The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
MassGen
MassGen is an open-source multi-agent scaling system that runs in your terminal, autonomously orchestrating frontier models and agents to collaborate, reason, and produce…
Install
$
npx skills add massgen/skillsClaude Code
claude mcp add massgen -- npx skills add massgen/skillsCursor / Claude Desktop (mcp.json)
{
"mcpServers": {
"massgen": {
"command": "npx",
"args": [
"skills",
"add",
"massgen/skills"
]
}
}
}Install command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →🚀 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 (4x speed)
MassGen is a cutting-edge multi-agent framework that coordinates AI agents to solve complex tasks through redundancy and iterative refinement. Every agent tackles the full problem, observing, critiquing, and building on each other's work across cycles of refinement and restarts. When agents believe there is a strong enough answer, they vote, and the best collectively validated answer wins. This approach to parallel refinement and collective validation lays the groundwork for principled multi-agent scaling, where the system continuously improves its outputs by leveraging diverse agent perspectives and enforcing quality through consensus.
This project started with the "threads of thought" and "iterative refinement" ideas presented in The Myth of Reasoning, and extends the classic "multi-agent conversation" idea in AG2. Here is a video recording of the background context introduction presented at the Berkeley Agentic AI Summit 2025.
🧩 Use MassGen as a Skill: npx skills add massgen/skills --all — then type invoke the skill in Claude Code, Cursor, Copilot, or 40+ other agents. Learn more →
📚 For Contributors: See MassGen Contributor Handbook - Centralized policies and resources for development and research teams
📋 Table of Contents
✨ Key Features
- Cross-Model/Agent Synergy
- Parallel Processing
- Intelligence Sharing
- Consensus Building
- Live Visualization
🆕 Latest Features
🏗️ System Design
- System Architecture
- Parallel Processing
- Real-time Collaboration
- Convergence Detection
- Adaptive Coordination
🚀 Quick Start
🤖 Automation & LLM Integration
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