GitHub for AI Agent Memory

AMFS provides a version‑controlled repository for the knowledge that AI agents acquire during execution. Each agent has its own “brain” that can be branched, diffed, reviewed, and merged, allowing the memory to persist across sessions and be shared among multiple agents or team members. The system presents a dashboard that agents can query directly, so they can retrieve prior findings instead of starting each run with a blank context.

The tool is aimed at developers who build and operate autonomous agents, whether working solo or in a team. It addresses the common problem of agents repeatedly solving the same problem because they lack access to earlier results, which wastes compute and token resources. By keeping a unified memory layer, AMFS lets agents build on each other’s work and reduces duplication of effort.

AMFS integrates with existing agent frameworks through three connection options, allowing it to serve as a single memory source for any stack. It is positioned as an experimental, free‑to‑start service that can be scaled as the agents’ usage grows.