MemoFS

What it does

Most memory tools for AI agents rely on remote vector databases or opaque cloud dashboards. They act as black boxes you can't inspect, debug, or version alongside your code. MemoFS takes a fundamentally different, file-first approach: all agent memory is stored as plain, structured Markdown and JSON directly in your project’s repository undermemofs/. Your agent's memory becomes inspectable, 100% offline-first, and Git-versioned natively with your codebase.

MemoFS Cloud keeps your AI agents' file-first .memofs/ memory in sync across machines and teams with a live dashboard, hosted MCP API, and 1-click rollback.

MemoFS Cloud keeps your agents' file-first .memofs/ memory in sync everywhere you work, gives you a dashboard to see what they remember, and an API to query it from anywhere. Your files stay yours; the engine stays open source. Whether you're using daily AI agents (Claude Code, Cursor, Codex, research tools) or building custom AI agents, keeping memory in sync and accessible is hard. The MemoFS engine runs locally and owns your files; the cloud keeps every machine, teammate, and agent on the same memory runtime — synced byte-for-byte, never locked in. Your workstation, cloud services, and your teammate's agent each remember conflicting context. 247 files here, a stale month-old snapshot…from memofs.dev

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