π¦ ClawHub
Deep Memory
by @halfmoon82
One-click clone of a production-grade semantic memory system: HOT/WARM/COLD tiered storage + Qdrant vector DB + Neo4j graph DB + qwen3-embedding. Enables cro...
π‘ Examples
Setup (first time)
python3 ~/.openclaw/workspace/skills/deep-memory/scripts/setup.py
Write a memory
from deep_memory import MemorySystem
mem = MemorySystem()
mem.store("user_sir", "Sir prefers direct communication, no pleasantries", tags=["preference", "communication"])
Search memories
results = mem.search("how does Sir like to communicate?", top_k=5)
for r in results:
print(r['content'], r['score'])
Joint query (vector + graph)
results = mem.joint_query("investment strategy", entity="Sir", top_k=3)
βοΈ Configuration
brew install ollama on macOS)TERMINAL
clawhub install deep-memory