A2CR
A2CR is an open-source local MCP workspace for AI agent handoffs. It lets Codex, Claude Code, Cursor, and other MCP-capable agents save WorkBaton checkpoints, store temporary WorkStash notes, coordinate through WorkThreads, and resume long coding work from a fresh AI window.
Long AI work usually breaks at the handoff. A fresh AI window needs the goal, current state, decisions, blockers, validation, and next action, but not a whole noisy transcript. A2CR keeps that handoff state compact, explicit, and safer to share between sessions.
Use A2CR when you want to:
- restart a long AI coding task from a clean context window
- pass work state between Codex, Claude Code, Cursor, or another MCP client
- keep milestone checkpoints without storing full chat transcripts
- separate compact resume state from optional supporting notes
Japanese overview | MCP setup | Usage guide | WorkBaton spec | Local mode spec | 0.1.8 release notes
Directory Status
A2CR is published in the
official MCP Registry
as io.github.a2cr/a2cr-mcp. The local-only 0.1.8 public release is live on
PyPI, GitHub Releases, and the official MCP Registry. See the
distribution inventory for the
current registration and mirror status.
