ChatDev

# ChatDev 2.0 - DevAll

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  <strong>A Zero-Code Multi-Agent Platform for Developing Everything</strong>
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  【<a href="./README.md">English</a> | <a href="./README-zh.md">简体中文</a>】
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    【📚 <a href="#developers">Developers</a> | 👥 <a href="#primary-contributors">Contributors</a>｜⭐️ <a href="https://github.com/OpenBMB/ChatDev/tree/chatdev1.0">ChatDev 1.0 (Legacy)</a>】
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## 📖 Overview
ChatDev has evolved from a specialized software development multi-agent system into a comprehensive multi-agent orchestration platform.

- <a href="https://github.com/OpenBMB/ChatDev/tree/main">**ChatDev 2.0 (DevAll)**</a> is a **Zero-Code Multi-Agent Platform** for "Developing Everything". It empowers users to rapidly build and execute customized multi-agent systems through simple configuration. No coding is required—users can define agents, workflows, and tasks to orchestrate complex scenarios such as data visualization, 3D generation, and deep research.
- <a href="https://github.com/OpenBMB/ChatDev/tree/chatdev1.0">**ChatDev 1.0 (Legacy)**</a> operates as a **Virtual Software Company**. It utilizes various intelligent agents (e.g., CEO, CTO, Programmer) participating in specialized functional seminars to automate the entire software development life cycle—including designing, coding, testing, and documenting. It serves as the foundational paradigm for communicative agent collaboration.

## 🎉 News
• **Jan 07, 2026: 🚀 We are excited to announce the official release of ChatDev 2.0 (DevAll)!** This version introduces a zero-code multi-agent orchestration platform. The classic ChatDev (v1.x) has been moved to the [`chatdev1.0`](https://github.com/OpenBMB/ChatDev/tree/chatdev1.0) branch for maintenance. More details about ChatDev 2.0 can be found on [our official post](https://x.com/OpenBMB/status/2008916790399701335).

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<summary>Old News</summary>

•Sep 24, 2025: 🎉 Our paper [Multi-Agent Collaboration via Evolving Orchestration](https://arxiv.org/abs/2505.19591) has been accepted to NeurIPS 2025. The implementation is available in the `puppeteer` branch of this repository.

•May 26, 2025: 🎉 We propose a novel puppeteer-style paradigm for multi-agent collaboration among large language model based agents. By leveraging a learnable central orchestrator optimized with reinforcement learning, our method dynamically activates and sequences agents to construct efficient, context-aware reasoning paths. This approach not only improves reasoning quality but also reduces computational costs, enabling scalable and adaptable multi-agent cooperation in complex tasks.
See our paper in [Multi-Agent Collaboration via Evolving Orchestration](https://arxiv.org/abs/2505.19591).
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•June 25, 2024: 🎉To foster development in LLM-powered multi-agent