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Coze
Best for visual development
Low-code/no-code
Open source
Multi-modal AI
Agent orchestration
Build, debug, and deploy AI agents with all-in-one visual development tools.
Last updated: Apr 25, 2026
FREEMIUM
coze.com
Quick Answer
Coze is an open-source AI agent development platform by ByteDance, offering visual, low-code/no-code tools to create, debug, and deploy AI agents and chatbots. It supports multi-modal AI and RAG, simplifying complex workflow orchestration. Best for developers and businesses building custom AI solutions. Freemium pricing available.
About Coze
Coze is an AI agent development platform by ByteDance, offering visual tools to simplify the creation, debugging, and deployment of AI agents. It supports multi-modal AI, RAG, and a low-code/no-code approach for building chatbots and complex workflows. Users can leverage its studio for agent creation and deployment.
What Makes It Unique
Coze provides an all-in-one visual development environment for AI agents, enabling both low-code and no-code creation, debugging, and deployment, which significantly simplifies the agent development lifecycle.
Use Cases & Target Users
Best For
Building custom AI chatbots for customer service
Developing multi-modal AI agents without extensive coding
Orchestrating complex AI workflows visually
Deploying AI agents to various platforms easily
Company Size
SOLO
SMALL
MEDIUM
ENTERPRISE
Fit Score
Complexity
ADVANCED
Target Team Size
INDIVIDUAL
SMALL_TEAM
LARGE_TEAM
Target Skill Level
BEGINNER
INTERMEDIATE
EXPERT
Key Features
Visual agent creation studio
All-in-one agent debugging tools
Simplified agent deployment to various platforms
Support for multi-modal AI agent development
Built-in Retrieval Augmented Generation (RAG) capabilities
Low-code and no-code development options
Technical Specifications
API Available
SDK Available
MCP Compatible
Open Source
Team Features
SSO/Enterprise
Webhook Support
Has Demo
Deployment:
CLOUD
Pros
- +Visual, all-in-one development environment for agents
- +Supports low-code and no-code agent creation
- +Simplifies agent debugging and deployment
- +Includes RAG capabilities for enhanced context
- +Supports multi-modal AI agent development
Limitations
- -May lack deep customization for highly complex, niche requirements
- -Potential vendor lock-in within the Coze ecosystem
- -Performance might be constrained by platform's underlying infrastructure
- -Limited control over low-level agent logic compared to code-first frameworks
Powered By
Base Models
GPT-4Gemini 2.5 ProClaude 3.5 Sonnet
Uses Models
GPT-4Gemini 2.5 ProClaude 3.5 Sonnet
Decision Intelligence
Best For
Building custom AI chatbots for customer service
Developing multi-modal AI agents without extensive coding
Orchestrating complex AI workflows visually
Deploying AI agents to various platforms easily
Not Ideal For
Highly specialized, code-intensive AI research projects
Users requiring full control over underlying infrastructure
Developers who prefer pure code-first frameworks
Applications requiring extreme real-time performance without cloud dependency
Frequently Asked Questions
Your Actions
Dimension Scores
Ease of Use8/10
Output Quality7/10
Value for Money7/10
Customization5/10
Support5/10
Integration1/10
Task Scores
Workflow Building
8
Multi Step Chains
8
Action Library
7
Conditional Logic
7
Autonomous Execution
7
Trigger Variety
6
Api Connectivity
6
Monitoring Logging
6
Trust Score
23/100
Limited Data
Based on 4 data signals
Reflects publicly available data, not an independent audit
Company Strength15/25
Team Size5000+
Company ListedByteDance
Operational Trust8/20
Data Residency
Open Source20.1K stars
Quick Stats
Company & Links