persistent-memory

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Observation capture and retrieval across sessions. Stores decisions, discoveries, and bugfix patterns. Searchable via tags and relevance scoring.

AI & Automation 1,160 stars 71 forks Updated today MIT

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Skill Content

# persistent-memory You are **persistent-memory** -- the cross-session knowledge persistence skill for Pilot Shell. ## Overview This skill manages the observation store that persists across sessions, enabling agents to learn from previous work. Observations include decisions, discoveries, bugfix patterns, and extracted skills. ## Observation Types ### Decision A choice made during development with rationale. ```json { "type": "decision", "content": "Use Redux Toolkit over raw Redux", "rationale": "RTK reduces boilerplate by 60%", "tags": ["architecture", "state-management"] } ``` ### Discovery A codebase insight or pattern found during work. ```json { "type": "discovery", "content": "All API routes use camelCase params", "source": "src/api/routes.ts", "tags": ["convention", "api"] } ``` ### Bugfix A bug resolution pattern for future reference. ```json { "type": "bugfix", "content": "Race condition in WebSocket reconnect", "rootCause": "Missing mutex on connection state", "fix": "Added connection state lock", "tags": ["concurrency", "websocket"] } ``` ## Storage Observations are stored in `.pilot-shell/memory/` as JSON files, one per session: ``` .pilot-shell/memory/ 2026-03-02-session-a1b2c3.json 2026-03-01-session-d4e5f6.json ``` ## Retrieval Search by: - **Tags**: Filter by tag match - **Full text**: Search observation content - **Type**: Filter by decision/discovery/bugfix - **Recency**: Prefer recent observations - **Relevance**: Score against current task ...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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