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A Zero-Code Multi-Agent Platform for Developing Everything, enabling rapid construction and execution of customized multi-agent systems.

ChatDev 2.0 (DevAll) is a zero-code multi-agent platform designed to orchestrate complex tasks without requiring traditional coding. It allows users to define agents, workflows, and tasks through simple configuration, automating processes like software development, data visualization, and research. Built upon the legacy of ChatDev 1.0, which simulated a virtual software company with specialized agents (CEO, CTO, Programmer), version 2.0 extends these capabilities into a more general-purpose orchestration engine. Key features include customizable agent roles, workflow definition, and task automation, all powered by large language models. The system supports integration with version control (Git) and offers modes for human-agent interaction, making it suitable for incremental development and diverse organizational structures beyond software development, such as logical reasoning and data analysis. ChatDev aims to lower the barrier to entry for multi-agent system creation, enabling users to rapidly prototype and deploy AI-driven solutions.
ChatDev 2.
Explore all tools that specialize in visualize data. This domain focus ensures ChatDev 2.0 (DevAll) delivers optimized results for this specific requirement.
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Explore all tools that specialize in data visualization. This domain focus ensures ChatDev 2.0 (DevAll) delivers optimized results for this specific requirement.
Users can define agents, workflows, and tasks through simple configuration files (YAML) without writing any code. This is achieved through parsing the configuration and dynamically orchestrating LLM-powered agents.
Leverages large language models to enable communication and collaboration among multiple agents, facilitating complex problem-solving.
Allows programmers to utilize Git for version control, enabling collaborative development and code management.
Enables human reviewers to interact with the system, providing suggestions and feedback to the programmer agent.
Instructor and assistant agents accumulate shortcut-oriented experiences to effectively solve new tasks, reducing repetitive errors.
Allows agents to develop upon existing codebases, enabling continuous improvement and extension of functionality.
Clone the ChatDev repository from GitHub.
Configure the environment by modifying YAML files to define agents, workflows, and tasks.
Install necessary dependencies using `pip install -r requirements.txt`.
Use command-line arguments to specify the task description and configuration file: `python3 run.py --task [description_of_your_idea] --config [configuration_file]`.
Monitor the execution and review the output generated by the multi-agent system.
Utilize Docker for safe execution by following the Docker Start Guide.
Experiment with different configuration settings and agent roles to optimize performance.
All Set
Ready to go
Verified feedback from other users.
"Users praise ChatDev for its ability to automate complex tasks and reduce development time, though some find the initial configuration challenging."
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