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Maintain append-only shared memory and review-based acceptance for collaborative work.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Coordination Memory MCP" yet — see the docs or source repo.
Write the following task progress into Coordination Memory MCP as append-only chronological entries, including actor, task, status, and next step: Agent A finished requirement breakdown, Agent B is implementing the API, and integrator review is pending.
A set of append-only collaboration records in order, so humans and agents can share the latest status.
Register a work item in Coordination Memory MCP for acceptance: the feature 'login API refactor' is complete, include a short result summary, and mark it as requiring integrator review before acceptance.
A work record with acceptance constraints, clearly showing that integrator review is still required.
Based on records in Coordination Memory MCP, prepare the task lists that the local dashboard should show: in progress, pending acceptance, and accepted, sorted by most recent update.
A dashboard-friendly summary view of tasks that helps users quickly understand collaboration status.
Developers or product managers can use it to append shared records while multiple AI agents work in parallel. This preserves decisions, status, and handoff details to reduce context loss.
When final sign-off must come from an integrator, it can enforce review-before-acceptance through acceptance contracts. This fits workflows that need clear responsibility boundaries and acceptance steps.
Teams running a local collaboration setup can use its local dashboard to inspect records and task states. This makes it easier to see what is done, pending review, or accepted.
It is an append-only coordination memory tool for multi-agent and human collaboration. The description says it is backed by SQLite, includes a local dashboard, and uses acceptance contracts so work is only accepted after integrator review.
The only prerequisite explicitly mentioned is SQLite. The provided material does not specify installation steps, runtime requirements, or API keys, so see the source repository.
The description highlights three things: append-only memory, a local dashboard, and integrator review enforced by acceptance contracts. In other words, it does more than store collaboration notes by adding review constraints before formal acceptance.
Coordinate multiple agents to claim work, inspect peers, and resolve conflicts.
Coordinate multiple coding agents safely within the same repository.
Add governed cross-agent memory with retrieval and sync for coding agents.
Manage shared agent memory with access control, conflict resolution, and auditing.
Give AI coding agents persistent local shared memory across agents.
Give AI coding assistants persistent, conflict-aware memory across projects and sessions.