memU
View on GitHubPersonal memory across agents
memU captures knowledge from agent sessions, stores it as searchable memory, and retrieves relevant context across agents and devices. It provides host adapters for coding agents, local SQLite or PostgreSQL storage, and automatic skill extraction.
Use Cases
Capture reusable knowledge from agent sessionsRetrieve relevant personal memory across agents and sessionsShare memory between desktop coding agentsExtract reusable skills from conversation history
Built With
- Language
- Python
- Frameworks
- OpenAI SDK · SQLModel · Alembic · pgvector
Tags
agent-memory · cross-agent-memory · session-retrieval · embeddings · vector-search · skill-extraction · coding-agents · MCP · SQLite · PostgreSQL