THU-MAIC

THU-MAIC / OpenMAIC

Public

Open Multi-Agent Interactive Classroom — Get an immersive, multi-agent learning experience in just one click

438
49
100% credibility
Found Mar 16, 2026 at 392 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

OpenMAIC is an open-source platform that transforms any topic or document into interactive AI-driven classrooms with lectures, quizzes, simulations, and multi-agent discussions.

How It Works

1
🔍 Discover OpenMAIC

You hear about this fun AI classroom tool from a friend or online and visit the demo site.

2
🧠 Connect an AI helper

Link a smart AI service so it can create lessons just for you.

3
📝 Share your learning goal

Type a topic like 'Python basics' or upload notes, and pick your language.

4
✨ AI builds your classroom

Watch as it instantly crafts slides, quizzes, and interactive activities with AI teachers and classmates.

5
🎓 Experience the lesson

Press play to hear AI teachers explain, draw on the board, and chat with virtual students.

6
💬 Join discussions or quizzes

Ask questions, debate ideas, or test yourself with instant feedback from the AI group.

🌟 Mastered your topic

You've learned deeply through immersive, lively sessions and can export notes anytime.

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AI-Generated Review

What is OpenMAIC?

OpenMAIC is an open-source TypeScript app built with Next.js and LangGraph that transforms any topic or PDF into an immersive, multi-agent classroom experience with one click. AI teachers and classmates deliver lectures via slides, quizzes, interactive simulations, and project-based learning, complete with TTS voiceovers, whiteboard drawings, and real-time discussions. It solves the problem of dry, static learning by creating engaging, agent-driven sessions you can export as editable PPTX or HTML.

Why is it gaining traction?

Unlike basic slideshow generators, OpenMAIC stands out with its multi-agent system—powered by LangGraph orchestration—where agents debate, draw diagrams, and respond to your questions live, mimicking a real classroom. The one-click setup via Docker or Vercel, plus OpenClaw integration for generating classes from Slack or Telegram, hooks devs experimenting with multi-agent platforms on GitHub. Rich features like web search during lessons and speech recognition make interactive learning feel effortless.

Who should use this?

Educators turning research papers into interactive sessions, self-learners tackling dense topics like EEG emotion recognition or long docs, or edtech devs prototyping multi-agent classrooms. It's ideal for anyone building immersive experiences without wrangling agent code from scratch, especially in multi-agent GitHub projects or question-generation frameworks.

Verdict

Promising for multi-agent interactive learning, with a live demo and solid docs, but the 1.0% credibility score and 89 stars signal early-stage maturity—expect some rough edges. Try the Vercel deploy if you're into LangGraph experiments; worth starring for future potential.

(198 words)

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