#knowledge-management

Capture, organize, and develop ideas using structured thinking frameworks

Build and maintain AI-accessible knowledge bases for projects

Track books, articles, and reading progress with curation and note-taking

Build knowledge graphs for support systems, connecting concepts, articles, and solutions

Two-stage AI processor for Obsidian: atomizes large multi-concept notes into discrete atomic notes, then uses context-aware LLM reasoning to categorize them into PARA structure with nuanced Project vs Area distinction based on vault context and user patterns