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Alternatives to officegrep

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    • A
      license
      Not graded
      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.
      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
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to run incremental SQLite FTS5 full-text search over explicitly configured local workspace roots, covering Markdown, code, PDF, DOCX, XLSX, CSV and HTML with BM25 ranking, Chinese bigrams, and phrase, prefix, path, type and date filters. Exposes search, safe root-confined reads with line/page/sheet locations, recent-file listing, and reindexing as MCP tools so assistants can locate and quote source content without network or account access.
      MIT
    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables agents to search a local, fully offline personal document library (Markdown/txt/PDF/docx) via SQLite FTS5 trigram search with subject-terminology expansion, returning every hit with its domain, document title, section path, and page or offset provenance. It also exposes domain statistics, incremental ingestion, and document deprecation as tools, alongside a read-only, runtime-persona-scoped ask/coverage mode.
      -
    • A
      license
      Not graded
      quality
      A
      maintenance
      Turns a local folder of documents into a queryable index that an LLM agent can pull from on demand, keeping only a compact table of contents in context. Exposes five tools (index, search, read, grep, neighbours) over a single offline SQLite FTS5 store so the model retrieves exact, citable sections instead of being handed whole files.
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Indexes local documents (PDF, Word, Markdown, text) into a SQLite database for AI agents to search and retrieve bounded, source-located passages. Runs fully locally with optional OCR, preserving privacy.
      5
      MIT