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Related Servers

Alternatives to CommitLore

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Provides AI coding agents with git-native persistent memory and a dependency-aware task graph, letting them record and fuzzy-recall architectural decisions, lessons, and gotchas while creating, claiming, and completing tasks that auto-unblock downstream work. Stores everything as plain JSON and Markdown committed inside the repository, so context stays branch-aware, team-shared, and reviewable in pull requests.
      11 npm
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Local-first memory layer for AI coding agents — captures issues, attempts, fixes, and decisions, and warns at git commit before you repeat a mistake.
      17
      173 PyPI
      850
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Local-first project memory for AI coding agents. Records failed attempts, fragile files, and decisions per repo, and warns the agent via hooks before it repeats a recorded mistake.
      6
      47 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Gives AI coding agents persistent, branch-aware memory and a dependency-tracked task graph by storing decisions, lessons, and tasks as plain JSON and Markdown committed directly into the repository. Agents can record and fuzzy-search past decisions, dump instant project context, and create, claim, complete, and query tasks whose completion automatically unblocks downstream work.
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI coding agents to persist project memory across sessions by compiling decisions, progress, and pitfalls into git-linked, evidence-backed entries. It lets clients add, query, inject, scan for stale, check assertions on, and compute ROI of those memories over stdio.
      MIT

    TDQS

    A4/5.0

    Scored across 8 tools

    Disambiguation3/5

    The capture lifecycle tools (prepare/verify/stage) are clearly separated by phase, and stale/runtime_identity are distinct. However, before_change, query, and guard overlap: before_change already runs the guard when a proposal is supplied, and query also returns ruled-out alternatives for a path. The descriptions help, but an agent could easily pick the wrong one for a pre-edit context lookup.

    Naming Consistency4/5

    All tools share the commitlore_ prefix and use lowercase snake_case, which is a clear and consistent pattern. The capture tools use verb_noun (prepare_capture, verify_capture, stage_capture), but before_change, stale, and runtime_identity are stylistic deviations, so the set is mostly consistent rather than fully uniform.

    Tool Count5/5

    Eight tools is well-scoped for this server's purpose: three for the capture pipeline, three for reading/guarding context, plus stale and runtime identity. Each tool has a place and the set feels neither bloated nor thin.

    Completeness4/5

    The core workflow is covered: retrieving records/context, checking proposals, and the prepare/verify/stage capture pipeline. Minor gaps exist—such as no direct way to update, dismiss, or resolve stale records—but these are workable and may be intentionally outside the MCP surface.

    Maintenance

    ActivityActive
    ResponsivenessResponsive