{"repo":"zhurudong/andrej-karpathy-llm-wiki","free":true,"listed":false,"github":"https://github.com/zhurudong/andrej-karpathy-llm-wiki","clone":"git clone https://github.com/zhurudong/andrej-karpathy-llm-wiki.git","description":"A minimal CLAUDE.md template that turns any LLM CLI into a personal knowledge base. Drop in one file, start ingesting articles. Karpathy's LLM Wiki pattern.","language":"Shell","stars":22,"topics":["claude-code","knowledge-base","llm","llm-wiki","rag-alternative","wiki","agents-md","ai-agents","claude-md","codex-cli"],"license":null,"category":"ai-agents","readme_excerpt":"Karpathy-Inspired LLM Knowledge Base English 简体中文 One CLAUDE.md = a self-maintaining local knowledge base. No backend, no vector DB, no RAG framework. After that one line, open your LLM CLI inside my-kb/ and say ingest https://example.com/article — you now have a knowledge base the LLM organizes, indexes, and queries for you. Everything is plain markdown; open it with any editor. Inspired by Andrej Karpathy's gist: . Why Most \"personal knowledge base\" solutions take one of two paths: - Note-taking apps (Notion / Obsidian / Logseq) — great for storage and browsing, but tagging, linking, and organizing is all manual. - RAG / vector search — great for Q&A over large corpora, but needs embedding services, a vector store, and an ingestion pipeline. Heavy, fragile, opaque. This project takes a third path: let the LLM do the organizing, use markdown files as the substrate, use wiki-links as the graph, and use an LLM CLI as the runtime. - Raw articles are immutable; LLM-generated summaries / entities / concepts can be recompiled anytime - Everything is plain markdown — works with any editor, Git, grep - The knowledge graph emerges naturally from [[wiki-link]] — no graph DB - Switching LLM tools requires zero data migration — the rules live in CLAUDE.md Typical use cases: - Reading papers — drop an arXiv link; the LLM generates a summary and links it to existing concepts - Following a field — ingest industry blogs regularly; overviews/ organically form topic surveys - Archiving your o","default_branch":null,"files":null,"tree":[],"storefront":"/r/zhurudong","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/zhurudong/andrej-karpathy-llm-wiki/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}