content_hash: 3cc21716e39b8e70750d8a7183d6dfd2117d7cc414d479b630ebfcc2f33d4fe8
extraction_status: pending
embedding_model: nomic-embed-text
content:
  Implementation is planned in 8 phases: project scaffold, Rust core (main/lib/tray), platform abstraction, IPC commands, TypeScript state/menu builders, polling loop, icons, and build verification. Autostart, notifications, and platform-specific launchd/Windows support are deferred to future phases.

tags:
[cell repeats an earlier one in this file: 108 characters]

normalized_content:
  implementation is planned in 8 phases: project scaffold, rust core (main/lib/tray), platform abstraction, ipc commands, typescript state/menu builders, polling loop, icons, and build verification. autostart, notifications, and platform-specific launchd/windows support are deferred to future phases


id: b68051b1-4a10-4c79-becc-60caa80f99cf
type: fact
source_id: 5b8ce4b3-e069-4d2c-b8e2-248f777d5733
source_type: chunk
tags: openclaw,memory-log,2026-02-25,2026-02-25-openclaw-plugin-tool-exploration,hierarchical-section
created_at: 2026-02-25T17:03:46.232Z
updated_at: 2026-02-25T17:03:46.232Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-25T17:09:55.982Z
content_hash: 94cf690111335373877cae0f5ec4440a8abf6f3e58505f514641a4b736d41b93
extraction_status: pending
embedding_model: nomic-embed-text
content:
  ## 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.

normalized_content:
  ## 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


id: fb1fa031-b548-4e1a-8420-3e9105c50d01
type: fact
source_id: cc2ba282-bf31-4b3e-91a2-b08f2eac9b89
source_type: chunk
tags: openclaw,memory-log,2026-02-25,2026-02-25-portfolio-website-skill-creation,hierarchical-section
created_at: 2026-02-25T17:03:46.265Z
updated_at: 2026-02-25T17:03:46.265Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-25T17:09:55.982Z
content_hash: f32f74c06a627bf7fc4ffd3a6e41430a0caf39476524d1fdfcb0bf1f5a3063d3
extraction_status: pending
embedding_model: nomic-embed-text
content:
  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.

normalized_content:
  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


id: 402ab503-7507-46ca-8b82-cf500db0e7f8
type: fact
source_id: 3d9628c2-7d73-4aae-831d-55799c9ec371
source_type: chunk
tags: openclaw,memory-log,2026-02-23,2026-02-23-dashboard-ui-component-standards,hierarchical-section
created_at: 2026-02-25T17:03:46.298Z
updated_at: 2026-02-25T17:03:46.298Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-25T17:09:55.982Z
content_hash: 33b68b4f6ed3096405d96c443d4155a3e40d3396775fbd6696e90e7779caba5a
extraction_status: pending
embedding_model: nomic-embed-text
content:
  ## 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.

normalized_content:
  ## 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


id: 1b94b976-dbd0-41d2-9375-cf24a2320cae
type: fact
source_id: 3d9628c2-7d73-4aae-831d-55799c9ec371
source_type: chunk
tags: openclaw,memory-log,2026-02-23,2026-02-23-dashboard-ui-component-standards,hierarchical-section
created_at: 2026-02-25T17:03:46.298Z
updated_at: 2026-02-25T17:03:46.298Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-25T17:09:55.982Z
content_hash: 47bcc557765781c2ac85bc0064fbc28225da2c0be3fa0f00358ee74124c7b0f5
extraction_status: pending
embedding_model: nomic-embed-text
content:
  The guidance was to be added to the AGENTS.md file to standardize component selection and prevent custom implementations when shadcn-svelte alternatives exist.

normalized_content:
  the guidance was to be added to the agents.md file to standardize component selection and prevent custom implementations when shadcn-svelte alternatives exist


id: 193c203b-02f9-49ed-8b43-fea529b49d8c
type: fact
source_id: 0b67d146-5673-4b8d-b265-8842f02750ca
source_type: chunk
created_at: 2026-02-25T17:03:46.352Z
updated_at: 2026-02-25T17:03:46.352Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-25T17:09:55.982Z
content_hash: 1eb3e27740bbc9b808720bc2b7a6e3771e8aa6e0237c45258c7d5ca6937c0245
extraction_status: pending
embedding_model: nomic-embed-text
content:
  ## Recursive Extraction Loop Prevention Implementation Nicholai implemented a multi-layer guard mechanism to prevent infinite recursive extraction loops in the Signet daemon scheduler.

