llm-wiki-plugin

Build and maintain an LLM-curated personal knowledge base in your project. An implementation of Andrej Karpathy's LLM Wiki pattern as a Claude Code plugin, designed to scale to thousands of pages without becoming a context bottleneck.

Most ways of using LLMs with documents look like RAG: you upload files, the LLM retrieves chunks at query time, generates an answer, and nothing accumulates. Every question re-derives knowledge from raw fragments. Karpathy's LLM Wiki pattern flips this — when a new source arrives, the LLM compiles it once into a persistent, structured wiki of markdown pages, and subsequent queries read the pre-synthesized wiki rather than the raw sources. Knowledge compounds.

This plugin packages the pattern as a Claude Code skill plus six slash commands (`/wiki:init`, `/wiki:ingest`, `/wiki:query`, `/wiki:lint`, `/wiki:stats`, `/wiki:graph`) and a small set of bundled Python scripts (BM25 search, structural lint, stats with scaling thresholds, plus an optional compiled graph layer). You curate sources and ask questions; Claude does the bookkeeping.