explaingit

coze-dev/coze-studio

★ 20,700TypeScriptAudience · developerComplexity · 4/5MaintainedLicenseSetup · hard

TLDR

Open-source visual platform for building, debugging, and deploying AI agents and workflows without coding. Includes no-code tools, knowledge bases, plugins, and integrations.

Mindmap

mindmap
  root((repo))
    What it does
      Build AI agents
      Create workflows
      Deploy apps
      Debug visually
    Key features
      Knowledge bases
      Plugin system
      Chat SDK
      OpenAPI integration
    Tech stack
      Golang backend
      React frontend
      Docker deployment
    Use cases
      Enterprise automation
      Custom chatbots
      Business logic apps
    Getting started
      Docker required
      Configure models
      localhost:8888

Things people build with this

USE CASE 1

Build a customer support chatbot with knowledge bases and integrate it into your website using the Chat SDK.

USE CASE 2

Create an internal workflow automation tool that connects to your databases and external APIs without writing backend code.

USE CASE 3

Deploy a multi-step AI agent that uses plugins to fetch data, process it, and trigger actions in your business systems.

USE CASE 4

Develop and test AI agent logic visually before publishing to production or sharing with enterprise customers.

Tech stack

TypeScriptReactGolangDockerOpenAIVolcengine

Getting it running

Difficulty · hard Time to first run · 1day+

Multiple services (frontend, backend, Docker), external API keys (OpenAI, Volcengine), and likely database/infrastructure setup required.

Use freely for any purpose including commercial. Keep the notice and disclose changes to the patent grant.

In plain English

Coze Studio is an open source platform for building AI agents, programs that combine a large language model with tools, data, and instructions to carry out tasks on a user's behalf. It is the open sourced core of the commercial Coze Development Platform, which the team says has served tens of thousands of enterprises and millions of developers. The pitch is visual development. Instead of writing code from scratch, you use a no-code or low-code interface to design an agent, hook it up to the resources it needs (a chosen language model, a knowledge base, plugins, a database, a prompt template, a workflow), test and debug it, then publish it as a chat experience or expose it through APIs and a Chat SDK. The Feature List covers the major building blocks: model management (with built-in support for services such as OpenAI and Volcengine), an agent builder, an app builder, a workflow editor, a resource manager for plugins, knowledge bases, databases and prompts, and an OpenAPI plus Chat SDK for embedding agents. To run it yourself, the README walks through cloning the repo and starting it via Docker Compose; once up, you reach the web UI at localhost port 8888. The recommended minimum is 2 CPU cores and 4 GB of RAM. The README also flags security considerations for public deployments, account registration, the Python execution environment in workflow code nodes, SSRF, and privilege escalation paths are called out. The backend is in Go (1.23.4 or later), the frontend in React with TypeScript, and the system is built as microservices following domain-driven design principles. Released under the Apache 2.0 license. The full README is longer than what was provided.

Copy-paste prompts

Prompt 1
How do I set up Coze Studio locally with Docker and configure my first OpenAI model service?
Prompt 2
Show me how to create an AI agent with a knowledge base and publish it using the Chat SDK to my website.
Prompt 3
What's the best way to build a multi-step workflow in Coze Studio that calls external APIs and databases?
Prompt 4
How do I create a custom plugin in Coze Studio and integrate it into my agent?
Prompt 5
Walk me through deploying a Coze Studio agent to production and monitoring its performance.
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Generated 2026-05-21 · Model: sonnet-4-6 · Verify against the repo before relying on details.