tags:
[cell repeats an earlier one in this file: 113 characters]

normalized_content:
  ## recursive extraction loop prevention implementation nicholai implemented a multi-layer guard mechanism to prevent infinite recursive extraction loops in the signet daemon scheduler


id: f2c15716-0bcd-4cb9-b85c-d8e91042990f
type: fact
source_type: session_end
tags: predictor,architecture,parameter-budget
created_at: 2026-02-25T17:14:01.234Z
updated_at: 2026-02-25T17:14:01.234Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: f125b64c-730c-4e7b-bda0-f0975cd60c15
last_accessed: 2026-02-26T06:18:35.804Z
extraction_status: none
content:
  The predictive-memory-scorer design targets 1.11M parameters total: 1.048M for HashTrick embeddings (16K x 64), 49K for downprojection (768→64), 4K each for Q/K projections, 2K for V projection, 2K for project embedding table (32 x 64), with layer norm and gate layers comprising the remainder


id: b6b041aa-e63a-4c6a-8951-67469944030d
type: fact
source_type: session_end
tags: predictor,model-design,embeddings
created_at: 2026-02-25T17:14:01.234Z
updated_at: 2026-02-25T17:14:01.234Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: f125b64c-730c-4e7b-bda0-f0975cd60c15
last_accessed: 2026-02-26T06:18:35.804Z
extraction_status: none
content:
  Cross-attention scorer uses two encoding paths: pre-embedded path (768→64 downprojection) and text path (HashTrick + mean pooling), with per-path layer normalization for scale compatibility and an is_embedded indicator feature (1 dim) to allow the model to learn path-specific calibration


id: bad03666-906f-469d-a889-842d4d8afe27
type: fact
source_type: session_end
tags: predictor,training,loss-function
created_at: 2026-02-25T17:14:01.234Z
updated_at: 2026-02-25T17:14:01.234Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: f125b64c-730c-4e7b-bda0-f0975cd60c15
last_accessed: 2026-02-26T06:18:35.804Z
extraction_status: none
content:
  ListNet-style listwise ranking loss uses KL divergence between softmax distributions of model scores and true relevance labels with configurable temperature (default 0.5) to sharpen soft label discrimination; sessions with low label variance are applied more aggressive sharpening (T=0.3) or skipped entirely


id: 1449a3c5-fa00-479a-9ac2-0eac717efb1f
type: fact
source_type: session_end
tags: predictor,fusion,ranking
created_at: 2026-02-25T17:14:01.234Z
updated_at: 2026-02-25T17:14:01.234Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: f125b64c-730c-4e7b-bda0-f0975cd60c15
last_accessed: 2026-02-26T06:18:35.804Z
extraction_status: none
content:
  RRF (Reciprocal Rank Fusion) fusion formula: RRF_score = α/(k+rank_baseline) + (1-α)/(k+rank_predictor) with k=12 (tuned for ~50 candidates, lower than standard k=60 which is sized for 1000+ document retrieval); α starts at 1.0 and decreases as predictor demonstrates success via NDCG@10 comparisons


id: 2e033800-0e79-47d0-96eb-0550ecebd88e
type: decision
source_type: session_end
tags: predictor,cold-start,ramp-up
created_at: 2026-02-25T17:14:01.234Z
updated_at: 2026-02-25T17:14:01.234Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: f125b64c-730c-4e7b-bda0-f0975cd60c15
last_accessed: 2026-02-26T06:18:35.804Z
extraction_status: none
content:
  Cold start gate uses three conditions: (1) first training completed, (2) session_count ≥ minTrainingSessions (default 10), (3) success_rate > 0.4 over last 10 comparisons; until all three pass, α locked at 1.0 (pure baseline). Early active ramp caps influence at 0.2 (sessions 1-10) and 0.4 (sessions 11-20) post cold-start


id: c8021bf1-acdc-4674-b629-7202440feed2
type: fact
source_type: session_end
tags: predictor,diversity,post-processing
created_at: 2026-02-25T17:14:01.234Z
updated_at: 2026-02-25T17:14:01.234Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: f125b64c-730c-4e7b-bda0-f0975cd60c15
extraction_status: none
content:
  Topic diversity post-scoring applies exponential decay to prevent redundancy: second memory on same topic (>0.85 cosine similarity) gets ~0.55x credit, third gets ~0.33x, with 0.1 floor (never fully suppress even 4th overlapping memory); uses pre-stored embeddings (no extra calls)


