Coze Studio
Coze Studio is an open-source, all-in-one AI agent development tool that provides a visual, low-code environment for building, debugging, and deploying AI agents and applications. It solves the complexity of AI development by offering core technologies like prompt engineering, RAG, plugins, and workflows, making it ideal for developers seeking to create custom AI solutions efficiently.
✨ Key features
- Visual drag-and-drop workflow builder
- Supports multiple large models (OpenAI, Volcengine)
- Built-in plugin, knowledge base, and database management
- No-code/low-code agent and app creation
- OpenAPI and Chat SDK for integration
- Microservices architecture with DDD principles
🎯 Use cases
- Build custom AI assistants for customer service
- Create workflow-based business logic automation
- Develop knowledge-base-powered Q&A agents
- Integrate AI agents into existing applications via SDK
- Prototype and deploy AI apps with minimal coding
📦 Installation
🧰 Requirements: Requires Docker and Docker Compose; minimum 2 CPU cores and 4 GB RAM; model service configuration needed before use.
git clone https://github.com/coze-dev/coze-studio.gitcd coze-studiomake webcp ./docker/.env.example ./docker/.env
docker compose -f ./docker/docker-compose.yml up🚀 Usage
After deployment, register an account at http://localhost:8888/sign, configure a model at http://localhost:8888/admin/#model-management, then access Coze Studio at http://localhost:8888/.
⚠️ Good to know
Public network deployment has security risks including account registration, Python execution in workflow nodes, and SSRF; some features like tone customization are limited to the commercial version.
❓ FAQ
What are the system requirements for running Coze Studio?
You need at least 2 CPU cores and 4 GB RAM, with Docker and Docker Compose pre-installed.
How do I configure a model after installation?
Go to http://localhost:8888/admin/#model-management and add a new model; the image version must be >= 0.5.0.
Can I use Coze Studio in a public network?
Yes, but it is recommended to assess security risks first, as there are potential vulnerabilities like SSRF and horizontal privilege escalation.
What is the difference between the open-source and commercial versions?
Some features, such as tone customization, are only available in the commercial version; the open-source version is based on the core engine.
📊 Repository
🤖 Overview, features, install steps and FAQ were generated from the project's README on Sep 4, 2026. Always check the original source before running commands.