forked from SpeedyFoxAi/jarvis-memory
1.0 KiB
1.0 KiB
Qdrant Memory Skill
Vector database storage for long-term semantic memory.
What It Does
Stores conversations with embeddings for semantic search.
Commands
# Initialize collections
python3 scripts/init_kimi_memories.py
python3 scripts/init_kimi_kb.py
# Store immediately
python3 scripts/auto_store.py
# Search memories
python3 scripts/search_memories.py "your query"
# Harvest old sessions
python3 scripts/harvest_sessions.py --limit 10
Heartbeat Integration
Add to HEARTBEAT.md:
python3 /path/to/skills/qdrant-memory/scripts/daily_conversation_backup.py
Cron
# Daily backup at 3:30 AM
30 3 * * * scripts/sliding_backup.sh
Collections
kimi_memories- Conversationskimi_kb- Knowledge baseprivate_court_docs- Legal docs
Files
auto_store.py- Store with embeddingssearch_memories.py- Semantic searchinit_*.py- Collection initializationharvest_*.py- Session harvestingdaily_conversation_backup.py- Daily cronsliding_backup.sh- File backup