id: 74a375f6-3d6c-4893-afa4-bc2703df30dc
type: fact
source_type: session_end
tags: predictor,data-pipeline,schema
created_at: 2026-02-25T17:14:01.234Z
updated_at: 2026-02-25T17:14:01.234Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: f125b64c-730c-4e7b-bda0-f0975cd60c15
last_accessed: 2026-02-25T20:55:58.283Z
extraction_status: none
content:
  Session-memory linkage implemented via new session_memories table tracking: source (effective/predictor/both/exploration/fts_only), effective_score, predictor_score, final_score, rank, was_injected, relevance_score (filled by continuity scorer), fts_hit_count (incremented by userPromptSubmit), with UNIQUE constraint on (session_key, memory_id)


id: 3dba0442-a431-428a-bd82-7f1a0d8ce532
type: fact
source_type: session_end
tags: predictor,training-signals,behavioral
created_at: 2026-02-25T17:14:01.234Z
updated_at: 2026-02-25T17:14:01.234Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: f125b64c-730c-4e7b-bda0-f0975cd60c15
extraction_status: none
content:
  Training signals blend continuity scorer labels (0-1 per-memory relevance) with behavioral FTS overlap signals: injected + FTS-matched gets +0.1 boost (capped 1.0), not-injected + FTS-matched ≥2x gets min(0.6, similarity_label), injected + never-matched + continuity <0.3 gets -0.1; superseded memories receive label -0.3 (negative signal to avoid injection)


id: dd3d6b19-8fef-433b-aabc-5929b0e503db
type: fact
source_type: session_end
tags: predictor,drift,recovery
created_at: 2026-02-25T17:14:01.234Z
updated_at: 2026-02-25T17:14:01.234Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: f125b64c-730c-4e7b-bda0-f0975cd60c15
extraction_status: none
content:
  Drift detection and recovery: if success_rate < driftResetThreshold for driftResetWindow consecutive sessions, reset α to 1.0, trigger retrain with replay buffer (80% recent / 20% historical top-K), reset EMA to 0.5 (neutral), increment drift_resets counter; replay buffer preserves learned temporal patterns while adapting to new usage


id: 2fc5ff34-579c-489b-9169-b7bf25aa0e7c
type: fact
source_type: session_end
tags: predictor,pre-filter,latency
created_at: 2026-02-25T17:14:01.234Z
updated_at: 2026-02-25T17:14:01.234Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: f125b64c-730c-4e7b-bda0-f0975cd60c15
extraction_status: none
content:
  Candidate pre-filtering bounds corpus (2000-4000 memories) to ~70-90 candidates via union of: top-50 by effectiveScore() + top-50 by embedding similarity (cosine of session context vs pre-computed embeddings); JSON serialization (~245KB for 80 candidates x 768-dim) is bottleneck, not computation; total latency target <100ms


id: 37821d7b-8fb5-4644-b9f9-955735382332
type: fact
source_type: session_end
tags: predictor,continuity-scorer,labels
created_at: 2026-02-25T17:14:01.234Z
updated_at: 2026-02-25T17:14:01.234Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: f125b64c-730c-4e7b-bda0-f0975cd60c15
extraction_status: none
content:
  Continuity scorer receives injected memory list (with IDs and previews) and transcript; returns per-memory relevance scores (0-1), overall_score, confidence (gating signal), missing_topics, novel_context_count, and reasoning text; sessions with confidence <0.6 or low label variance are excluded from EMA updates and training data


id: 963a2e03-0c8c-47ba-a2d6-97fe014487ca
type: fact
source_type: session_end
tags: predictor,negative-labels,design
created_at: 2026-02-25T17:14:01.234Z
updated_at: 2026-02-25T17:14:01.234Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: f125b64c-730c-4e7b-bda0-f0975cd60c15
extraction_status: none
content:
  Negative memory signals: superseded memories (superseded_by IS NOT NULL) label = -0.3, importance <0.1 after decay label = 0.0, deleted within 24h of injection label = -0.5; trained alongside positive labels to actively push model away from harmful predictions, analogous to X algorithm's not_interested/block_author negative actions


id: 5397582d-c63e-4b87-8d1c-79f9bdc098ea
type: fact
source_type: session_end
tags: predictor,features,design-inspiration
created_at: 2026-02-25T17:14:01.234Z
updated_at: 2026-02-25T17:14:01.234Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: f125b64c-730c-4e7b-bda0-f0975cd60c15
extraction_status: none
content:
  Project embedding table (32 x 64 dims) allows model to discover project-specific relevance patterns; at 50 sessions/day across multiple projects, model has sufficient data to specialize; inspired by X algorithm's product_surface embedding for encoding interaction context


