Claude Skill

ageerle/ruoyi-ai

RuoYi-AI is an enterprise AI application framework with unified multi-vendor LLM access, secure knowledge base, visual workflow, and multi-agent coordination. Compatible with Agent Skill protocols...

Overview

Stars5,467
Forks1,341
LanguageJava
Last pushed2026-06-10
Last synced2026-07-03
View on GitHub

Repository

Ownerageerle
Repositoryruoyi-ai
Full nameageerle/ruoyi-ai
Repo ID743,825,398

Install this Skill

git clone https://github.com/ageerle/ruoyi-ai.git

Registry

Typemcp_server
Quality score75/100
Verificationreadme_parsed
Last verified2026-05-29
Platforms
MCP
Capabilities
code-reviewpdfmemoryimageagentaiknowledgemcprag
Detected files
README.mdREADME_EN.mddocs

Summary

RuoYi-AI is an enterprise-grade AI application development framework that provides unified multi-vendor large model access and management, secure enterprise knowledge bases with high-precision retrieval optimization, visual workflow orchestration, autonomous decision-making agents, and multi-agent collaborative scheduling. It is compatible with mainstream Agent Skill protocols and supports WeChat ecosystem expansion, enabling enterprises and developers to quickly build secure, efficient, and deployable AI agent applications and industry solutions with zero barriers.

Chinese description

面向企业级市场的一站式AI应用开发框架,支持多厂商大模型统一接入与管理,具备安全可控的企业知识库与高精度检索优化能力,提供可视化流程编排、自主决策智能体与多智能体协同调度,兼容主流Agent Skill协议,同时支持微信生态扩展,帮助企业与开发者零门槛快速构建安全、高效、可落地的AI智能体应用与行业解决方案。

Key features

  • Unified multi-vendor large model access and management
  • Secure enterprise knowledge base with high-precision RAG
  • Visual workflow orchestration and autonomous agent
  • Multi-agent collaborative scheduling
  • Compatible with mainstream Agent Skill protocols
  • WeChat ecosystem expansion support

Use cases

  • Enterprise AI assistant with internal knowledge base
  • Automated customer service agent for business scenarios
  • Multi-agent collaborative workflow for complex tasks
  • WeChat-based intelligent chatbot and service robot
  • Industry-specific AI solution rapid prototyping

README excerpt

# RuoYi AI <div align="center"> [![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] <p align="center"> <a href="https://trendshift.io/repositories/13209"> <img src="https://trendshift.io/api/badge/repositories/13209" alt="GitHub Trending"> </a> </p> <img src="docs/image/logo.png" alt="RuoYi AI Logo" width="120" height="120"> ### 企业级AI助手平台 *开箱即用的全栈AI平台,支持多智能体协同、Supervisor模式编排、多种决策模式、RAG技术和流程编排能力* **[English](README_EN.md)** | **[📖 使用文档](https://doc.pandarobot.chat)** | **[🚀 在线体验](https://web.pandarobot.chat)** | **[🐛 问题反馈](https://github.com/ageerle/ruoyi-ai/issues)** | **[💡 功能建议](https://github.com/ageerle/ruoyi-ai/issues)** </div> ## ✨ 核心亮点 | 模块 | 现有能力 |:----------:|--- | **模型管理** | 多模型接入(OpenAI/DeepSeek/通义/智谱/MiniMax)、多模态理解、Coze/DIFY/FastGPT平台集成 | **知识管理** | 本地RAG + 向量库(Milvus/Weaviate/Qdrant) + 文档解析 | **工具管理** | Mcp协议集成、Skills能力 + 可扩展工具生态 | **流程编排** | 可视化工作流设计器、节点拖拽编排、SSE流式执行,目前已经支持模型调用,邮件发送,人工审核等节点 | **多智能体** | 基于Langchain4j的Agent框架、Supervisor模式编排,支持多种决策模型 ## 🚀 快速体验 ### 在线演示 | 平台 | 地址 | 账号 | |:------:|---|---| | 用户端 | [web.pandarobot.chat](https://web.pandarobot.chat) | admin / admin123 | | 管理后台 | [admin.pandarobot.chat](https://admin.pandarobot.chat) | admin / admin123 | ### 项目源码 | 项目模块 | GitHub 仓库 | Gitee 仓库 | GitCode 仓库 | |----------|-------------------------------------------------------|------------------------------------------------------|--------------------------------

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Data from GitHub. Synced on 2026-07-03