Enables writers and researchers to manage large Markdown documents with AI-powered tools, including version history, semantic search, and context management.
Transforms Obsidian vaults into AI-powered knowledge bases using multi-layer RAG with advanced knowledge graph integration, enabling semantic search, entity extraction, and relationship mapping across personal notes.
Transforms a folder of Markdown files into a structured, version-controlled knowledge base with semantic search and safe AI editing via draft branches.
Enables AI agents to explore and analyze a markdown vault as a traversable knowledge graph, with tools for searching, traversing, and finding implicit semantic connections between notes.
Enables AI agents to search, read, and traverse a local knowledge base of Markdown files using full-text search and relationship graph, reducing token usage.