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Related Servers

Alternatives to local-brain-mcp

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    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides AI coding assistants with persistent, context-rich memory of a codebase, including documentation and git history, enabling recall across sessions.
      104
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides persistent memory for AI coding assistants, storing and retrieving architectural decisions, patterns, and solutions across sessions using semantic search, while also offering git integration for commit messages and code expertise mapping.
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Provides persistent memory and a codebase knowledge graph for AI coding assistants, enabling shared context across multiple tools like Claude, Cursor, and ChatGPT, with significant token reduction.
      5
      18 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Federated, privacy-first shared memory for AI coding assistants that lets you capture, review, and share team knowledge via git without a central server.
      3 npm
      Apache 2.0

    TDQS

    A4.1/5.0

    Scored across 7 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes: learn, recall, validate, status, and trace are easy to tell apart. However, brain_prune and brain_forget both involve removing memories, and brain_recall and brain_trace both retrieve memories, so an agent could occasionally hesitate between them.

    Naming Consistency5/5

    All tool names follow the same brain_ prefix plus a lowercase verb pattern, such as brain_learn, brain_recall, and brain_forget. The naming is highly consistent and predictable.

    Tool Count5/5

    Seven tools is a well-scoped size for a local memory management server. Each tool covers a meaningful operation without bloat, and the count feels appropriate for the domain.

    Completeness4/5

    The tool set covers the core memory lifecycle: create (brain_learn), read (brain_recall, brain_trace, brain_status), validate (brain_validate), and delete/deprecate (brain_forget, brain_prune). There is no direct way to edit an existing memory's content, but forgetting and relearning can work around that gap.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues