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A Zero-Code Multi-Agent Platform for Developing Everything

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【📚Developers | 👥Contributors｜⭐️ChatDev 1.0 (Legacy)】

ChatDev has evolved from a specialized software development multi-agent system into a comprehensive multi-agent orchestration platform.

• ChatDev 2.0 (DevAll) is aZero-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 aVirtual 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.

•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 thechatdev1.0 branch for maintenance. More details about ChatDev 2.0 can be found onour official post.

• OS: macOS / Linux / WSL / Windows
• Python: 3.12+
• Node.js: 18+
• Package Manager:uv

1. Backend Dependencies (Python managed byuv):

   uv sync

2. Frontend Dependencies (Vite + Vue 3):

   cd frontend&& npm install

1. Start Backend :

   # Run from the project rootuv run python server_main.py --port 6400 --reload

2. Start Frontend:

   cd frontendVITE_API_BASE_URL=http://localhost:6400 npm run dev

   Then access the Web Console athttp://localhost:5173.

• Environment Variables: Create a.env file in the project root.
• Model Keys: SetAPI_KEY andBASE_URL in.env for your LLM provider.
• YAML placeholders: Use${VAR}（e.g.,${API_KEY}）in configuration files to reference these variables.

The DevAll interface provides a seamless experience for both construction and execution

• Tutorial: Comprehensive step-by-step guides and documentation integrated directly into the platform to help you get started quickly.

• Workflow: A visual canvas to design your multi-agent systems. Configure node parameters, define context flows, and orchestrate complex agent interactions with drag-and-drop ease.

• Launch: Initiate workflows, monitor real-time logs, inspect intermediate artifacts, and provide human-in-the-loop feedback.

For automation and batch processing, use our lightweight Python SDK to execute workflows programmatically and retrieve results directly.

fromruntime.sdkimportrun_workflow# Execute a workflow and get the final node messageresult=run_workflow(yaml_file="yaml_instance/demo.yaml",task_prompt="Summarize the attached document in one sentence.",attachments=["/path/to/document.pdf"],variables={"API_KEY":"sk-xxxx"}# Override .env variables if needed)ifresult.final_message:print(f"Output:{result.final_message.text_content()}")

For secondary development and extensions, please proceed with this section.

Extend DevAll with new nodes, providers, and tools.The project is organized into a modular structure:

• Core Systems:server/ hosts the FastAPI backend, whileruntime/ manages agent abstraction and tool execution.
• Orchestration:workflow/ handles the multi-agent logic, driven by configurations inentity/.
• Frontend:frontend/ contains the Vue 3 Web Console.
• Extensibility:functions/ is the place for custom Python tools.

Relevant reference documentation:

• Getting Started:Start Guide
• Core Modules:Workflow Authoring,Memory, andTooling

We provide robust, out-of-the-box templates for common scenarios. All runnable workflow configs are located inyaml_instance/.

• Demos: Files nameddemo_*.yaml showcase specific features or modules.
• Implementations: Files named directly (e.g.,ChatDev_v1.yaml) are full in-house or recreated workflows. As follows:

Category	Workflow	Case
📈 Data Visualization	data_visualization_basic.yaml data_visualization_enhanced.yaml	Prompt:"Create 4–6 high-quality PNG charts for my large real-estate transactions dataset."
🛠️ 3D Generation (RequiresBlender &blender-mcp)	blender_3d_builder_simple.yaml blender_3d_builder_hub.yaml blender_scientific_illustration.yaml	Prompt:"Please build a Christmas tree."
🎮 Game Dev	GameDev_v1.yaml ChatDev_v1.yaml	Prompt:"Please help me design and develop a Tank Battle game."
📚 Deep Research	deep_research_v1.yaml	Prompt:"Research about recent advances in the field of LLM-based agent RL"
🎓 Teach Video	teach_video.yaml (Please run commanduv add manim before running this workflow)	Prompt:"讲一下什么是凸优化"

For those implementations, you can use theLaunch tab to execute them.

1. Select: Choose a workflow in theLaunch tab.
2. Upload: Upload necessary files (e.g.,.csv for data analysis) if required.
3. Prompt: Enter your request (e.g.,"Visualize the sales trends" or"Design a snake game").

We welcome contributions from the community! Whether you're fixing bugs, adding new workflow templates, or sharing high-quality cases/artifacts produced by DevAll, your help is much appreciated. Feel free to contribute by submittingIssues orPull Requests.

By contributing to DevAll, you'll be recognized in ourContributors list below. Check out ourDeveloper Guide to get started!

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huatl98

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kilo2127

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@article{chatdev,    title = {ChatDev: Communicative Agents for Software Development},    author = {Chen Qian and Wei Liu and Hongzhang Liu and Nuo Chen and Yufan Dang and Jiahao Li and Cheng Yang and Weize Chen and Yusheng Su and Xin Cong and Juyuan Xu and Dahai Li and Zhiyuan Liu and Maosong Sun},    journal = {arXiv preprint arXiv:2307.07924},    url = {https://arxiv.org/abs/2307.07924},    year = {2023}}@article{colearning,    title = {Experiential Co-Learning of Software-Developing Agents},    author = {Chen Qian and Yufan Dang and Jiahao Li and Wei Liu and Zihao Xie and Yifei Wang and Weize Chen and Cheng Yang and Xin Cong and Xiaoyin Che and Zhiyuan Liu and Maosong Sun},    journal = {arXiv preprint arXiv:2312.17025},    url = {https://arxiv.org/abs/2312.17025},    year = {2023}}@article{macnet,    title={Scaling Large-Language-Model-based Multi-Agent Collaboration},    author={Chen Qian and Zihao Xie and Yifei Wang and Wei Liu and Yufan Dang and Zhuoyun Du and Weize Chen and Cheng Yang and Zhiyuan Liu and Maosong Sun}    journal={arXiv preprint arXiv:2406.07155},    url = {https://arxiv.org/abs/2406.07155},    year={2024}}@article{iagents,    title={Autonomous Agents for Collaborative Task under Information Asymmetry},    author={Wei Liu and Chenxi Wang and Yifei Wang and Zihao Xie and Rennai Qiu and Yufan Dnag and Zhuoyun Du and Weize Chen and Cheng Yang and Chen Qian},    journal={arXiv preprint arXiv:2406.14928},    url = {https://arxiv.org/abs/2406.14928},    year={2024}}@article{puppeteer,      title={Multi-Agent Collaboration via Evolving Orchestration},       author={Yufan Dang and Chen Qian and Xueheng Luo and Jingru Fan and Zihao Xie and Ruijie Shi and Weize Chen and Cheng Yang and Xiaoyin Che and Ye Tian and Xuantang Xiong and Lei Han and Zhiyuan Liu and Maosong Sun},      journal={arXiv preprint arXiv:2505.19591},      url={https://arxiv.org/abs/2505.19591},      year={2025}}

If you have any questions, feedback, or would like to get in touch, please feel free to reach out to us via email atqianc62@gmail.com