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Glama

Related Servers

Alternatives to Project Brain

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI coding agents to search and navigate indexed codebases through lexical, semantic, and hybrid queries, with tools for symbols, call graphs, outlines, spans, impact analysis, and recall.
      8
      Apache 2.0
    • A
      license
      Not graded
      quality
      D
      maintenance
      A graph-powered code intelligence engine that indexes codebases into a structural knowledge graph to provide AI agents with deep context on function calls, types, and execution flows. It offers local, zero-dependency tools for hybrid search, impact analysis, and dead code detection across Python, JavaScript, and TypeScript projects.
      1,036 PyPI
      816
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI coding agents to query a codebase as a graph, retrieving definitions, callers, callees, dependencies, and focused context so they fetch only the code they need instead of reading whole repositories.
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI coding agents to retrieve bounded, focused context from a local structural code graph, including source entities, Git relationships, and recorded project memory. It supports exploring structure, inspecting callers, callees, and impact, and carrying prior mistakes into later sessions without reading full files.
      24 npm
      MIT

    TDQS

    C2.8/5.0

    Scored across 13 tools

    Disambiguation3/5

    record_task_observation and record_task_lesson both capture L1 task evidence, differing mainly in strength; prepare_task_context and prepare_deep_context both prepare context, and impact_analysis/find_related_files overlap in graph analysis. Descriptions help, but an agent must read carefully to choose correctly.

    Naming Consistency4/5

    Most names follow a verb_noun snake_case pattern (record_task_observation, prepare_task_context, get_background_job, search_code, find_related_files, review_diff). impact_analysis is a noun phrase without a verb, a minor deviation from the otherwise consistent convention.

    Tool Count5/5

    13 tools is well within the ideal 3-15 range for a project memory and code intelligence server. Each tool appears to serve a distinct purpose, and the set is neither bloated nor thin.

    Completeness3/5

    The server offers many recording tools (observation, lesson, outcome, decision, rule) and analysis/retrieval helpers (ask_project, prepare_context, search_code, find_related_files, impact_analysis). However, there is no direct way to retrieve, list, update, or approve recorded memory, and the mentioned L3 human approval step is not exposed as a tool, leaving notable lifecycle gaps.

    Maintenance

    ActivityActive
    ResponsivenessLimited data