🎯

massgen-log-analyzer

🎯Skill

from massgen/massgen

VibeIndex|
What it does

massgen-log-analyzer skill from massgen/massgen

πŸ“¦

Part of

massgen/massgen(11 items)

massgen-log-analyzer

Installation

pip installInstall Python package
pip install --upgrade massgen
uv runRun with uv
uv run massgen --config @examples/configs/providers/openai/codex/codex_local.yaml "Create a website about Bob Dylan"
uv runRun with uv
uv run massgen --config @examples/configs/providers/openai/codex/codex_docker.yaml "Create a website about Bob Dylan"
pip installInstall Python package
pip install massgen
uv runRun with uv
uv run massgen --setup

+ 13 more commands

πŸ“– Extracted from docs: massgen/massgen
3Installs
-
Last UpdatedJan 28, 2026

Skill Details

SKILL.md

Overview

MassGen Logo

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πŸš€ 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.

MassGen case study -- Berkeley Agentic AI Summit Question

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.

πŸ€– For LLM Agents: AI_USAGE.md - Complete automation guide to run MassGen inside an LLM

πŸ“š For Contributors: See MassGen Contributor Handbook - Centralized policies and resources for development and research teams

---

πŸ“‹ Table of Contents

✨ Key Features

  • [Cross-Model/Agent Synergy](#-key-features-1)
  • [Parallel Processing](#-key-features-1)
  • [Intelligence Sharing](#-key-features-1)
  • [Consensus Building](#-key-features-1)
  • [Live Visualization](#-key-features-1)

πŸ†• Latest Features

  • [v0.1.43 Features](#-latest-features-v0143)

πŸ—οΈ System Design

  • [System Architecture](#%EF%B8%8F-system-design-1)
  • [Parallel Processing](#%EF%B8%8F-system-design-1)
  • [Real-time Collaboration](#%EF%B8%8F-system-design-1)
  • [Convergence Detection](#%EF