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Agentic AI Atlas · GAP-STATE-001: Long-Term Memory Extraction
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docs/harness-features-backlog/gaps/state-continuity/GAP-STATE-001.md
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GAP-STATE-001: Long-Term Memory Extraction
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GAP-STATE-001: Long-Term Memory Extraction
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docs/harness-features-backlog/gaps/state-continuity/gap-state-001
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# GAP-STATE-001: Long-Term Memory Extraction | Field | Value | |-------|-------| | Category | state-continuity | | Priority | High | | Effort | L | | Status | Missing | ## Description Extract and persist key learnings, decisions, and patterns from completed runs into a long-term memory store that informs future orchestration sessions. ## Current State No memory extraction. State is per-run journal only. harness:retrospect analyzes but does not persist extracted memories. ## Target State Memory extraction from completed runs into ~/.a5c/memory/. Memories indexed by project, topic, and recency. Extracted memories injected into new run prompts as context. ## Dependencies - [GAP-SESSION-002](../session-management/GAP-SESSION-002.md) -- session state persistence for memory scope ## Key Files | Component | Path | |-----------|------| | Journal storage | `packages/sdk/src/storage/` | | Session management | `packages/sdk/src/session/` | | Prompts module | `packages/sdk/src/prompts/` | ## Recommendation Phase 2 implementation. Extend harness:retrospect to extract and persist key learnings. Index by project and topic. Inject into new run prompts.
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