- Change bot/memory/*.json to bot/memory/** to properly ignore all
subdirectories (dms/, dm_reports/, profile_pictures/)
- Untrack bot/memory/ files from index (DMs, profile pics, dm reports)
- Untrack cheshire-cat discord_bridge __pycache__/*.pyc from index
- These files are runtime/user data that should never be in version control
Key changes:
- CatAdapter (bot/utils/cat_client.py): WebSocket /ws/{user_id} for chat
queries instead of HTTP POST (fixes per-user memory isolation when no
API keys are configured — HTTP defaults all users to user_id='user')
- Memory management API: 8 endpoints for status, stats, facts, episodic
memories, consolidation trigger, multi-step delete with confirmation
- Web UI: Memory tab (tab9) with collection stats, fact/episodic browser,
manual consolidation trigger, and 3-step delete flow requiring exact
confirmation string
- Bot integration: Cat-first response path with query_llama fallback for
both text and embed responses, server mood detection
- Discord bridge plugin: fixed .pop() to .get() (UserMessage is a Pydantic
BaseModelDict, not a raw dict), metadata extraction via extra attributes
- Unified docker-compose: Cat + Qdrant services merged into main compose,
bot depends_on Cat healthcheck
- All plugins (discord_bridge, memory_consolidation, miku_personality)
consolidated into cat-plugins/ for volume mount
- query_llama deprecated but functional for compatibility
Implements unified cross-server memory system for Miku bot:
**Core Changes:**
- discord_bridge plugin with 3 hooks for metadata enrichment
- Unified user identity: discord_user_{id} across servers and DMs
- Minimal filtering: skip only trivial messages (lol, k, 1-2 chars)
- Marks all memories as consolidated=False for Phase 2 processing
**Testing:**
- test_phase1.py validates cross-server memory recall
- PHASE1_TEST_RESULTS.md documents successful validation
- Cross-server test: User says 'blue' in Server A, Miku remembers in Server B ✅
**Documentation:**
- IMPLEMENTATION_PLAN.md - Complete architecture and roadmap
- Phase 2 (sleep consolidation) ready for implementation
This lays the foundation for human-like memory consolidation.
