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@ageerle/ruoyi-ai

Enterprise AI agent framework for Java and MCP

RuoYi AI is a Java-based framework and platform for building enterprise agent systems. It brings together model management, knowledge retrieval, workflow orchestration, and multi-agent coordination in one codebase. It also includes MCP integration and skill support so builders can connect agents to tools and shared task logic.

5,687 stars1.4k forksJavaUpdated 9d ago
Who it's for

Builders who want to build agent apps with shared workflows, retrieval, and tool integrations.

What it delivers

You can build and run production-style agent systems without stitching model, RAG, workflow, and tool layers together yourself.

What it does

Multi-provider model management

Connects to multiple LLM providers and supports multi-modal understanding plus platform integrations like Coze, DIFY, FastGPT, and RAGFlow.

Knowledge management with RAG

Provides local RAG, vector database support for Milvus, Weaviate, and Qdrant, and document parsing for knowledge bases.

Visual workflow orchestration

Includes a drag-and-drop workflow designer with SSE streaming execution and nodes for model calls, email sending, and manual review.

Multi-agent coordination

Uses Langchain4j with Supervisor mode orchestration and multiple decision models to combine tools and skills across agents.

Tool and MCP support

Adds MCP protocol integration and a skill-capable tool ecosystem for agent actions.

How to get it

  1. 1If you need to build backend services from source, follow these steps
    # Enter backend project directory
    cd ruoyi-ai
    
    # Start backend service (build from source)
    docker-compose up -d --build
    
    # Wait for backend service to start
    docker-compose logs -f backend
  2. 2Run
    # Enter admin panel project directory
    cd ruoyi-admin
    
    # Build and start admin panel
    docker-compose up -d --build
    
    # Access admin panel
    # URL: http://localhost:5666
  3. 3Run
    # Enter user frontend project directory
    cd ruoyi-web
    
    # Build and start user frontend
    docker-compose up -d --build
    
    # Access user frontend
    # URL: http://localhost:5137

README

RuoYi AI

Contributors Forks Stargazers Issues MIT License

GitHub Trending

RuoYi AI Logo

Enterprise-Grade AI Assistant Platform

An out-of-the-box full-stack AI platform supporting multi-agent collaboration, Supervisor mode orchestration, and multiple decision models, with advanced RAG technology and visual workflow orchestration capabilities

中文 | 📖 Documentation | 🚀 Live Demo | 🐛 Report Issues | 💡 Feature Requests

🚀 Live Demo

ServiceURLDefault Account
Admin Panelhttp://129.226.199.247:25666admin / admin123
User Frontendhttp://129.226.199.247:25137admin / admin123
Commercial Editionhttps://web.ruoyiai.chatWeChat QR code login

✨ Core Features

ModuleCurrent Capabilities
Model ManagementMulti-model integration (DeepSeek/Zhipu/MIMO/Bailian/OpenAI), multi-modal understanding, Coze/DIFY/FastGPT/RAGFlow platform integration
Knowledge ManagementLocal RAG + Vector DB (Milvus/Weaviate/Qdrant) + Document parsing
Tool ManagementMCP protocol integration, Skills capability + Extensible tool ecosystem
Workflow OrchestrationVisual workflow designer, drag-and-drop node orchestration, SSE streaming execution, currently supports model calls, email sending, manual review, and other nodes
Multi-AgentAgent framework based on Langchain4j, Supervisor mode orchestration, supports multiple decision models, can flexibly combine tools and skills

Project Repositories

ModuleGitHub RepositoryGitee RepositoryGitCode Repository
🔧 Backendruoyi-airuoyi-airuoyi-ai
🎨 User Frontendruoyi-webruoyi-webruoyi-web
🛠️ Admin Panelruoyi-adminruoyi-adminruoyi-admin
🎬 Dramaruoyi-dramaruoyi-dramaruoyi-drama
🤖 Copilotruoyi-copilotruoyi-copilotruoyi-copilot
📱 Mini-Appruoyi-uniappruoyi-uniappruoyi-uniapp

Partner Projects

Project NameGitHub RepositoryGitee Repository
element-plus-xelement-plus-xelement-plus-x

🛠️ Technical Architecture

Core Framework

  • Backend: Spring Boot 3.5.8 + Langchain4j
  • Data Storage: MySQL 8.0 + Redis + Vector Databases (Milvus/Weaviate/Qdrant)
  • Frontend: Vue 3 + Vben Admin + element-plus-x
  • Security: Sa-Token + JWT dual-layer security
  • Document Processing: PDF, Word, Excel parsing, intelligent image analysis
  • Real-time Communication: WebSocket real-time communication, SSE streaming response
  • System Monitoring: Comprehensive logging system, performance monitoring, service health checks

🐳 Docker Deployment

This project provides two Docker deployment methods:

Method 1: One-click Start All Services (Recommended)

Use docker-compose-all.yaml to start all services at once (including backend, admin panel, user frontend, and dependencies):

Requirements

  • Docker Engine(Linux/macOS)或 Docker Desktop(Windows)
  • Docker Compose V2

Linux / macOS


# Clone the v3.1.0 release
git clone --depth 1 --branch v3.1.0 https://github.com/ageerle/ruoyi-ai.git
cd ruoyi-ai

# Pin the image version. Public GHCR images do not require docker login.
cp docs/docker/ruoyi-ai/.env.example docs/docker/ruoyi-ai/.env
sed -i 's/^RUIYI_VERSION=.*/RUIYI_VERSION=v3.1.0/' docs/docker/ruoyi-ai/.env

