Mai Development
0ac5a8e6d7
feat(04-05): complete personality learning integration
...
- Implement PersonalityAdaptation class with time-weighted learning and stability controls
- Integrate PersonalityLearner with MemoryManager and export system
- Create memory-integrated personality system in src/personality.py
- Add core personality protection while enabling adaptive learning
- Close personality learning integration gap from verification report
2026-01-28 13:48:30 -05:00
Mai Development
26543d0402
docs(04-06): complete VectorStore gap closure plan
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Tasks completed: 2/2
- Implemented search_by_keyword method with FTS/LIKE hybrid search
- Implemented store_embeddings method with transactional batch operations
- Fixed VectorStore schema for sqlite-vec extension compatibility
- Resolved all missing method calls from SemanticSearch.hybrid_search
SUMMARY: .planning/phases/04-memory-context-management/04-06-SUMMARY.md
Updated STATE.md to reflect Phase 4 completion
2026-01-28 13:33:13 -05:00
Mai Development
8969d382a9
docs(04-07): complete metadata integration plan
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Tasks completed: 2/2
- Implemented get_conversation_metadata method in SQLiteManager
- Integrated metadata access in ContextAwareSearch
SUMMARY: .planning/phases/04-memory-context-management/04-07-SUMMARY.md
2026-01-28 13:17:29 -05:00
Mai Development
47e4864049
docs(04): create gap closure plans for memory and context management
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Phase 04: Memory & Context Management
- 3 gap closure plans to address verification issues
- 04-05: Personality learning integration (PersonalityAdaptation, MemoryManager integration, src/personality.py)
- 04-06: Vector Store missing methods (search_by_keyword, store_embeddings)
- 04-07: Context-aware search metadata integration (get_conversation_metadata)
- All gaps from verification report addressed
- Updated roadmap to reflect 7 total plans
2026-01-28 12:08:47 -05:00
Mai Development
a8b7a35baa
docs(04-03): complete progressive compression and JSON archival plan
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Tasks completed: 2/2
- Progressive compression engine with 4-tier age-based levels
- JSON archival system with gzip compression and organized structure
- Smart retention policies with importance-based scoring
- MemoryManager integration with unified archival interface
SUMMARY: .planning/phases/04-memory-context-management/04-03-SUMMARY.md
2026-01-28 00:00:12 -05:00
Mai Development
bb7205223d
docs(04-02): complete memory retrieval system plan
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Tasks completed: 2/2
- Semantic search with sentence-transformers embeddings
- Context-aware search with topic-based prioritization
- Timeline search with date filtering and temporal proximity
- Enhanced MemoryManager with unified search interface
SUMMARY: .planning/phases/04-memory-context-management/04-02-SUMMARY.md
Updated STATE.md progress to 2/4 in Phase 4
2026-01-27 23:28:42 -05:00
Mai Development
9cdb1e7f6c
docs(04): create phase plan
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Phase 04: Memory & Context Management
- 4 plan(s) in 3 wave(s)
- 2 parallel, 2 sequential
- Ready for execution
2026-01-27 21:53:07 -05:00
Mai Development
c09ea8c8f2
docs(04): research phase 4 memory & context management domain
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Phase 04: Memory & Context Management
- Standard stack identified: SQLite + sqlite-vec + sentence-transformers
- Architecture patterns documented: hybrid storage, progressive compression, vector search
- Pitfalls cataloged: embedding drift, memory bloat, personality overfitting
- Code examples provided from official sources
2026-01-27 20:12:40 -05:00
Mai Development
3e88d33bd3
docs(04): capture phase context
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Phase 04: memory-context-management
- Implementation decisions documented
- Hybrid storage strategy with SQLite + JSON archives
- Progressive compression and smart retention policies
- Multi-dimensional pattern learning approach
- Phase boundary established
2026-01-27 19:59:52 -05:00
