AutoGen vs coze-studio
Side-by-side comparison of two AI agent tools
Short answer
- AutoGen is growing faster: +787 GitHub stars in the last 30 days vs +60 for coze-studio.
- Pick AutoGen for: a programming framework for agentic AI. Pick coze-studio for: open-source visual platform for creating, debugging, and deploying AI agents with no-code or low-code tools.
From GitHub data refreshed daily.
AutoGenfree
A programming framework for agentic AI
c
coze-studioopen-source
Open-source visual platform for creating, debugging, and deploying AI agents with no-code or low-code tools
Metrics
| AutoGen | coze-studio | |
|---|---|---|
| Stars | 61.3k | 21.7k |
| Star velocity /mo | 786.8253968253969 | 60 |
| Commits (90d) | 0 | 1 |
| Releases (6m) | 0 | 0 |
| Overall score | 0.3965748260904068 | 0.3454679855210193 |
Pros
- +支持多代理协作，可以创建复杂的 AI 交互系统
- +提供 AutoGen Studio 无代码界面，降低使用门槛
- +强大的模型集成能力，支持多种主流大语言模型和 MCP 服务器
Cons
- -需要 Python 3.10 或更高版本，对环境有一定要求
- -项目处于维护模式，新用户被建议使用 Microsoft Agent Framework
- -从 v0.2 升级需要遵循迁移指南，存在向后兼容性问题
Use Cases
- •构建多代理对话系统，让不同角色的 AI 代理协作解决复杂问题
- •创建自动化工作流程，通过代理协作完成数据分析、内容生成等任务
- •开发具有网络浏览能力的智能助手，结合 MCP 服务器实现外部工具集成
FAQ
- Which is more popular, AutoGen or coze-studio?
- AutoGen has more GitHub stars (61,253 vs 21,664).
- Which is more actively developed, AutoGen or coze-studio?
- coze-studio had more commits in the last 90 days (1 vs 0).
- Should I use AutoGen or coze-studio?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.