RAGDown
Related Servers
Alternatives to RAGDown
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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.9 npm1MIT
- 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
- 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.MIT
- AlicenseAqualityCmaintenanceEnables local-first hybrid knowledge retrieval from authorized Markdown and plain-text files, combining full-text and vector search with reranking and traceable source references via a single search tool.1MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to semantically search and retrieve content from a local Markdown vault. Provides tools for fetching specific notes and finding related ones via embeddings and wikilinks.MIT
- AlicenseNot gradedqualityAmaintenanceProvides coding agents with persistent local memory by exposing tools to save, search, and retrieve decisions, bugs, and context as Markdown with hybrid keyword and semantic search.4MIT
TDQS
Scored across 9 tools
Recall and context both perform similarity retrieval, but their descriptions clearly separate ad-hoc search from pre-turn hook injection; remember and edit also overlap in creating notes but are distinguished by auto-named immutable notes vs explicit path/update. The remaining tools map cleanly to distinct actions.
All tools share the ragdown_ prefix and are readable, but the second part mixes verb forms like reindex, remember, read_doc, and recall with noun forms like stats, backlinks, and context. This is a minor inconsistency rather than a chaotic pattern.
Nine tools is well within the ideal range for a notes-RAG server. Each tool covers a distinct function—indexing, adding, reading, editing, browsing, backlinks, stats, search, and context injection—so none feels redundant.
The surface covers the core notes lifecycle plus retrieval and context integration: create via remember/edit, read via read_doc/list, update via edit, search via recall/context, and note graph via backlinks. The main gap is an explicit delete/remove operation, though supersede and empty edits provide partial workarounds.