RAGDown
Related Servers
Alternatives to RAGDown
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to search, read, create, and maintain a local-first knowledge base using hybrid retrieval and Markdown note management through the Model Context Protocol.01MIT
- FlicenseNot gradedqualityAmaintenanceEnables AI agents to search and query a local knowledge base of scattered notes and docs through hybrid vector plus BM25 retrieval with section-level citations, and to store, retract and explore durable memories, note links and agent harness memories. It also exposes note resources plus briefing, study-plan and contradiction-check prompts, all backed by a shared local index.-
- AlicenseNot gradedqualityAmaintenanceTurns a folder of Markdown notes into an agent-native knowledge base, providing long-term memory with provenance, token-budgeted retrieval, and safe write-back with versioning.MIT
- FlicenseNot gradedqualityAmaintenanceEnables AI agents to search and question a personal knowledge base of notes and documents through hybrid vector and BM25 retrieval, with section-level citations. It also lets agents store, retract, and explore durable memories, links, and indexing statistics across tools.-
- AlicenseNot gradedqualityBmaintenanceLets AI agents retrieve source-linked passages from a local folder of Markdown notes or an Obsidian vault, optionally following the explicit links between notes, and can also fetch passages from pinned public GitHub files you configure. It returns bounded evidence packets with original text, file paths and hashes so agents can answer from your material rather than generating content themselves.1MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to search, read, and navigate a folder of Markdown notes as a knowledge base, with full-text search, backlinks, tags, metadata, and note resources for conversation attachment.1MIT
TDQS
Scored across 12 tools
Each tool targets a distinct action (recall=search, list=browse, backlinks=referrers, context=hook injection), and descriptions carefully differentiate close pairs like recall vs context and write vs edit. The only mild overlap is remember vs write, since both create documents, though descriptions clarify remember never overwrites and is intent-specific.
Every tool uses the same ragdown_ prefix with snake_case, and verb-based names (read_doc, write, edit, move, delete, list, recall, remember) dominate. The few noun names (backlinks, context, stats) still fit the uniform convention.
12 tools is well within the ideal 3-15 range and each one earns its place in a document-RAG workflow. No redundant or filler tools are present.
Full lifecycle coverage exists: create (remember/write), read (read_doc/list), update (edit/write), delete, plus move with link rewriting, search (recall), backlinks, reindex, and stats. This covers the domain thoroughly with no obvious dead ends.