LLM Wiki – example of an "idea file" (gist.github.com) AI

The article proposes an “LLM Wiki” pattern where an AI agent builds a persistent, interlinked markdown knowledge base that gets incrementally updated as new sources are added. Instead of re-deriving answers from scratch like typical RAG systems, the wiki compiles summaries, entity/concept pages, cross-links, and flagged contradictions so synthesis compounds over time. It outlines a three-layer architecture (raw sources, the wiki, and a schema/config), plus workflows for ingesting sources, querying, and periodically “linting” the wiki, with examples ranging from personal notes to research and team documentation.