[Open-source] Coze Official Open-source One-stop AI Agent Development Tool, Low-cost Plug-and-play

Open SourceOpen Source Systems
2026-06-09 23:33 3 次浏览 • 0 次下载 0KB
[Open-source] Coze Official Open-source One-stop AI Agent Development Tool, Low-cost Plug-and-play

1. Project Overview

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What is Coze Studio

Coze Studio is an all-in-one AI Agent development tool. It provides various latest large models and tools, multiple development modes and frameworks, from development to deployment, providing the most convenient AI Agent development environment.

2. Open Source License

Licensed under Apache-2.0

3. Screenshots

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4. Feature Overview

Coze Studio is an all-in-one AI Agent development tool. It provides various latest large models and tools, multiple development modes and frameworks, from development to deployment, providing the most convenient AI Agent development environment.

  • Provides all core technologies required for AI Agent development
    Prompt, RAG, Plugin, Workflow, making it possible for developers to focus on creating AI core value
  • Plug and play, develop AI Agents with the lowest cost
    Coze Studio provides developers with robust application templates and orchestration frameworks, enabling you to quickly build various AI Agents and turn your creativity into reality.

Coze Studio, originating from the "Button Development Platform" that has served over ten thousand enterprises and hundreds of thousands of developers, we will open its core engine completely. It is a one-stop AI Agent visual development tool that makes the creation, debugging, and deployment of AI Agents simpler than ever before. With the visual design and orchestration tools provided by Coze Studio, developers can quickly build and debug intelligent entities, applications, and workflows through zero-code or low-code methods, achieving powerful AI application development and more customized business logic, making it an ideal choice for building low-code AI products. Coze Studio is committed to reducing the barriers to AI Agent development and application, encouraging community co-building and sharing, and helping you to explore and practice AI in a deeper way.

Coze Studio's backend is developed with Golang, and the frontend uses React + TypeScript. The overall architecture is based on microservices and follows the principles of Domain-Driven Design (DDD). It provides a high-performance, highly extensible, and easy-to-secondary-develop underlying framework to help developers cope with complex business requirements.

Function List

Functional Modules

Function Point

Model Service

Manage model list, support online or offline model services such as OpenAI, Vulcan Odyssey, etc.

Build Intelligent Entities

* Arrangement, release, and management of intelligent entities
* Supports configuration of workflow, knowledge base, etc. resources

Build Applications

* Create and release applications
* Build business logic through workflow

Build Workflows

Create, modify, publish, delete workflow

Develop resources

Support creating and managing the following resources:
* Plugins
* Knowledge base
* Database
* Prompt words

API and SDK

* Create sessions, initiate dialogues, etc. OpenAPI
* Integrate intelligent entities or applications into your own applications using Chat SDK

5. Tech Stack

Quick Start

Learn how to obtain and deploy Coze Studio open-source version, quickly build projects, and experience Coze Studio open-source version.

Detailed steps and deployment requirements can be referred to quick start.

Environment requirements:

  • Before installing Coze Studio, please ensure that your machine meets the following minimum system requirements: 2 Core, 4 GB
  • Install Docker, Docker Compose in advance, and start the Docker service.

Acknowledgments

Thank all developers and community members who have contributed to the Coze Studio project. Special thanks to:

  • Eino Framework Team - Provided strong support for Coze Studio's intelligent entities and workflow runtime, model abstraction encapsulation, knowledge base index construction, and retrieval
  • FlowGram Team - Provided a high-quality workflow canvas editor page for Coze Studio
  • Hertz Team - High-performance, highly extensible Go HTTP framework for building microservices
  • All users who participated in testing and feedback
#1
资源直链https://github.com/coze-dev/coze-studio
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