dsh-local-rag
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- AlicenseNot gradedqualityBmaintenanceEnables 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
- 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.-
- AlicenseBqualityBmaintenanceEnables 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.8MIT
- 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
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to search and browse a local, CJK-aware full-text index over coding-agent session histories (Claude Code, ZCode, Kimi, dsh, Qoder, OpenCode) via tools for searching sessions, listing sessions, fetching original messages, listing agents and tools, and refreshing the index.MIT
- 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
TDQS
Scored across 4 tools
Each tool maps to a distinct operation in the RAG lifecycle: rag_search retrieves, rag_open expands context around a hit, rag_index rebuilds, and rag_stats reports status. Descriptions explicitly cross-reference each other (rag_open consumes ids from rag_search; rag_index notes the full-rebuild CLI alternative), leaving no overlap.
All four tools use the same rag_ prefix plus a short lowercase verb (open, index, stats, search), fully consistent snake_case with no stray styles. The namespace prefix also makes the tools instantly recognizable as belonging to one server.
Four tools is on the thin side, but each covers a genuinely needed verb (search, fetch-context, build, inspect) with no filler. It is well-scoped for a local index server, though one or two more operations (e.g. source listing or pruning) would not feel redundant.
The read path (search → open for context) and the maintenance path (index → stats) are both covered, which handles the core recall and rebuild workflows. Minor gaps remain: no way to remove or exclude stale content, and no listing of which sources exist beyond the aggregate counts in rag_stats.