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ekadetov / llm-wiki

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LLM Wiki — Claude Code plugin for persistent, compounding knowledge bases in Obsidian

15
1
100% credibility
Found Apr 07, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A Claude Code plugin that builds and maintains persistent knowledge bases in Obsidian by ingesting sources, compiling linked note pages, answering queries with citations, and checking for quality issues.

How It Works

1
🕵️ Discover llm-wiki

While chatting with your AI assistant Claude, you learn about a handy tool that turns articles into a growing knowledge base right in your note-taking app Obsidian.

2
🔧 Add the plugin

You simply tell Claude to install the llm-wiki plugin, and it sets everything up automatically in your session.

3
📂 Start your wiki

Create a new folder for a topic you're interested in, like 'machine learning', and it builds the perfect structure for collecting knowledge.

4
📥 Add your sources

Drop in articles from files or web links, saving them safely as the foundation of your knowledge.

5
🔗 Build connections

Watch as it reads your sources, creates summary pages for ideas and people, links them together, and updates your main index.

6
❓ Ask questions

Chat with the wiki by asking anything, get smart answers with direct links to your notes, and even save new insights back in.

7
🔍 Check and improve

Run a quick review to find gaps, broken links, or outdated info, and let it fix what it can automatically.

🎉 Enjoy your smart wiki

Now you have a living knowledge base in Obsidian that grows with every addition, showing connections in graphs and tables for easy exploration.

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Star Growth

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AI-Generated Review

What is llm-wiki?

llm-wiki is a Python-based Claude Code plugin that turns your Obsidian vault into a persistent, git-tracked knowledge base using the Karpathy LLM Wiki pattern. Drop in sources via URLs or files with `/llm-wiki:wiki ingest`, compile them into summarized concept pages and indexes with `/compile`, then query for synthesized answers with wikilink citations using `/query`. It lints for gaps like dead links or orphans via `/lint`, keeping your llm wiki english or multilingual bases compounding over time.

Why is it gaining traction?

It stands out with seamless Obsidian graph views, dataview tables, and optional qmd hybrid search (BM25 + vectors) for llm wikipedia rag workflows, falling back gracefully for small wikis. Git auto-commits ensure versioned changes, while web clipper integration feeds raw sources directly—no manual setup. Developers dig the llm github integration for local models, turning scattered notes into queryable llm github projects like wikipedia llm models or wikidata llm bases.

Who should use this?

Obsidian enthusiasts building personal llm wiki law or research vaults. AI researchers prototyping llm wikipedia dataset ingestion for RAG. Claude Code users wanting an llm github local alternative to bloated tools, especially for llm github course notes or domain-specific wikis.

Verdict

Worth a spin for Claude + Obsidian niches—solid docs and user commands make it dead simple despite 15 stars and 1.0% credibility score signaling early maturity. Fork or watch this llm github repository if persistent wiki js llm appeals; skip if you're not in the ecosystem.

(178 words)

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