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y1hanh

Headless Codebase Indexer

by y1hanh

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      license
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      quality
      C
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      Enables AI coding agents to quickly search and navigate large codebases by indexing symbols and references, offering tools for fuzzy symbol lookup, file outlining, and reference discovery without a language server.
      1
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables LLM agents to efficiently understand and navigate a codebase by providing semantic search over symbols and a reference graph, replacing expensive grep/glob calls with structured tools like definition lookup, caller/callee queries, and change-impact analysis.
      2
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    • A
      license
      Not graded
      quality
      C
      maintenance
      A local code indexing and search library that enables AI agents to perform semantic and keyword searches across codebases using tree-sitter and SQLite. It provides tools for indexing projects and finding precise code definitions without requiring external APIs, Docker, or server infrastructure.
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    • A
      license
      Not graded
      quality
      C
      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.
      289 PyPI
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    • A
      license
      Not graded
      quality
      A
      maintenance
      Indexes a codebase into a symbol-level graph and exposes tools for finding symbols, querying relationships, and assessing impact, letting AI coding agents answer structural questions in a single call within a token budget.
      116 npm
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Indexes codebases and lets AI agents retrieve precise code snippets (functions, classes, routes) instead of reading entire files, reducing token usage and improving accuracy.
      169 npm
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