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    • A
      license
      A
      quality
      B
      maintenance
      Gives coding agents read-only tools that return, in one call, a declaration's callers traced up to entry points or its callees down to 8 levels, plus a map of directories, files, declarations and every usage of a symbol. Maps TypeScript, JavaScript, Go, Python and Java using each language's own compiler, so a change's impact can be traced across imports, methods, interfaces and decorators.
      4
      952 npm
      8
      Apache 2.0
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables querying and analyzing code relationships by building a lightweight graph of TypeScript and Python symbols. Supports symbol lookup, reference tracking, impact analysis from diffs, and code snippet retrieval through natural language.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents and terminal users to query codebases for callers, impact, tests, dependencies, and refactor previews using static AST analysis, with every match accounted for and uncertain relationships clearly marked.
      747 npm
      2
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI coding agents and developers to search code by meaning and exact text, map symbols, dependencies, blast radius and context, inspect git-change impacts, and trace live Python or JavaScript execution from a local air-gapped SQLite index.
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI coding agents to query a local code graph over stdio, so they can see what a Git change may affect, find related tests, routes and nodes, and cite evidence paths — read-only and fully on-machine.
      1 npm
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Tracks the complete lineage and DNA of every line of code, enabling impact analysis, bug risk prediction, and code archaeology through deterministic analysis of git history and AST.
      MIT