ageerle/ruoyi-ai
An enterprise AI development framework for building AI agents. It provides unified management of multi-provider LLMs, secure enterprise knowledge bases with high-precision retrieval
About ageerle/ruoyi-ai
ageerle/ruoyi-ai is an open-source project on GitHub, mainly written in Java. An enterprise AI development framework for building AI agents. It provides unified management of multi-provider LLMs It currently holds 5,710 stars and 0 forks with 0 open issues, and was last pushed on an unknown date (repository created unknown).
Project Overview
AI Homed tracks it on the AI Models & LLM Tools board.
GitHub Repository Details
README
RuoYi AI
[![Contributors][contributors-shield]][contributors-url] [![Forks][forks-shield]][forks-url] [![Stargazers][stars-shield]][stars-url] [![Issues][issues-shield]][issues-url] [![MIT License][license-shield]][license-url]
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
| Service | URL | Default Account | |---|---|---| | Admin Panel | http://129.226.199.247:25666 | admin / admin123 | | User Frontend | http://129.226.199.247:25137 | admin / admin123 | | Commercial Edition | https://web.ruoyiai.chat | WeChat QR code login |
✨ Core Features
| Module | Current Capabilities | |:---:|---| | Model Management | Multi-model integration (DeepSeek/Zhipu/MIMO/Bailian/OpenAI), multi-modal understanding, Coze/DIFY/FastGPT/RAGFlow platform integration | | Knowledge Management | Local RAG + Vector DB (Milvus/Weaviate/Qdrant) + Document parsing | | Tool Management | MCP protocol integration, Skills capability + Extensible tool ecosystem | | Workflow Orchestration | Visual workflow designer, drag-and-drop node orchestration, SSE streaming execution, currently supports model calls, email sending, manual review, and other nodes | | Multi-Agent | Agent framework based on Langchain4j, Supervisor mode orchestration, supports multiple decision models, can flexibly combine tools and skills |
Project Repositories
| Module | GitHub Repository | Gitee Repository | GitCode Repository | |----------|-------------------------------------------------------|------------------------------------------------------|--------------------------------------------------------| | 🔧 Backend | ruoyi-ai | ruoyi-ai | ruoyi-ai | | 🎨 User Frontend | ruoyi-web | ruoyi-web | ruoyi-web | | 🛠️ Admin Panel | ruoyi-admin | ruoyi-admin | ruoyi-admin | | 🎬 Drama | ruoyi-drama | ruoyi-drama | ruoyi-drama | | 🤖 Copilot | ruoyi-copilot | ruoyi-copilot | ruoyi-copilot | | 📱 Mini-App | ruoyi-uniapp | ruoyi-uniapp | ruoyi-uniapp |
Partner Projects
| Project Name | GitHub Repository | Gitee Repository | |----------------|-------------------------------------------------------|------------------------------------------------------| | element-plus-x | element-plus-x | element-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
| Service | One-click Port | Step-by-step Port | Description | |------|-------------|-------------|------| | Admin Panel | 25666 | 5666 | Admin backend access | | User Frontend | 25137 | 5137 | User frontend access | | Backend Service | 26039 | 6039 | Backend API service | | MySQL | 23306 | 23306 | Database service | | Redis | 26379 | 6379 | Cache service | | Weaviate | 28080 | 28080 | Vector database | | MinIO API | 29000 | 9000 | Object storage API | | MinIO Console | 29090 | 9090 | Object storage console |
📚 Documentation
Want to learn more about installation, deployment, configuration, and secondary development?
🤝 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:
- Langchain4j - Powerful Java LLM development framework
- RuoYi-Vue-Plus - Mature enterprise-level rapid development framework
- Vben Admin - Modern Vue admin template
💎 Sponsors
Thanks to the following sponsors for supporting this project:
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.
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
![]() Scan to add author on WeChat Join group for learning |
![]() Douyin Video Tutorials Open Douyin, scan & follow to watch video tutorials |
![]() QQ Tech Exchange Group Technical discussion |
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⭐ Star to Support • Fork to Contribute • 📚 中文 • 📖 Complete Documentation
Built with ❤️, maintained by the RuoYi AI open-source community
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