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    • A
      license
      A
      quality
      A
      maintenance
      Enables AI coding tools to share one Markdown ship's log per project, so each session can read the current state, recent work and next steps across Claude Code, Codex, Gemini CLI and Copilot CLI, plus a dashboard showing every project at once. It also flags sessions that did work but logged nothing, and can be exposed remotely to ChatGPT via a self-hosted beacon.
      5
      261 PyPI
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables developers to maintain a local engineering journal, log work manually or from git history, and let AI assistants query, summarize, and draft standup updates, changelogs, and retro notes.
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      The infrastructure for AI teams: a self-hosted server that gives a fleet of agents shared semantic memory, tasks, direct messages, and session handoff. Any agent that speaks HTTP participates: Claude Code, AutoGen, raw API scripts, anything.
      47
      9
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Universal session & handoff layer for AI coding agents: shared task, decision, blocker and test state, checkpoints, and deterministic handoff between Claude Code, Codex, OpenCode, Cursor, Cline, pi and omp. Local SQLite, git-aware, 25 tools + 7 resources over stdio or streamable-http.
      26
      MIT
    • A
      license
      B
      quality
      A
      maintenance
      Self-hosted shared brain for AI agents: Git-versioned Markdown knowledge plus a task queue with atomic claims, per-space ACL, audit log and human approval, so Claude, ChatGPT and other agents can hand work to each other.
      27
      AGPL 3.0

    TDQS

    A3.6/5.0

    Scored across 37 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes, and descriptions explicitly distinguish close pairs such as start_task vs read_task, project_brief vs project_context, and log_update vs log_history. A few boundaries remain somewhat blurred, especially around file handling (add_attachment, upload_link, update_file) and document/context saving, but an agent can generally tell them apart.

    Naming Consistency4/5

    Tool names consistently use snake_case and mostly follow a verb_noun or resource_action pattern (add_task, update_project, read_document, delete_comment). There are some noun-only names such as search, notifications, whoami, my_day, and team_activity, but they are readable and not chaotic.

    Tool Count2/5

    The set is large at 37 tools, which is heavy for an agent to navigate even given the broad project-management domain. Many operations are legitimately distinct, but the surface would benefit from consolidation or clearer grouping to reduce selection overhead.

    Completeness4/5

    The surface covers tasks, projects, updates, documents, files, time tracking, notifications, search, and feedback with substantial lifecycle support. Minor gaps exist, such as no explicit task deletion operation and only indirect comment handling for tasks, but the core workflows are well covered.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues