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semantic-code-intelligence

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      Enables AI agents and IDEs to ingest and search code repositories using hybrid retrieval (dense + sparse) with exact line-level citations for precise code analysis.
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    • A
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      Enables coding agents to query local notes, decisions, docs, and code with hybrid retrieval (BM25 + embeddings + reranking) and get path:line citations. It provides tools like rag_query for full-corpus search and search_knowledge for project-scoped knowledge recall.
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    • A
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    TDQS

    B3.4/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: indexing, hybrid search, dependency/call-graph retrieval, and bounded file reading. Although search and read_file both return code, their boundaries are clear from descriptions (retrieval vs direct file access).

    Naming Consistency4/5

    All tools share the consistent code_intel_ prefix, which provides a predictable namespace. However, suffixes mix verb forms (search, index) and noun forms (symbol_graph), so the pattern is mostly but not perfectly consistent.

    Tool Count5/5

    Four tools is well-scoped for a code intelligence server, covering the essential operations of indexing, searching, graph exploration, and reading without redundancy or bloat.

    Completeness4/5

    The core lifecycle (index → search → explore graph → read file) is covered, but missing operations such as listing indexed repositories, retrieving symbol definitions, or index management could create minor dead ends for some agent workflows.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues