Local MCP server for append-only multi-agent coordination memory with an integrator-owned accepted projection and goal-level acceptance contracts.
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# Coordination Memory MCP [](https://github.com/yanqiw/comem/actions/workflows/ci.yml) [](https://pypi.org/project/coordination-memory-mcp/) [](https://www.python.org/) [](LICENSE) <!-- mcp-name: io.github.yanqiw/comem --> Append-only **coordination memory** for multi-agent (and agent + human) work, exposed as a local [Model Context Protocol](https://modelcontextprotocol.io) (MCP) server backed by SQLite — plus a local web management dashboard and goal-level **acceptance contracts**. It records *who owns which task*, run liveness, human interventions, handoff evidence, and integrator review decisions. Only an **integrator** can promote work into the accepted ledger, which you can export as a durable, auditable projection (for example, committed into Git). Design stance: the MCP is the **live coordination layer**; durable accepted truth lives in whatever you project to. It is local-first (SQLite + stdio), and it never deploys, never reads secrets, and never executes shell commands. ## Why When several agents (or agents and people) push on the same body of work, two things go wrong: they overwrite each other, and "I'm done" gets confused with "this was accepted." Coordination Memory gives you: - **Assignment claims with leases** so two actors don't clobber the same task. - A hard distinction between an agent reporting `completed_gate_passed` and an integrator deciding `integrator_accepted`. Proposals are not truth. - An **integrator-owned accepted projection** you review before archiving. - **Acceptance contracts** that make "self-certified done" structurally impossible for goal-level outcomes (see below). - A human-facing **Attention** view and latest **Resume Brief** so people can re-ent…
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