--- title: "coze-studio" type: "tool" slug: "coze-dev-coze-studio" canonical_url: "https://www.graphcanon.com/tools/coze-dev-coze-studio" github_url: "https://github.com/coze-dev/coze-studio" homepage_url: null stars: 21124 forks: 3071 primary_language: "TypeScript" license: "Apache-2.0" categories: ["developer-tools", "ai-agents"] tags: ["no-code", "multimodal-ai", "chatbot", "agent"] updated_at: "2026-07-07T18:26:23.892579+00:00" --- # coze-studio > Visual AI Agent Development Platform Coze Studio is a visual development platform aimed at simplifying the creation, debugging, and deployment of AI agents. It supports no-code/low-code approaches, enabling developers to quickly build AI applications with complete templates. ## Facts - Repository: https://github.com/coze-dev/coze-studio - Stars: 21,124 · Forks: 3,071 · Open issues: 523 · Watchers: 123 - Primary language: TypeScript - License: Apache-2.0 - Last pushed: 2026-04-20T09:20:44+00:00 ## Categories - [Developer Tools](/categories/developer-tools.md) - [AI Agents](/categories/ai-agents.md) ## Tags no-code, multimodal-ai, chatbot, agent ## Related tools - [ECC](/tools/affaan-m-ecc.md) - The agent harness performance optimization system (★ 226,962) - [hermes-agent](/tools/nousresearch-hermes-agent.md) - The self-improving AI agent built by Nous Research (★ 210,880) - [AutoGPT](/tools/significant-gravitas-autogpt.md) - AutoGPT: Build, Deploy, and Run AI Agents (★ 185,417) - [ollama](/tools/ollama-ollama.md) - Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. (★ 175,659) - [prompts.chat](/tools/f-prompts-chat.md) - The world's largest open-source prompt library for AI (★ 165,019) - [JavaGuide](/tools/snailclimb-javaguide.md) - Snailclimb/JavaGuide: 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发 (★ 156,863) - [langflow](/tools/langflow-ai-langflow.md) - Langflow is a powerful platform for building and deploying AI-powered agents and workflows. (★ 151,298) - [dify](/tools/langgenius-dify.md) - Production-ready platform for agentic workflow development (★ 148,070) ## README (excerpt) ```text

Coze Studio • Feature list • Quickstart • Developer Guide

License Go Version

English | [中文](README.zh_CN.md)
## What is Coze Studio? [Coze Studio](https://www.coze.cn/home) 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 Agents that makes creating, debugging, and deploying AI Agents unprecedentedly simple. Through Coze Studio's visual design and build tools, developers can quickly create and debug agents, apps, and workflows using no-code or low-code approaches, enabling powerful AI app development and more customized business logic. It's an ideal choice for building low-code AI products tailored . Coze Studio aims to lower the threshold for AI agent development and application, encouraging community co-construction and sharing for deeper exploration and practice in the AI field. The backend of Coze Studio is developed using Golang, the frontend uses React + TypeScript, and the overall architecture is based on microservices and built following domain-driven design (DDD) principles. Provide developers with a high-performance, highly scalable, and easy-to-customize underlying framework to help them address complex business needs. ## Feature list | **Module** | **Feature** | | --- | --- | | Model service | Manage the model list, integrate services such as OpenAI and Volcengine | | Build agent | * Build, publish, and manage agent
* Support configuring workflows, knowledge bases, and other resources | | Build apps | * Create and publish apps
* Build business logic through workflows | | Build a workflow | Create, modify, publish, and delete workflows | | Develop resources | Support creating and managing the following resources:
* Plugins
* Knowledge bases
* Databases
* Prompts | | API and SDK | * Create conversations, initiate chats, and other OpenAPI
* Integrate agents or apps into your own app through Chat SDK | ## Quickstart Learn how to obtain and deploy the open-source version of Coze Studio, quickly build projects, and experience Coze Studio's open-source version. Environment requirements: * Before installing Coze Studio, please ensure that your machine meets the following minimum system requirements: 2 Core、4 GB * Pre-install Docker and Docker Compose, and start the Docker service. Deployment steps: 1. Retrieve the source code. ```Bash # Clone code git clone https://github.com/coze-dev/coze-studio.git ``` 2. Deploy and start the service. When deploying and starting Coze Studio for the first time, it may take a while to retrieve images and build local images. Please be patient. If you see the message "Container coze-server Started," it means the Coze Studio service has started successfully. ```Bash cd coze-studio # start service # for macOS or Linux make web # for windows cp ./docker/.env.example ./docker/.env docker c ``` --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/tools/coze-dev-coze-studio`](/api/graphcanon/tools/coze-dev-coze-studio) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_