akitaonrails/ai-memory
Shared long-term memory that follows you across AI coding agents and machines.
ai-memory is a self-hosted server that gives 20+ coding-agent harnesses — Claude Code, Codex, Cursor, Gemini CLI, Devin and more — one shared memory, so quitting Claude Code mid-task and opening Codex in the same directory picks up a real handoff: what failed, what's still open. The source of truth is a git-backed wiki of plain markdown files, not a vector store, and its database is just a derived index that can always be rebuilt from those files. Lifecycle hooks capture what happened silently, and the default path makes zero LLM calls, so it works with no API key at all.
What holds up
- +Works across 20+ agent harnesses — Claude Code, Codex, Cursor, Devin — not one vendor.
- +Storage is plain markdown in a git-backed wiki — grep it or rebuild the database anytime.
- +Default capture, search and handoff path makes zero LLM calls, no API key needed.
Mind the limits
- −You have to run and maintain the memory server yourself — it's self-hosted.
- −Team features mean setting up shared infrastructure, not installing a local plugin.
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