# Pull pre-built images from GHCR and start all services
docker compose --env-file docs/docker/ruoyi-ai/.env \
  -f docs/docker/ruoyi-ai/docker-compose-all.yaml pull
docker compose --env-file docs/docker/ruoyi-ai/.env \
  -f docs/docker/ruoyi-ai/docker-compose-all.yaml up -d

# Check service status
docker compose --env-file docs/docker/ruoyi-ai/.env \
  -f docs/docker/ruoyi-ai/docker-compose-all.yaml ps

# Access services (replace SERVER_IP with the server address)
# Admin Panel: http://SERVER_IP:25666 (admin / admin123)
# User Frontend: http://SERVER_IP:25137
# Backend API: http://SERVER_IP:26039

Windows PowerShell

If you are using Windows with Docker Desktop, you can use PowerShell to execute the following commands:


# Clone the v3.1.0 release
git clone --depth 1 --branch v3.1.0 https://github.com/ageerle/ruoyi-ai.git
cd ruoyi-ai

# Create the environment configuration file
Copy-Item docs\docker\ruoyi-ai\.env.example docs\docker\ruoyi-ai\.env

# Pin the image version
(Get-Content docs\docker\ruoyi-ai\.env) `
  -replace '^RUIYI_VERSION=.*', 'RUIYI_VERSION=v3.1.0' |
  Set-Content docs\docker\ruoyi-ai\.env

# Check the environment configuration
Get-Content docs\docker\ruoyi-ai\.env

# Pull pre-built images from GHCR and start all services
docker compose --env-file docs\docker\ruoyi-ai\.env `
  -f docs\docker\ruoyi-ai\docker-compose-all.yaml pull
docker compose --env-file docs\docker\ruoyi-ai\.env `
  -f docs\docker\ruoyi-ai\docker-compose-all.yaml up -d

# Check service status
docker compose --env-file docs\docker\ruoyi-ai\.env `
  -f docs\docker\ruoyi-ai\docker-compose-all.yaml ps

The default Compose file also publishes MySQL (23306), Redis (26379), Weaviate (28080), and MinIO (29000/29090). For production deployments, change the default MySQL and MinIO passwords and expose only the application ports through the firewall or a reverse proxy.

To upgrade to another published release, update RUIYI_VERSION in docs/docker/ruoyi-ai/.env, then run docker compose pull and docker compose up -d with the same --env-file and -f options. Do not use docker compose down -v unless you intend to delete persistent data volumes.

Method 2: Step-by-step Deployment (Source Build)

If you need to build backend services from source, follow these steps:

Step 1: Deploy Backend Service

# Enter backend project directory
cd ruoyi-ai

# Start backend service (build from source)
docker-compose up -d --build

# Wait for backend service to start
docker-compose logs -f backend

Step 2: Deploy Admin Panel

# Enter admin panel project directory
cd ruoyi-admin

# Build and start admin panel
docker-compose up -d --build

# Access admin panel
# URL: http://localhost:5666

Step 3: Deploy User Frontend (Optional)

# Enter user frontend project directory
cd ruoyi-web

# Build and start user frontend
docker-compose up -d --build

# Access user frontend
# URL: http://localhost:5137

Service Ports

ServiceOne-click PortStep-by-step PortDescription
Admin Panel256665666Admin backend access
User Frontend251375137User frontend access
Backend Service260396039Backend API service
MySQL2330623306Database service
Redis263796379Cache service
Weaviate2808028080Vector database
MinIO API290009000Object storage API
MinIO Console290909090Object storage console

📚 Documentation

Want to learn more about installation, deployment, configuration, and secondary development?

👉 Complete Documentation

🤝 Contributing

We warmly welcome community contributions! Whether you are a seasoned developer or just getting started, you can contribute to the project 💪

How to Contribute

  1. Fork the project to your account
  2. Create a branch (git checkout -b feature/new-feature-name)
  3. Commit your changes (git commit -m 'Add new feature')
  4. Push to the branch (git push origin feature/new-feature-name)
  5. Create a Pull Request

💡 Tip: We recommend submitting PRs to GitHub, we will automatically sync to other code hosting platforms

📄 License

This project is licensed under the MIT License. See the LICENSE file for details.

🙏 Acknowledgments

Thanks to the following excellent open-source projects for their support:

💎 Sponsors

Thanks to the following sponsors for supporting this project:

Atlas Cloud

Visit Atlas Cloud · Coding Plan Promotion A full-modal AI inference platform that gives developers a unified AI API, supporting video generation, image generation, and LLMs. Connect once to access 300+ curated models.

Volcengine CodingPlan

Sign up to claim 25 million tokens — go now Enjoy ByteDance's in-house Doubao models plus full-power open-source SOTA models, covering text, VLM, and image generation — all modalities in one stop: Seed-2.1, Seedream-5.0, GLM-5.2, DeepSeek, and more. Not just for coding — it can also tackle complex long-horizon Agent tasks!

💬 Community Chat

WeChat QR Code
Scan to add author on WeChat
Join group for learning
Douyin QR Code
Douyin Video Tutorials
Open Douyin, scan & follow to watch video tutorials
QQ Group QR Code
QQ Tech Exchange Group
Technical discussion

⭐ Star to SupportFork to Contribute📚 中文📖 Complete Documentation

Built with ❤️, maintained by the RuoYi AI open-source community

Files in the repo

Repository payload13 top-level entries
  • .github
  • docs
  • ruoyi-admin
  • ruoyi-common
  • ruoyi-extend
  • ruoyi-modules
  • scripts
  • .editorconfig
  • .gitignore
  • LICENSE
  • pom.xml
  • README_ZH.md
  • README.md

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