OpenMAIC — Open Multi-Agent Interactive Classroom
Open-source multi-agent AI interactive classroom platform by Tsinghua University.
What is OpenMAIC — Open Multi-Agent Interactive Classroom?
OpenMAIC (Open Multi-Agent Interactive Classroom), developed by the THU-MAIC team at Tsinghua University, is an open-source AI platform designed to transform online education. Often referred to in community discussions as the 清华大学openmaic or 清华开源课程open project, it moves beyond passive video lectures toward active, personalized, and social AI-driven learning. By leveraging large language model (LLM) orchestration via LangGraph, OpenMAIC generates complete, real-time interactive lessons from any topic description or uploaded document. The platform simulates an authentic classroom populated by AI teachers, teaching assistants, and classmates who participate in discussions and debates. While some users search for an openmaic网页版进入 (web version entry) or compare its highly interactive, multi-agent narrative setup to an educational 'paper galgame', it is fundamentally a robust academic and practical tool for modern AI education.
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OpenMAIC — Open Multi-Agent Interactive Classroom Pricing Plans
Compare OpenMAIC — Open Multi-Agent Interactive Classroom free options, OpenMAIC — Open Multi-Agent Interactive Classroom paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.
Free open-source (AGPL-3.0), contact for commercial licensing
Pricing updated:Jun 12, 2026
OpenMAIC — Open Multi-Agent Interactive Classroom AI Features
OpenMAIC — Open Multi-Agent Interactive Classroom Pros and Cons
Pros
- Completely open-source under the AGPL-3.0 license
- Validated with over 700 students at Tsinghua University across two years of real-world testing
- Highly engaging and social learning experience compared to traditional static online courses
- Supports flexible deployment options including Docker, Vercel, and self-hosting
- Compatible with a wide range of top LLM providers (Gemini, OpenAI, Anthropic, DeepSeek)
Limitations
- Requires manual setup, API keys, and technical configuration for local deployment
- Dependent on third-party LLM API availability and token costs for continuous use