id: 9c9cead3-636b-4f35-adee-8bd49701104a
type: fact
source_type: session_end
tags: predictor,research,inspiration
created_at: 2026-02-25T17:14:01.234Z
updated_at: 2026-02-25T17:14:01.234Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: f125b64c-730c-4e7b-bda0-f0975cd60c15
extraction_status: none
content:
  Architecture inspired by four research sources: ACAN (cross-attention with LLM-based loss), Memory-R1 (outcome-driven RL, only 152 pairs needed), microgpt (Rust transformer, autograd, zero deps), X/Twitter algorithm (Phoenix ranker, two-tower retrieval, candidate isolation, weighted multi-action scoring, author diversity decay, behavioral signals)


id: 31fd5f1a-5c65-4194-b396-23a0a8916fd4
type: decision
source_type: session_end
tags: predictor,phases,implementation-plan
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project: /home/nicholai/signet/signetai
session_id: f125b64c-730c-4e7b-bda0-f0975cd60c15
extraction_status: none
content:
  Phases organized as: Phase 0 (data pipeline: session_memories table, pre-filtering, FTS tracking, behavioral labels), Phase 1 (Rust scaffold + autograd), Phase 2 (training pipeline), Phase 3 (daemon integration), Phase 4 (observability), Phase 5 (config), Phase 6 (pre-training path support), Phase 7 (documentation); each phase independently testable before next


id: 86dfcf1b-d132-42cc-a2e7-116b8525dcea
type: fact
source_id: c9721bcf-18b6-4b94-8b41-220a440a27a3
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created_at: 2026-02-25T17:14:01.244Z
updated_at: 2026-02-25T17:14:01.244Z
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extraction_status: none
embedding_model: nomic-embed-text
content:
  ## Predictive Memory Scorer Evaluation Session Nicholai initiated a session to evaluate the predictive memory scorer design document (`docs/wip/predictive-memory-scorer.md`) against the X/Twitter algorithm reference code in `references/x-algorithm/`.

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-predictive-memory-scorer-evaluation-session,hierarchical-section

normalized_content:
  ## predictive memory scorer evaluation session nicholai initiated a session to evaluate the predictive memory scorer design document (`docs/wip/predictive-memory-scorer.md`) against the x/twitter algorithm reference code in `references/x-algorithm/`


id: eaf19f63-1443-468b-9092-82c31c9e7a6e
type: learning
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who: openclaw-memory
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extraction_status: none
embedding_model: nomic-embed-text
content:
  The session began with reading the 1,775-line predictive scorer design doc, which outlines a comprehensive architecture for training a per-user learned memory ranking model using: - Cross-attention architecture (inspired by ACAN, Memory-R1, and X's Phoenix ranker) - ListNet-style listwise ranking lo

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-predictive-memory-scorer-evaluation-session,hierarchical-section

normalized_content:
  the session began with reading the 1,775-line predictive scorer design doc, which outlines a comprehensive architecture for training a per-user learned memory ranking model using: - cross-attention architecture (inspired by acan, memory-r1, and x's phoenix ranker) - listnet-style listwise ranking lo


id: 56c1dae5-8754-40a3-a72b-c9822857f8ea
type: fact
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source_type: chunk
created_at: 2026-02-25T17:14:01.244Z
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updated_by: openclaw-memory
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who: openclaw-memory
why: explicit
last_accessed: 2026-02-25T23:02:28.631Z
content_hash: 10f452199288831deab2ed994a3b708a6f1379f47408028a19f686fc80f7012b
extraction_status: none
embedding_model: nomic-embed-text
content:
  ss with KL divergence - HashTrick tokenizer (16K buckets, 64-dim internal embedding space) - ~1.11M total parameters (sub-2M target) - Reciprocal Rank Fusion (RRF) for blending baseline and predictor scores - Cold start handling with gradual influence ramp (sessions 1-10: 0.2 cap, 11-20: 0.4 cap) -

