Coordination Memory MCP
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- AlicenseAqualityCmaintenanceLocal-first shared memory and coordination layer for AI coding agents, with repository evidence, reservations, handoffs, code graph context, and dashboard review backed by PostgreSQL/pgvector.303Apache 2.0
- AlicenseNot gradedqualityBmaintenanceEnables AI agents and tools to share durable, approved knowledge, current decisions, task ownership, and handoffs from a local-first workspace kept outside any single AI product. Markdown holds human-readable rules, goals, and narratives while SQLite tracks agents, sessions, tasks, leases, and audit events behind one transport-independent core.1MIT
- AlicenseBqualityAmaintenanceA coordination layer for coding agents that provides memorable identities, inbox/outbox messaging, searchable message history, and file lease management to prevent conflicts. Uses Git for human-auditable artifacts and SQLite for fast queries, enabling multiple agents to collaborate across projects without stepping on each other.412,192MIT
- FlicenseNot gradedqualityNot gradedmaintenanceA production-grade coordination hub that enables AI agents and human teams to work as a single organism by sharing tasks, context, decisions, and persistent memory across projects. It features two-tier agentic memory with per-agent hot caches, inter-agent messaging, and multi-agent authorship tracking for seamless collaboration.2-
- FlicenseNot gradedqualityAmaintenanceA local-first MCP server and CLI that gives coding agents structured project memory, task contracts, context packs, backlog workflows, and verification evidence, storing data in reviewable Markdown/YAML with a fast SQLite index.4-
- AlicenseNot gradedqualityAmaintenanceLocal OS for your AI Agents fleets. ——————- Enables AI agents to coordinate through a durable local board with shared state, ticket lifecycle, evidence-based approvals, and journal-woken handoffs.1Apache 2.0
TDQS
Scored across 43 tools
Most tools are grouped clearly by resource type (workspace, run, assignment, event, contract) and many explicitly state role restrictions, so an agent can usually pick the right one. The only real ambiguity is around event-related operations like append_event vs. submit_handoff and review_event vs. accept_event/reject_event.
All tool names consistently use lowercase snake_case with a predictable verb_noun or verb_qualifier_noun pattern. Get-vs-list is used consistently, and lifecycle actions like create, claim, cancel, seal, reopen, and waive are all recognizable and parallel.
At 43 tools, the set is well above the 25+ threshold that makes a surface feel heavy, and an agent must navigate many narrowly scoped, role-gated operations. The domain is complex, but this count still strains selection, recall, and effective tool routing.
The set covers workspace/team/actor registration, assignment and run lifecycles, event review, human intervention, contracts, invariants, deviations, and verification with few obvious dead ends. Minor gaps remain, such as the lack of a dedicated run-completion tool, no list_events operation, and seal_contract referencing an external deny/second-instance step without a dedicated tool.