Identifies knowledge gaps in markdown vaults, ranks them by priority, generates research questions, and offers long-tail sampling to break confirmation bias.
Surfaces forgotten notes from markdown vaults using wikilink graph structure and file mtime to identify dormant notes, then generates cross-domain bridge queries for serendipitous rediscovery.
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.
Provides retrieval and graph tools for agents to search, backlink, and navigate a markdown-based knowledge vault, enabling hybrid search and serendipitous discovery.
Scans markdown vaults to detect contradictory claims (quantitative and negation) between notes with high concept overlap, and provides tools for analysis and reconciliation.
Enables AI-powered knowledge base management with automated wiki-linking, content generation from titles, web research summarization, and knowledge graph integrity maintenance for Markdown files.