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workspace-search

workspace-search

by GuoHaoyu1688

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    • A
      license
      B
      quality
      B
      maintenance
      Enables AI agents to search any local folder through a private SQLite FTS5 index that extracts text from PDFs, Office documents, plain text, code and zip listings, returning ranked matches instead of slow ls/grep scans. It also supports metadata and glob listing, paged retrieval of already-extracted text, duplicate detection, and incremental background re-indexing with secrets and caches excluded by default.
      8
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables agents to run full-text search inside Word, PowerPoint, Excel, PDF, and plain-text files by extracting their contents into a single local SQLite FTS5 index. Exposes tools to search documents with ranked highlighted snippets and human-readable locators, list indexed files, and incrementally build or refresh the index.
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI agents to search a local folder of Markdown, AsciiDoc, and text files through a SQLite FTS5 keyword index, returning the most relevant sections with file paths, line ranges, and heading breadcrumbs instead of grepping through a repo. It also exposes tools to list indexed documents and refresh the index incrementally, all offline with no dependencies, network calls, or embeddings.
      3
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to search local files by name, path, metadata, and literal text over MCP on Windows, Linux, and macOS, while keeping searches within explicitly configured directories and running locally over stdio.
      7
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables Claude to query a locally imported collection of PDF, TXT, and MD files via SQLite FTS5 full-text search (including Chinese), and to browse notebooks, source files, and individual passages. Every search result carries traceable citations such as filename, page number, line number, or timestamp.
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents and MCP hosts to search and query a local hybrid vector/BM25 index of scattered notes, docs, PDFs, Office files, web pages, org files, and chat exports. It returns section-level citations so agents can ground answers in the user's own files.
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