by coze-dev · Agent Tool · ★ 20.6k
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Coze Studio • Feature list • Quickstart • Developer Guide English | 中文 What is Coze Studio? Coze Studio is an all-in-one AI agent development tool. Providing the latest large models and tools, various development modes and frameworks, Coze Studio offers the most convenient AI agent development environment, from development to deployment. Provides all core technologies needed for AI agent development: prompt, RAG, plugin, workflow, enabling developers to focus on creating the core value of AI. Ready to use for professional AI agent development at the lowest cost: Coze Studio provides developers with complete app templates and build frameworks, allowing you to quickly construct various AI agents and turn creative ideas into reality. Coze Studio, derived from the "Coze Development Platform" which has served tens of thousands of enterprises and millions of developers, we have made its core engine completely open. It is a one-stop visual development tool for AI Age
| Stars | 20,578 |
| Forks | 2,982 |
| Language | TypeScript |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 49.216/100 |
| Open Issues | 495 |
| Last Updated | 2026-04-20 |
| Created | 2025-06-26 |
| Platforms | node |
| Est. Tokens | ~5104k |
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coze-studio is An AI agent development platform with all-in-one visual tools, simplifying agent creation, debugging, and deployment like never before. Coze your way to AI Agent creation.. It is categorized as a Agent Tool with 20.6k GitHub stars.
coze-studio is primarily written in TypeScript. It covers topics such as agent, agent-platform, ai-plugins.
You can find installation instructions and usage details in the coze-studio GitHub repository at github.com/coze-dev/coze-studio. The project has 20.6k stars and 2982 forks, indicating an active community.
coze-studio is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to coze-studio on Agent Skills Hub include sim, FastGPT, repomix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.