Coze Studio

Open-Source AI Agent Development Platform by ByteDance

Build, debug, and deploy AI agents with visual workflow editor, plugins, and enterprise-grade architecture. The all-in-one platform that makes AI agent development as easy as Lego bricks.

11,000+
GitHub Stars
1,400+
Community Forks
Apache 2.0
Open Source License

What is Coze Studio?

Coze Studio is an all-in-one AI agent development platform that's open-sourced by ByteDance, providing everything needed from development to deployment of AI agents.

Enterprise-Proven Platform

Coze Studio originates from ByteDance's internal "Coze" development platform that has served tens of thousands of enterprises and millions of developers. This isn't an experimental toy – it's a battle-tested, enterprise-grade tool made freely available.

Modern Architecture

The backend is written in Go (Golang) for high performance and concurrency, while the frontend is built with React + TypeScript for a smooth, modern UI. The system follows Domain-Driven Design (DDD) principles, making it highly scalable and maintainable.

Visual Development

Coze Studio combines visual no-code tools with a powerful underlying architecture to simplify AI development like never before. Build complex AI behaviors without heavy coding – just connect the blocks in the order you need.

Visual Workflow Editor
Plugin System
Knowledge Base Integration
Multi-Model Support
One-Click Deployment

Key Features of Coze Studio

Comprehensive suite of features covering all aspects of AI agent creation, from visual workflow design to enterprise deployment.

Visual Workflow Editor

Design agent logic by dragging and dropping node-based components. Each node represents a functional block, making complex AI behaviors easy to build without heavy coding.

Extensible Plugin System

Integrate any third-party API or service as a plugin. Write custom plugins following provided guidelines to extend agent capabilities beyond the base LLM.

Knowledge Base Integration

Built-in RAG capability with vector indexing and retrieval. Upload documents and attach them to agents for factual, context-rich answers.

Multi-Model Support

Model-agnostic platform supporting OpenAI, Claude, local LLMs, and custom endpoints. Switch models with minimal friction for optimal performance.

One-Click Deployment

Build full applications around your agents and publish them directly. Get a live chatbot application with a web-accessible URL in one click.

Developer-Friendly APIs

REST OpenAPI and JavaScript Chat SDK for seamless integration into existing applications, mobile apps, and enterprise workflows.

Why Choose Coze Studio?

Truly Open Source

Released under permissive Apache 2.0 license. Use freely in commercial projects, modify, self-host, and keep modifications private.

Enterprise-Proven

Battle-tested at ByteDance scale. Go microservices architecture optimized for production workloads and high concurrency.

End-to-End Solution

Complete ecosystem covering development, testing, deployment, and monitoring. No need to stitch together different systems.

Architecture Highlights

Backend Language Go (Golang)
Frontend Stack React + TypeScript
Architecture Pattern Domain-Driven Design
Deployment Docker + Microservices
License Apache 2.0

How to Use Coze Studio

Get started with Coze Studio in minutes. Simple setup process with Docker, intuitive interface, and developer-friendly experience.

1

Quick Setup

Clone the repository, copy the .env file, and run docker compose. Minimum 2 CPU cores and 4GB RAM required.

2

Connect Models

Configure your preferred LLM by editing YAML templates. Support for OpenAI, Claude, local models, and custom endpoints.

3

Build & Deploy

Use the visual workflow editor to create agents, test with built-in tools, and deploy with one-click publishing.

Developer Experience Highlights

Setup in under 30 minutes
Self-contained Docker environment
Drag-and-drop workflow editor
Real-time testing and debugging
Built-in templates and examples
Full access to source code
Comprehensive documentation
Active community support

Quick Start Commands

# Clone and setup
git clone https://github.com/coze-dev/coze-studio.git
cd coze-studio
cp .env.example .env
# Start all services
docker compose --profile '*' up -d
# Access at http://localhost:3000

Real-World Use Cases for Coze Studio

From simple chatbots to complex multi-step agents, discover how developers are building powerful AI solutions with Coze Studio.

Intelligent Customer Support

Build chatbots that handle user queries by leveraging your company's documentation. Upload product manuals or FAQ documents as a knowledge base, and create agents that provide accurate, contextual responses.

Knowledge Base + LLM Integration
24/7 Automated Support
Multi-language Support

Workflow Automation

Create agents that perform actions via plugins. Build weather bots, data processing agents, or task automation systems that integrate with external APIs and services.

Plugin + Workflow Orchestration
External API Integration
Conditional Logic Processing

Embedded AI Chatbots

Integrate AI assistants into existing applications using the Chat SDK. Create custom chatbots for websites, mobile apps, or enterprise systems with minimal code.

