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π MassGen: Multi-Agent Scaling System for GenAI
MassGen is a cutting-edge multi-agent system that leverages the power of collaborative AI to solve complex tasks.
Scaling AI with collaborative, continuously improving agents
MassGen is a cutting-edge multi-agent system that leverages the power of collaborative AI to solve complex tasks. It assigns a task to multiple AI agents who work in parallel, observe each other's progress, and refine their approaches to converge on the best solution to deliver a comprehensive and high-quality result. The power of this "parallel study group" approach is exemplified by advanced systems like xAI's Grok Heavy and Google DeepMind's Gemini Deep Think.
This project started with the "threads of thought" and "iterative refinement" ideas presented in [The Myth of Reasoning](https://docs.ag2.ai/latest/docs/blog/2025/04/16/Reasoning/), and extends the classic "multi-agent conversation" idea in [AG2](https://github.com/ag2ai/ag2). Here is a [video recording](https://www.youtube.com/watch?v=xM2Uguw1UsQ) of the background context introduction presented at the Berkeley Agentic AI Summit 2025.
π€ For LLM Agents:AI_USAGE.md - Complete automation guide to run MassGen inside an LLM
π For Contributors: See MassGen Contributor Handbook - Centralized policies and resources for development and research teams