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tonbistudio / llm-wiki

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Open-source template for building LLM-powered knowledge bases following Karpathy's LLM Wiki pattern

35
11
100% credibility
Found Apr 11, 2026 at 35 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

An open-source template for turning raw notes and sources into a structured, AI-maintained knowledge base with summaries, cross-links, and query capabilities.

How It Works

1
👀 Discover LLM Wiki

You hear about a smart way to turn your scattered notes into an organized knowledge base that an AI maintains for you.

2
📥 Get the starter kit

You grab a ready-made folder structure to set up your personal wiki home.

3
✏️ Make it yours

You describe your topic, like recipes or research notes, so the AI knows what to focus on.

4
📝 Add your notes

You drop in articles, transcripts, or ideas into the sources area, keeping the originals safe.

5
🤖 Let AI build the wiki

You tell the AI to process your sources, and it magically creates summaries, links concepts, and builds pages.

6
💬 Ask and explore

You chat with the AI to get answers pulled from your wiki, complete with references to sources.

7
🔍 Keep it healthy

You run a quick check, and the AI spots gaps, fixes links, and suggests improvements.

📚 Master your knowledge

Now you have a living, growing wiki that helps you deeply understand any topic effortlessly.

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Star Growth

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AI-Generated Review

What is llm-wiki?

llm-wiki is an open-source Markdown template on GitHub for creating LLM-powered knowledge bases, inspired by Andrej Karpathy's llm wiki pattern. Drop plain text sources like articles or notes into a raw folder, then use simple commands like "ingest raw/my-source.txt" to let an LLM like Claude build structured wiki pages with summaries, concepts, entities, and cross-links. It solves the mess of scattered notes by automating a self-maintaining wiki you query naturally or lint for issues, with Obsidian integration for dashboards and flashcards.

Why is it gaining traction?

Among github open source tools and llm wiki github projects, it stands out with domain-agnostic customization via a schema file, plus user-facing extras like Mermaid diagrams, Marp slides, spaced repetition cards, and analytics charts—no coding required. Developers hook into it fast via CLI workflows for ingest, query, and health checks, turning raw data into cited answers or syntheses, unlike basic llm wikipedia rag setups. The MCP server compatibility adds programmatic access for advanced llm wiki english or multilingual flows like llm wikipedia deutsch.

Who should use this?

Researchers compiling llm wikipedia dataset for papers, analysts tracking llm wiki law or competitive intel, and devs building internal docs on APIs or patterns. It's ideal for course creators synthesizing lectures, book club leads extracting themes, or hobbyists deep-diving topics like personal development frameworks—anywhere raw sources need structured, queryable output without manual editing.

Verdict

Try it if you need a quick llm wiki github starter; the README docs are solid for a 35-star repo, but the 1.0% credibility score flags its early maturity—expect tweaks for production. Solid foundation for open source html templates in knowledge work, worth forking over generic open source github copilot alternatives.

(198 words)

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