JavaScript Chat SDK
Cross-Platform Deployment
Custom UI Integration

Enterprise AI Agents

Build agents for internal tools and data processing. Create IT helpdesk agents, approval bots, or automated task systems that integrate with databases and services.

Multi-step Business Logic
Database Integration
Security & Compliance

Success Stories & Performance

30min
Average Setup Time

From zero to running agent

1M+
Developers Served

On ByteDance's platform

99.9%
Uptime

Enterprise-grade reliability

Join the Coze Studio Community

Connect with developers worldwide, contribute to the project, and help shape the future of AI agent development.

Active Development

Over 100+ GitHub issues and numerous pull requests in the first days. ByteDance maintainers actively engage with community feedback.

Multiple Channels

Discord server, Telegram group, and Feishu (Lark) for Chinese speakers. Get help, share ideas, and collaborate with other developers.

Open Contribution

Welcoming contributions from bug reports to feature requests. Help build the future of AI agent development platforms.

Community Growth

GitHub Stars 15,000+
Community Members 2,000+
GitHub Forks 1,400+

Bug Reports

Help identify and fix issues to improve platform stability

Feature Ideas

Suggest new features and improvements for the platform

Plugin Development

Create and share plugins to extend Coze Studio capabilities

Documentation

Help improve guides, tutorials, and API documentation

Coze Studio Roadmap

Explosive growth with 11,000+ GitHub stars in days. Active development with community-driven evolution and continuous improvements.

Current Activity

11,000+ GitHub stars and growing
100+ issues and PRs in first days
Active ByteDance maintainer engagement
Community-driven feature requests

Ecosystem Growth

Coze Studio is part of a complete AI development ecosystem, including Coze Loop for evaluation and Eino for orchestration. This integrated approach ensures comprehensive agent lifecycle management.

Coze Studio Coze Loop Eino Framework

Project Timeline

Completed Features 65%
In Development 20%
Planned Features 15%

Near Term

  • Stability improvements
  • Bug fixes and optimizations
  • Enhanced documentation
  • More plugin templates

Medium Term

  • Advanced integrations
  • Plugin marketplace
  • Performance optimizations
  • Multi-language support

Long Term

  • AI agent standards
  • Enterprise features
  • Cloud deployment options
  • Industry partnerships

Frequently Asked Questions about Coze Studio

Everything you need to know about getting started with Coze Studio AI agent development.

What is Coze Studio and how does it differ from other AI platforms?

Coze Studio is an open-source AI agent development platform by ByteDance that provides a complete end-to-end solution. Unlike other platforms, it combines visual workflow design, enterprise-grade architecture, and battle-tested scalability in one comprehensive package.

How quickly can I get Coze Studio running?

Coze Studio can be set up in under 30 minutes. With Docker installed, simply clone the repository, copy the environment file, and run docker compose. The platform includes everything needed for development in a self-contained environment.

What programming skills do I need for Coze Studio?

Coze Studio is designed for both no-code users and developers. You can build basic agents using the visual workflow editor without coding, while developers can extend functionality through custom plugins and access to the full source code.

Which AI models does Coze Studio support?

Coze Studio is model-agnostic and supports OpenAI GPT models, Claude, ByteDance's Volcengine Ark, local LLMs, and any OpenAI-compatible endpoint. You can easily switch between models through configuration files.

Is Coze Studio suitable for enterprise use?

Yes, Coze Studio is enterprise-ready with Go microservices architecture, domain-driven design, and proven scalability at ByteDance scale. It supports self-hosting, custom plugins, and integration with enterprise systems.

How do I integrate Coze Studio agents into my application?

Use the REST OpenAPI or JavaScript Chat SDK to integrate agents into your applications. The platform provides simple APIs for creating conversations, sending inputs, and receiving responses from your deployed agents.

What kind of plugins can I create for Coze Studio?

You can create plugins for any external API or service - database lookups, web searches, ML models, IoT devices, or business systems. The open plugin interface provides guidelines and examples for custom plugin development.

How does knowledge base integration work in Coze Studio?

Upload documents (PDFs, Word, etc.) through the UI, and Coze Studio automatically processes them with vector indexing. Your agents can then retrieve relevant information using built-in RAG capabilities for factual, context-rich responses.

What licensing terms apply to Coze Studio?

Coze Studio is released under the permissive Apache 2.0 license, allowing free commercial use, modification, self-hosting, and private modifications without additional restrictions or fees.

How can I contribute to the Coze Studio project?

Join the community through GitHub issues, Discord, or Telegram. Contribute through bug reports, feature requests, plugin development, documentation improvements, or code contributions. The maintainers actively welcome community involvement.