multi-agent-memory

<p align="center"> <h1 align="center">Multi-Agent Memory</h1> <p align="center"> Cross-machine, cross-agent persistent memory for AI systems </p> <p align="center"> <a href="#quick-start">Quick Start</a> &bull; <a href="#features">Features</a> &bull; <a href="#api-reference">API</a> &bull; <a href="#adapters">Adapters</a> &bull; <a href="#configuration">Config</a> &bull; <a href="#roadmap">Roadmap</a> </p> <p align="center"> <a href="https://www.npmjs.com/package/@zensystemai/multi-agent-memory-mcp"></a> </p> <p align="center"> </p> </p>

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Multi-Agent Memory gives your AI agents a shared brain that works across machines, tools, and frameworks. Store a fact from Claude Code on your laptop, recall it from an OpenClaw agent on your server, and get a briefing from n8n — all through the same memory system.

Born from a production setup where OpenClaw agents, Claude Code, and n8n workflows needed to share memory across separate machines. Nothing existed that did this well, so we built it.

You run multiple AI agents — Claude Code for development, OpenClaw for autonomous tasks, n8n for automation. They each maintain their own context and forget everything between sessions. When one agent discovers something important, the others never learn about it.

Existing solutions are either si