ChatDev 2.0: Build Multi-Agent Workflows Without Writing Code
ChatDev 2.0 (DevAll) is a zero-code multi-agent platform for building and orchestrating AI agent workflows visually. No coding required — design agents, connect them, and automate complex tasks.
What Is ChatDev?
ChatDev started as a virtual software company where multiple AI agents (CEO, CTO, Programmer) collaborated to build software. Today, ChatDev 2.0 (DevAll) has evolved into a comprehensive zero-code multi-agent orchestration platform that lets anyone build custom multi-agent systems through simple visual configuration — no programming required.
Developed by Tsinghua University’s OpenBMB lab with over 33,000 GitHub stars, ChatDev 2.0 reimagines how we work with AI agents. Instead of writing code, you define agents, design workflows, and connect them visually to orchestrate complex scenarios like data visualization, 3D generation, deep research, and automated software development.
Key Features
Zero-Code Agent Builder
Create and configure AI agents with no coding. Each agent gets a role, goals, tools, and memory settings — all through an intuitive visual interface. Agents can be equipped with Python functions, MCP servers, or REST APIs as tools.
Visual Workflow Designer
Design complex multi-agent workflows with a drag-and-drop graph editor. Connect agents with conditional edges, transform outputs, manage execution order, and build branching logic — just like drawing a flowchart.
Memory Management
Choose from multiple memory strategies: global embeddings, simple key-value, graph-based, or node-scoped memory. Each agent can retain context across sessions for truly continuous conversations.
Dynamic Orchestration
Support for conditional branching, loop counters, dynamic maps, and tree structures allows building sophisticated agent interactions. Workflows can adapt to agent outputs in real-time.
Use Cases
- Data Visualization — Deploy specialized agents to gather, analyze, and visualize data automatically
- Deep Research — Create research teams with agents that search, summarize, and cross-reference
- 3D Generation — Orchestrate multiple models to generate 3D assets from text descriptions
- Software Development — The classic use case: agents that design, code, test, and document software
Why Self-Host ChatDev?
Self-hosting gives you full control over your agent workflows, data privacy, and the ability to connect to any LLM backend — local or cloud. With Docker Compose, deploying ChatDev takes minutes.
Conclusion
ChatDev 2.0 bridges the gap between powerful multi-agent AI and accessibility. Its zero-code approach makes advanced agent orchestration available to everyone, while still offering depth for power users. Whether you are building automated workflows, exploring multi-agent collaboration, or deploying production agent systems, ChatDev provides a flexible and powerful platform.