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-predictive-memory-scorer-evaluation-session,hierarchical-section

normalized_content:
  ss with kl divergence - hashtrick tokenizer (16k buckets, 64-dim internal embedding space) - ~1.11m total parameters (sub-2m target) - reciprocal rank fusion (rrf) for blending baseline and predictor scores - cold start handling with gradual influence ramp (sessions 1-10: 0.2 cap, 11-20: 0.4 cap) -


id: 694fc475-f7ca-4f7a-b19f-8974fc927b6b
type: fact
source_id: c9721bcf-18b6-4b94-8b41-220a440a27a3
source_type: chunk
created_at: 2026-02-25T17:14:01.244Z
updated_at: 2026-02-25T17:14:01.244Z
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who: openclaw-memory
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extraction_status: none
embedding_model: nomic-embed-text
content:
  Topic diversity decay (0.5 decay factor for >0.85 cosine similarity overlaps) - Behavioral training signals from FTS hit overlap during sessions - Drift detection via success rate EMA and replay buffer for recovery - Comprehensive observability (diagnostics domain, latency tracking, error ring, time

tags:
[cell repeats an earlier one in this file: 106 characters]

normalized_content:
  topic diversity decay (0.5 decay factor for >0.85 cosine similarity overlaps) - behavioral training signals from fts hit overlap during sessions - drift detection via success rate ema and replay buffer for recovery - comprehensive observability (diagnostics domain, latency tracking, error ring, time


id: 3eb65356-3d1d-4c3b-b907-73fef64bb140
type: fact
source_id: c9721bcf-18b6-4b94-8b41-220a440a27a3
source_type: chunk
created_at: 2026-02-25T17:14:01.244Z
updated_at: 2026-02-25T17:14:01.244Z
updated_by: openclaw-memory
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who: openclaw-memory
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content_hash: b7a0a52b9dc75240923a153369621cb56568d4777fcde9975d4d32d7fbce3599
extraction_status: none
embedding_model: nomic-embed-text
content:
  line events) Two Explore agents were spawned to examine the X algorithm reference code in depth (architecture, scoring mechanisms, candidate pipeline, training signals, cold start patterns, feature engineering, and the Phoenix/Thunder/HomeMixer components).

tags:
[cell repeats an earlier one in this file: 106 characters]

normalized_content:
  line events) two explore agents were spawned to examine the x algorithm reference code in depth (architecture, scoring mechanisms, candidate pipeline, training signals, cold start patterns, feature engineering, and the phoenix/thunder/homemixer components)


id: ccd2ead8-674d-4a53-9c20-df406569ea8e
type: fact
source_type: session_end
tags: analytics,telemetry,architecture
created_at: 2026-02-25T20:56:12.570Z
updated_at: 2026-02-25T20:56:12.570Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 3598fe7a-19e3-42d7-8f64-b68a34106c31
last_accessed: 2026-02-26T06:18:35.804Z
extraction_status: none
content:
  signetai packages/daemon/src/analytics.ts implements an in-memory analytics accumulator for ephemeral counters per daemon lifetime, with durable backing provided by structured logs and memory_history table


id: 16a6b2d6-6339-4e39-a6f0-1d2bda16e820
type: fact
source_type: session_end
tags: error-handling,telemetry
created_at: 2026-02-25T20:56:12.570Z
updated_at: 2026-02-25T20:56:12.570Z
updated_by: legacy
vector_clock: {}
who: claude-code
project: /home/nicholai/signet/signetai
session_id: 3598fe7a-19e3-42d7-8f64-b68a34106c31
extraction_status: none
content:
  signetai error tracking uses a stage-keyed taxonomy with six error stages: extraction, decision, embedding, mutation, connector—each with specific error codes


id: 29602c6a-b1c8-4dd7-aa3c-f0aeab935263
type: fact
source_id: 42c074a7-c0ab-47ca-b62f-29fddc987b0d
source_type: chunk
created_at: 2026-02-25T20:56:12.576Z
updated_at: 2026-02-25T20:56:12.576Z
updated_by: openclaw-memory
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who: openclaw-memory
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extraction_status: none
embedding_model: nomic-embed-text
content:
  ## Analytics & Telemetry Collection in signetai Nicholai asked how anonymous statistics about token usage, errors, and performance are collected in the signetai daemon. An exploration agent was dispatched to investigate the analytics system.

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-analytics-telemetry-collection-in-signetai,hierarchical-section

normalized_content:
  ## analytics & telemetry collection in signetai nicholai asked how anonymous statistics about token usage, errors, and performance are collected in the signetai daemon. an exploration agent was dispatched to investigate the analytics system


id: 4edb0925-94fd-4696-b83f-19266ff0dd33
type: fact
source_id: 42c074a7-c0ab-47ca-b62f-29fddc987b0d
source_type: chunk
created_at: 2026-02-25T20:56:12.576Z
updated_at: 2026-02-25T20:56:12.576Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-26T06:52:12.487Z
content_hash: bd030d5ea2a05f79e0be6829f36fc19da7f90b4a8f8dd7ea57d5e761798ea97f
extraction_status: none
embedding_model: nomic-embed-text
content:
  Initial findings from `packages/daemon/src/analytics.ts` revealed that signetai uses an **in-memory analytics accumulator** for ephemeral counters during each daemon lifetime.

