Over the past week I’ve watched three things happen:
- Someone discovered an open-source LLM Wiki desktop app that actually turns your notes into a linked knowledge base instead of just filing them.
- People started combining the LLM Wiki pattern with ChatGPT to auto-generate complex content at once.
- A foreign minister is reportedly building a diplomatic knowledge graph with it on a Raspberry Pi. The Karpathy LLM-Wiki pattern is clearly moving from ‘smart tweet thread’ to actual tooling. I’ve been building llm-wiki-compiler, an open-source CLI that takes the same idea and keeps it fully markdown-native:
- Sources → compiled interlinked wiki
- Two-phase pipeline: concept extraction, then page/link generation
- Incremental compile with SHA-256 change detection
- Query --save compounds answers back in, so the wiki improves every session
- Plain markdown output: readable, portable, versionable, Obsidian-friendly It’s not a SaaS. It’s not a replacement for RAG. It’s a knowledge artifact you own, curate, and grow over time. Repo: https://github.com/atomicmemory/llm-wiki-compiler Would love to hear what other implementations of the Karpathy pattern people are using. submitted by /u/riddlemewhat2
Originally posted by u/riddlemewhat2 on r/ArtificialInteligence
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