nashsu/llm_wiki

Karpathy-style LLM Wiki Desktop App: hydrate raw docs into dense Markdown entries; retrieve by keyword + link traversal. No embeddings, no vector DB. Karpathy llm wiki, pdf-parser, knowledge-base, rag。https://arxiv.org/abs/2605.15184

Kenjaku is a Karpathy-style LLM wiki, reinforced where it counts with battle-tested software (including a local RAG).

Open Source Implementation of Karpathy's LLM Wiki. Upload documents, connect your Claude account via MCP, and have it write your wiki !

Local-first AI knowledge app and Agent Skill with evidence-backed Wiki, an interactive knowledge universe, Viki Q&A, and shareable knowledge galaxies.

A living wiki your AI writes from your notes, code, AI chats (memories), and docs, checked against sources. It flags what it can’t back up and updates pages when sources change. Supports Claude, Codex, Obsidian...

Synthadoc: An open-source LLM knowledge compilation engine that turns raw documents into structured, local-first wikis. A transparent, human-readable alternative to traditional RAG, which can be self-managed and self-improved without the use of any tools.

Build Karpathy's LLM Wiki with Claude Code. L1/L2 cache architecture. Logseq + Obsidian support.

Build your own LLM-native WIKI (knowledge library). Search, extract, summarize, Q&A with contextual RAG, layered knowledge graph, and reinforced memory. Importantly use selected context to automatically generate skills, empowered by Claude subagents + CodeAct pipeline and gated by human review. **Try Live Demo**: https://byo-wiki-demo.vercel.app

Turn your documents into a Markdown wiki you can read, that answers with citations. Works with any LLM provider, Ollama included. CROW: 99.5% right note read vs 79%, 1.6× faster ingest, 63% fewer LLM tokens, no scaling limit.