Structured Knowledge Page Generation

via “karpathy-style structured knowledge organization”

I shipped a wiki layer for AI agents that uses markdown + git as the source of truth, with a bleve (BM25) + SQLite index on top. No vector or graph db yet.It runs locally in ~/.wuphf/wiki/ and you can git clone it out if you want to take your knowledge with you.The shape is the one Ka

Unique: Applies Karpathy's documentation philosophy to agent-generated knowledge, emphasizing clarity, structure, and progressive refinement. This design treats the wiki as a living document that agents continuously improve rather than a dump of raw findings.

vs others: More organized and human-friendly than unstructured agent logs or raw notes, but requires more discipline from agents and may slow down rapid knowledge capture.

via “seo-optimized-knowledge-page-generation”

Unique: Tightly couples semantic search indexing with SEO page generation, treating search-relevance and search-engine-discoverability as a unified problem rather than separate workflows — pages are generated from vector-indexed content, ensuring consistency between what users find via semantic search and what Google finds via crawling

vs others: Eliminates manual SEO optimization work that Notion, Confluence, or static site generators require; more automated than Docusaurus or MkDocs but less customizable than hand-tuned SEO in custom-built documentation sites