anydocs
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- AlicenseAqualityCmaintenanceEnables 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.3MIT
- AlicenseNot gradedqualityAmaintenanceTurns 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
- AlicenseNot gradedqualityBmaintenanceEnables 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
- AlicenseNot gradedqualityBmaintenanceGives AI agents fast, read-only access to a local knowledge base of Markdown notes and other text documents via a SQLite full-text index. Enables ranked section-level search, reading whole notes or single sections, heading outlines, note listing, and link/backlink navigation without slow disk walks.Apache 2.0
- AlicenseNot gradedqualityAmaintenanceEnables 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
- FlicenseNot gradedqualityCmaintenanceEnables 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.-
TDQS
Scored across 5 tools
All five tools have clearly distinct purposes: search_docs for ranked snippet search, grep_docs for raw regex fallback, read_doc for full page/section reading, list_sources for enumerating documentation sets, and list_pages for mapping pages within a source. No overlap in functionality.
Every tool follows a consistent verb_noun pattern with snake_case (e.g., grep_docs, list_pages, search_docs), making the naming predictable and easy for agents to infer tool behavior.
Five tools is an ideal size for a documentation server: it covers all essential operations (listing, searching, reading) without bloat. Each tool earns its place and the set is well-scoped for the domain.
The tool surface is complete for a read-only documentation server. It provides listing, searching (both standard and regex), and reading capabilities. The inclusion of grep_docs as a last-resort raw search fills a niche gap, and no obvious CRUD operations are missing for this use case.