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    • A
      license
      Not graded
      quality
      A
      maintenance
      Serves focused, token-bounded context from a project-local SQLite structural code graph to AI coding agents, exposing indexed entities, Git relationships and recorded project memory for exploration, impact analysis and session continuity. Runs locally with a CLI, hooks, authenticated dashboard and optional plugin providers.
      6 npm
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    • A
      license
      B
      quality
      A
      maintenance
      Local-first engineering memory and code-graph tools for coding agents. Supports private session handoffs, code-cited knowledge, repository graph inspection, and optional Git-backed team sharing.
      25
      11 npm
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    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI coding agents to query a locally indexed structural code graph — source entities, callers/callees, Git relationships and recorded mistakes — so they retrieve focused, token-bounded context instead of reading entire files. It runs over local SQLite and can be served through a CLI, agent hooks, an MCP executable and an authenticated local dashboard.
      6 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to retrieve hyper-targeted, token-efficient context from a codebase by querying a locally built AST knowledge graph, and to persist cross-session agent memory through 17 MCP tools. All indexing and retrieval run entirely offline, so proprietary code never leaves the machine.
      80 PyPI
      1
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    • A
      license
      Not graded
      quality
      A
      maintenance
      Serves AI coding agents focused context from a project-local SQLite graph of source entities and Git relationships, so they can retrieve relevant code, trace callers/callees and impact, and carry recorded mistakes into later sessions without reading whole files. Queries render bounded, token-estimated packets while all indexing stays on the local machine.
      6 npm
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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI coding agents to persist and retrieve notes, code entities, and typed links in a local graph database across sessions, with hybrid offline search, graph traversal, and staleness checks. It also supports export/import and CLI access for backup and transfer.
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    TDQS

    B3.1/5.0

    Scored across 30 tools

    Disambiguation4/5

    The set is mostly well-differentiated, with clear splits between node/edge CRUD, note operations, indexing, and context queries. Minor overlaps remain, especially between search_vault and search_nodes, and between consolidation_report and detect_divergence, but descriptions usually clarify the intended choice.

    Naming Consistency4/5

    All tool names use snake_case consistently, and most follow recognizable verb_noun or verb_object patterns. A few tools are noun-only or prepositional phrases (neighbors, graph_stats, path_between, impact_of), which is a minor deviation from a strict verb_noun convention.

    Tool Count2/5

    With 30 tools, the surface is above the 25+ threshold that typically indicates an overloaded set. The domain is complex, but the many granular single/batch and lifecycle operations could likely be consolidated or grouped more tightly.

    Completeness4/5

    The set covers node/edge lifecycle, note lifecycle, indexing, retrieval, impact analysis, pathfinding, stats, divergence detection, and consolidation. Gaps are minor: no batch delete, no explicit edge listing/search, no note rename, and no wikilink removal beyond additive sync.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues