* **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 an interactive e-book📚 format. Explore the latest advancements and download the paper list here: https://thinkwee.top/multiagent_ebook**
* June 12, 2024: We introduce Multi-Agent Collaboration Networks (MacNet) 🎉, which utilize directed acyclic graphs to facilitate effective task-oriented collaboration among agents through linguistic interactions 🤖🤖. MacNet supports cooperation across various topologies and among more than a thousand agents without exceeding context limits. More versatile and scalable, MacNet can be considered a more advanced version of ChatDev's chain-shaped topology. Our preprint paper is available at [https://arxiv.org/abs/2406.07155](https://arxiv.org/abs/2406.07155). This technique will soon be incorporated into this repository, 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. 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](wiki.md#co-tracking).
* 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.
* November 15, 2023: We launched ChatDev as a SaaS platform that enables software developers and innovative entrepreneurs to build software efficiently at a very low cost and barrier to entry. Try it out at https://chatdev.modelbest.cn/.
* November 2, 2023: ChatDev is now supported with a new feature: incremental development, which allows agents to develop upon existing codes. Try `--config "incremental" --path "[source_code_directory_path]"` to start it.
* October 26, 2023: ChatDev is now supported with Docker for safe execution (thanks to contribution from [ManindraDeMel](https://github.com/ManindraDeMel)). Please see [Docker Start Guide](wiki.md#docker-start).
* September 25, 2023: The **Git** mode is now available, enabling the programmer <imgsrc='visualizer/static/figures/programmer.png'height=20> to utilize Git for version control. To enable this feature, simply set ``"git_management"`` to ``"True"`` in ``ChatChainConfig.json``. See [guide](wiki.md#git-mode).
- September 20, 2023: The **Human-Agent-Interaction** mode is now available! You can get involved with the ChatDev team by playing the role of reviewer <imgsrc='visualizer/static/figures/reviewer.png'height=20> and making suggestions to the programmer <imgsrc='visualizer/static/figures/programmer.png'height=20>;
- September 1, 2023: The **Art** mode is available now! You can activate the designer agent <imgsrc='visualizer/static/figures/designer.png'height=20> to generate images used in the software;
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},
- Source Code Licensing: Our project's source code is licensed under the Apache 2.0 License. This license permits the use, modification, and distribution of the code, subject to certain conditions outlined in the Apache 2.0 License.
- Data Licensing: The related data utilized in our project is licensed under CC BY-NC 4.0. This license explicitly permits non-commercial use of the data. We would like to emphasize that any models trained using these datasets should strictly adhere to the non-commercial usage restriction and should be employed exclusively for research purposes.
If you have any questions, feedback, or would like to get in touch, please feel free to reach out to us via email at [qianc62@gmail.com](mailto:qianc62@gmail.com)