#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

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

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