thu-maic/openmaic

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

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Summary Information

Updated 46 minutes ago
Added to GitGenius on September 1st, 2026
Created on March 11th, 2026
Open Issues & Pull Requests: 236 (+0)
GitHub issues: Enabled
Number of forks: 4,991
Total Stargazers: 29,661 (+75)
Total Subscribers: 149 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 20.5 hours
Mean response time: 9.6 days
90th percentile: 27.2 days
Tracked items: 449

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 83% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "area:generation" is answered fastest, typically in about 9 hours, while "area:import-export" waits about 5 days. 31% of tracked open issues have had no activity in three months. Only 11% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 167
New in 7 days: 40
Closed in 7 days: 23
Avg open age: 91 days
Stale 30+ days: 119
Stale 90+ days: 52

Recent activity

Opened in 7 days: 39
Closed in 7 days: 22
Comments in 7 days: 16
Events in 7 days: 71

Top labels

  • enhancement (155)
  • bug (128)
  • priority:P1 (35)
  • priority:P2 (33)
  • type:task (32)
  • area:import-export (26)
  • status:in-progress (22)
  • status:icebox (20)

Detailed Description

OpenMAIC is a multi-agent interactive classroom platform that delivers an immersive learning experience through multiple AI agents working together in a single interface.

The tool addresses the challenge of creating engaging, interactive educational environments by orchestrating multiple language model agents that can collaborate, teach, and respond to learners. It uses LangGraph to manage agent workflows and interactions, allowing different agents to take on distinct roles within a classroom setting. The platform is built on Next.js and React, providing a web-based interface where users can access this multi-agent learning experience with minimal setup.

Developers building educational technology, learning platforms, or interactive tutoring systems should consider this tool if they want to leverage multiple AI agents without building the orchestration layer from scratch. The project supports integration with various language model providers through configurable API keys, and it offers local AI options through Lemonade integration for those preferring on-device inference. The platform also integrates with OpenClaw, expanding its capabilities for specialized use cases. Deployment is straightforward through Vercel, making it accessible for teams without complex infrastructure requirements.

The project maintains active community engagement through Discord and Feishu channels. Development activity shows ongoing refinement of the multi-agent interaction model and expansion of supported integrations. The codebase demonstrates attention to modern web development practices with current versions of its core dependencies.