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How I Built a Second Brain with Karpathy's LLM Wiki: 153 Reports to Living Knowledge Graph When Andrej Karpathy published his LLM Wiki pattern on GitHub Gist in early April 2026, it hit like a revelation. I had already been building a second brain with Obsidian and Claude Code. But something was missing--a systematic way to extract structured knowledge from raw sources. Karpathy's pattern was exactly that missing piece. I took 153 research and sensing reports sitting idle in Obsidian, ran them through the LLM Wiki pipeline, and ended up with 146 source summaries, 48 entity pages, and 29 concept pages--all cross-linked into a living knowledge graph. Here is exactly how I did it, what worked, and what still needs fixing. Karpathy's LLM Wiki GitHub Gist--the blueprint for compile-time knowledge processing. Source: llm-wiki What Is Karpathy's LLM Wiki and Why It Matters LLM Wiki is a knowledge management pattern where an LLM reads raw source documents, extracts ent...

Andrej Karpathy's Knowledge Management Method: 5 Principles Behind His LLM Knowledge Base System Andrej Karpathy just shifted the way knowledge workers think about personal information systems. On April 3, 2026, the former Tesla AI Director and OpenAI founding member published "LLM Knowledge Bases"--a system where an LLM automatically builds, connects, and maintains a markdown wiki from raw sources. No RAG pipeline. No vector database. Just structured markdown files navigated by an index and summaries ( GitHub Gist ). The system currently runs about 100 documents totaling 400,000 words. Karpathy's core claim is striking: "A large fraction of my recent token throughput is going less into manipulating code, and more into manipulating knowledge." That represents the latest stage in a progression from vibe coding (2025) to agentic engineering (early 2026) to knowledge manipulation (April 2026) ( The New Stack ). But this didn't appear out of nowhere. Karp...