LLM Wiki — Karpathy Knowledge Base Pattern

Experimental skill — iterating. Authored by Lewis Liu (lylewis@outlook.com) · Inspired by Karpathy's llm-wiki Gist

Core idea

Instead of RAG (re-retrieving raw docs on every query), the LLM compiles raw sources into a persistent, cross-linked wiki. Every ingest, query, lint, and audit pass makes the wiki richer. Knowledge compounds — and the human stays in the loop through a structured feedback channel instead of ad-hoc corrections that get lost.

• You own: sourcing raw material, asking good questions, steering direction, filing feedback on anything the AI got wrong.
• LLM owns: all writing, cross-referencing, filing, bookkeeping, and acting on your feedback.

Every session starts by reading purpose.md, schema.md, and wiki/index.md.

One layout

There is one layout and no profile to pick. docs/specs/llm-wiki-app-independence-decision.md settled that, along with the rule underneath it: nothing here depends on any application. No install step, no daemon, no private state directory, no HTTP API, no third-party Python package. The scripts read and write plain Markdown with the standard library. A wiki produced here opens in Obsidian, in a text editor, and in anything else that reads Markdown, but requires none of them.