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A Zero-Code Multi-Agent Platform for Developing Everything
【 English | 简体中文 】
【📚 Developers | 👥 Contributors ｜⭐️ ChatDev 1.0 (Legacy) 】
📖 Overview
ChatDev has evolved from a specialized software development multi-agent system into a comprehensive multi-agent orchestration platform.
- **ChatDev 2.0 (DevAll)** 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.
- **ChatDev 1.0 (Legacy)** 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 branch for maintenance. More details about ChatDev 2.0 can be found on our official post.
Old News
•Sep 24, 2025: 🎉 Our paper Multi-Agent Collaboration via Evolving Orchestration 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.
•June 25, 2024: 🎉To foster development in LLM-powered multi-agent collaboration🤖🤖 and related fields, the ChatDev team has curated a collection of seminal papers📄 presented in a open-source interactive e-book📚 format. Now you can explore the latest advancements on the Ebook Website and download the paper list.
•June 12, 2024: We introduced Multi-Agent Collaboration Networks (MacNet) 🎉, which utilize directed acyclic graphs to facilitate effective task-oriented collaboration among agents through linguistic interactions 🤖🤖. MacNet supports co-operation across various topologies and among more than a thousand agents without exceeding context limits. More versatile and scalable, MacNet can be considered as a more advanced version of ChatDev's chain-shaped topology. Our preprint paper is available at https://arxiv.org/abs/2406.07155. This technique has been incorporated into the macnet branch, enhancing support for diverse organizational structures and offering richer solutions beyond software development (e.g., logical reasoning, data analysis, story generation, and more).
• May 07, 2024, we introduced "Iterative Experience Refinement" (IER), a novel method where instructor and assistant agents enhance shortcut-oriented experiences to efficiently adapt to new tasks. This approach encompasses experience acquisition, utilization, propagation and elimination across a series of tasks and making the pricess shorter and efficient. Our preprint paper is available at https://arxiv.org/abs/2405.04219, and this technique will soon be incorporated into ChatDev.
• January 25, 2024: We have integrated Experiential Co-Learning Module into ChatDev. Please see the Experiential Co-Learning Guide.
• December 28, 2023: We present Experiential Co-Learning, an innovative approach where instructor and assistant agents accumulate shortcut-oriented experiences to effectively solve new tasks, reducing repetitive errors and enhancing efficiency. Check out our preprint paper at https://arxiv.org/abs/2312.17025 and this technique will soon be integrated into ChatDev.