Open330

Open330 / kiwimu

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Turn textbooks, PDFs, and web content into your own interlinked learning wiki powered by LLM

17
3
100% credibility
Found Mar 20, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Kiwimu is a tool for transforming documents and web pages into a personal static wiki site with AI-generated concept breakdowns, internal links, and interactive quizzes.

How It Works

1
🥝 Discover Kiwimu

You hear about Kiwimu, a fun way to turn your notes and articles into your own personal study wiki full of smart links and quizzes.

2
🚀 Start your wiki

Give your wiki a friendly name like 'My Physics Notes' and set it up in a new folder on your computer.

3
🧠 Connect a smart helper

Link up a thinking service so Kiwimu can understand your content and create helpful pages automatically.

4
Add your first content
🌐
Webpage

Paste a link to an article and watch Kiwimu pull it in.

📄
Document

Upload your study notes or slides for Kiwimu to organize.

5
✨ Watch the magic happen

Kiwimu reads everything, breaks it into neat pages, pulls out key ideas as separate entries, adds links between them, and even makes practice quizzes.

6
👀 Preview your wiki

Open a local preview to browse your new pages, follow links, and test yourself with the quizzes.

7
🚀 Share it online

Push your wiki to the web with one command so friends or future you can access it anywhere.

🎉 Your study hub is alive!

Now you have a beautiful, connected knowledge base that grows with every new article or note you add.

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AI-Generated Review

What is kiwimu?

Kiwimu turns textbooks, PDFs, DOCX, PPTX files, or web pages into a personal interlinked learning wiki using LLMs like Gemini or OpenAI. Run `kiwimu init` for a new project, `add file.pdf` or URL to ingest content—LLM chunks it into source pages, extracts concepts as linked subpages, generates quizzes, then `build` spits out a static site ready for `deploy` to GitHub Pages or Vercel. Like turning GitHub repo into wiki, but for turning in textbooks as searchable, quiz-ready knowledge bases.

Why is it gaining traction?

One-command workflow from raw PDF to deployed wiki skips manual chunking or linking—LLM handles structure, cross-references, and even Korean/English content styling via personas. Built on TypeScript/Bun for fast CLI, with `quiz` mode for spaced repetition and `serve` for live previews. Stands out for devs wanting Roam/Obsidian vibes without the app lock-in.

Who should use this?

Students digesting lecture PDFs into quiz wikis, researchers turning GitHub repo into website-style topic graphs from papers, or self-learners building deployable notes from web articles. Skip if you need team collab; perfect for solo "turn GitHub repository private" knowledge vaults.

Verdict

Promising 0.8.0 alpha (17 stars, 1.0% credibility) with good CLI UX, tests, and demo—rough on edge cases like complex layouts, but constructive start for LLM-powered personal wikis. Boot with `--demo` before committing PDFs.

(187 words)

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