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-analytics-telemetry-collection-in-signetai,hierarchical-section

normalized_content:
  initial findings from `packages/daemon/src/analytics.ts` revealed that signetai uses an **in-memory analytics accumulator** for ephemeral counters during each daemon lifetime


id: c8b7566e-e02a-4b07-96de-891be8f27a9d
type: fact
source_id: 42c074a7-c0ab-47ca-b62f-29fddc987b0d
source_type: chunk
created_at: 2026-02-25T20:56:12.576Z
updated_at: 2026-02-25T20:56:12.576Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-26T06:52:12.487Z
content_hash: 2052d33acee256e2b55a41939bfcf5b1af02a9ecf006cc211e273c538bfe7f5f
extraction_status: none
embedding_model: nomic-embed-text
content:
  The system does not persist analytics directly—instead, it relies on structured logs and the `memory_history` database table for durable backing of any metrics that need to survive restarts.

tags:
  openclaw,memory-log,2026-02-25,2026-02-25-analytics-telemetry-collection-in-signetai,hierarchical-section

normalized_content:
  the system does not persist analytics directly—instead, it relies on structured logs and the `memory_history` database table for durable backing of any metrics that need to survive restarts


id: 89532a91-92f7-4598-8f32-ff12ebf7836b
type: fact
source_id: 42c074a7-c0ab-47ca-b62f-29fddc987b0d
source_type: chunk
created_at: 2026-02-25T20:56:12.576Z
updated_at: 2026-02-25T20:56:12.576Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-26T06:52:12.487Z
content_hash: c996da7fdbd9d9a99d46ae8fa9b9329b5be1a02a80de6375e7b22edb8ac2a512
extraction_status: none
embedding_model: nomic-embed-text
content:
  Error tracking is organized by a **stage-keyed taxonomy** with six stages: extraction, decision, embedding, mutation, and connector. Each stage has specific error codes (e.g., EXTRACTION_TIMEOUT, DECISION_INVALID, EMBEDDING_PROVIDER_DOWN).

tags:
[cell repeats an earlier one in this file: 105 characters]

normalized_content:
  error tracking is organized by a **stage-keyed taxonomy** with six stages: extraction, decision, embedding, mutation, and connector. each stage has specific error codes (e.g., extraction_timeout, decision_invalid, embedding_provider_down)


id: 36bf87d9-3fc1-4591-84a7-745911c88409
type: fact
source_id: 42c074a7-c0ab-47ca-b62f-29fddc987b0d
source_type: chunk
created_at: 2026-02-25T20:56:12.576Z
updated_at: 2026-02-25T20:56:12.576Z
updated_by: openclaw-memory
vector_clock: {}
who: openclaw-memory
why: explicit
last_accessed: 2026-02-26T06:52:12.487Z
content_hash: 26de0c5e8ce3cc1f3e500db159c30057eaea3a1993f825a9e52500ad1d17f849
extraction_status: none
embedding_model: nomic-embed-text
content:
  Usage metrics include `EndpointStats` (count, errors, latency) and `ActorStats` (requests, remembers, recalls). Investigation was ongoing at session end.

tags:
[cell repeats an earlier one in this file: 105 characters]

normalized_content:
  usage metrics include `endpointstats` (count, errors, latency) and `actorstats` (requests, remembers, recalls). investigation was ongoing at session end


id: 7c33e21d-9b41-45ba-bbfd-e3c0750b2d68
type: fact
source_type: manual
tags: voice,tts,transcription
created_at: 2026-02-26T01:36:50.861Z
updated_at: 2026-02-26T01:36:50.861Z
updated_by: clawdbot
vector_clock: {}
who: clawdbot
why: explicit
last_accessed: 2026-02-26T06:52:12.487Z
content_hash: ef844069d7798e55357738b2327262f4d9ff3e276b53afb7e6a0000c8aa48346
extraction_status: none
embedding_model: nomic-embed-text
content:
  transcribe voice messages with hyprwhspr, respond with qwen3tts when VRAM available or signet-voice skill otherwise

normalized_content:
  transcribe voice messages with hyprwhspr, respond with qwen3tts when vram available or signet-voice skill otherwise


