NevaMind-AI/memU

项目介绍

Across Agents. Fast retrieval. Lower cost.

memU is a 500-line memory system for AI agents. Agents write what's worth keeping as Markdown; memU stores it, embeds it, and retrieves ranked context in a single call — embeddings are the only model calls it makes. The entire memory logic lives in agentic.py + service.py; everything else is pluggable storage and embedding transport.

Installation is agent-driven. The guides are written for the agent, not for you. One message is the whole setup — tell your agent:

It works for Codex, Claude Code, Cursor, OpenClaw, Hermes — and any other agent, via detection. Details in Host adapters.

Or straight from the terminal — no code:

State persists in a…

摘自 github.com/NevaMind-AI/memU