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mduongvandinh / llm-wiki

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Hệ thống knowledge base cá nhân hoàn toàn tự động, vận hành bởi LLM. Dựa trên pattern LLM Wiki của Andrej Karpathy.

andrej-karpathy claude-code llm
20
13
100% credibility
Found Apr 07, 2026 at 20 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

LLM Wiki is an automated personal knowledge base that uses AI to discover online sources, synthesize structured markdown pages, maintain cross-references, detect conflicts, and answer queries on user-defined topics.

How It Works

1
👀 Discover LLM Wiki

You hear about a smart system that builds your personal knowledge library automatically on topics you love, just by telling it what interests you.

2
📥 Bring it home

Download the project to a folder on your computer and make a copy of the ready-to-use settings.

3
✏️ Pick your passions

Open the settings and list the topics, keywords, and sources you want to follow, like AI news or business ideas.

4
🤖 Link your AI helper

Copy special instructions to your favorite AI chat tool so it knows exactly how to build and update your wiki.

5
🚀 Start the magic

Tell your AI to discover new info, process it into neat pages, check for issues, and build your wiki — it happens in moments.

6
📖 Dive into your wiki

Open the wiki folder in a note app or the built-in viewer to see organized pages, connections, and graphs of your knowledge.

7
💬 Ask and learn

Chat with your AI about anything in the wiki, get answers with sources, and see daily summaries of new insights.

🌟 Knowledge grows forever

Set it to refresh automatically every hour or day, so your personal brain keeps learning and stays fresh without any effort from you.

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Star Growth

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AI-Generated Review

What is llm-wiki?

LLM Wiki is a fully automated personal knowledge base powered by LLMs, turning your chosen topics into a structured, self-maintaining wiki. It discovers sources online, ingests and synthesizes them into markdown pages with cross-references, detects conflicts, and stays current—no manual work beyond reading or querying. Built as an HTML-based system inspired by Andrej Karpathy's LLM Wiki pattern, it integrates with tools like Claude Code via slash commands such as /llm-wiki run for full cycles or /llm-wiki query for answers, viewable in Obsidian or a browser graph dashboard.

Why is it gaining traction?

Unlike traditional RAG setups that re-retrieve every query, LLM Wiki compiles knowledge once and compounds it over time with automatic maintenance, cross-links, and gap-filling—ideal for llm wikipedia rag or wikidata llm workflows. Developers dig the hands-off automation via config-driven feeds from GitHub trending, Reddit, or Twitter, plus linting for inconsistencies, making it a lightweight alternative to vector DBs. The llm wiki github repo's focus on LLM-driven discovery hooks those experimenting with Karpathy-style patterns in English, law, or Deutsch datasets.

Who should use this?

AI devs tracking agent trends or llm wikipedia english datasets who want a living knowledge base without DB setup. Indie hackers mining Reddit pain points for SaaS ideas via built-in discovery. Researchers building llm wiki law bases or personal second brains from GitHub repos and HN.

Verdict

Worth forking for personal use if you use Claude Code—solid docs and commands make setup fast despite 20 stars and 1.0% credibility score signaling early maturity. Skip for production until more battle-testing; it's a promising Karpathy base but needs wider adoption.

(198 words)

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