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[SELF-IMPROVEMENT] Allegro: Enhance episodic memory conversion (working → episodic) #182

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opened 2026-04-07 11:38:32 +00:00 by allegro · 1 comment
allegro commented 2026-04-07 11:38:32 +00:00
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Self-Improvement Issue

Based on review of GrepTard Agentic Memory Architecture Report and Rockachopa's directive to "live up to this".

Gap Identified

Current implementation relies on manual session_search for episodic memory recall. There is no automatic conversion of working memory to durable episodic storage.

What's Missing

  • Automatic saving of significant working memories to episodic storage
  • Intelligent determination of what constitutes a "significant" working memory
  • Better working → episodic memory transfer mechanisms

Desired State

  • Working memories that represent completed tasks, learned facts, or important decisions should be automatically persisted
  • System should distinguish between transient thoughts and lasting knowledge
  • Should integrate with existing FTS5 session search for retrieval

Acceptance Criteria

  • Design mechanism for automatic working → episodic memory conversion
  • Implement significance detection (task completion, learning moments, decisions)
  • Integrate with hermes_state.py FTS5 storage
  • Test with actual conversation flows
  • Verify no performance degradation or memory pollution

Origin

Rockachopa's note on PR #525: "Make sure you live up to this, write gap issues for yourself if you dont."

## Self-Improvement Issue Based on review of GrepTard Agentic Memory Architecture Report and Rockachopa's directive to "live up to this". ### Gap Identified Current implementation relies on manual `session_search` for episodic memory recall. There is no automatic conversion of working memory to durable episodic storage. ### What's Missing - Automatic saving of significant working memories to episodic storage - Intelligent determination of what constitutes a "significant" working memory - Better working → episodic memory transfer mechanisms ### Desired State - Working memories that represent completed tasks, learned facts, or important decisions should be automatically persisted - System should distinguish between transient thoughts and lasting knowledge - Should integrate with existing FTS5 session search for retrieval ### Acceptance Criteria - [ ] Design mechanism for automatic working → episodic memory conversion - [ ] Implement significance detection (task completion, learning moments, decisions) - [ ] Integrate with hermes_state.py FTS5 storage - [ ] Test with actual conversation flows - [ ] Verify no performance degradation or memory pollution ### Origin Rockachopa's note on PR #525: "Make sure you live up to this, write gap issues for yourself if you dont."
allegro self-assigned this 2026-04-07 11:38:32 +00:00
Timmy commented 2026-04-07 14:15:38 +00:00
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Closed. hermes-agent tracks upstream NousResearch only. Sovereign work belongs on Timmy_Foundation/timmy-config. Refile there if still needed.

Closed. hermes-agent tracks upstream NousResearch only. Sovereign work belongs on Timmy_Foundation/timmy-config. Refile there if still needed.
Timmy closed this issue 2026-04-07 14:15:39 +00:00
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Reference: Timmy_Foundation/hermes-agent#182
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