54 lines
1.0 KiB
Markdown
54 lines
1.0 KiB
Markdown
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# Qdrant Memory Skill
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Vector database storage for long-term semantic memory.
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## What It Does
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Stores conversations with embeddings for semantic search.
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## Commands
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```bash
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# Initialize collections
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python3 scripts/init_kimi_memories.py
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python3 scripts/init_kimi_kb.py
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# Store immediately
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python3 scripts/auto_store.py
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# Search memories
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python3 scripts/search_memories.py "your query"
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# Harvest old sessions
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python3 scripts/harvest_sessions.py --limit 10
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```
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## Heartbeat Integration
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Add to HEARTBEAT.md:
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```bash
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python3 /path/to/skills/qdrant-memory/scripts/daily_conversation_backup.py
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```
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## Cron
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```bash
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# Daily backup at 3:30 AM
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30 3 * * * scripts/sliding_backup.sh
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```
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## Collections
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- `kimi_memories` - Conversations
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- `kimi_kb` - Knowledge base
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- `private_court_docs` - Legal docs
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## Files
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- `auto_store.py` - Store with embeddings
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- `search_memories.py` - Semantic search
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- `init_*.py` - Collection initialization
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- `harvest_*.py` - Session harvesting
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- `daily_conversation_backup.py` - Daily cron
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- `sliding_backup.sh` - File backup
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