# 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, visual workflow orchestration and multi-agent coordination. Compatible with mainstream Agent Skill standards, it enables developers to efficiently build production-gra

Repository: https://github.com/ageerle/ruoyi-ai
Canonical: https://ross.abutalabs.com/products/ruoyi-ai
Homepage: https://doc.ruoyiai.chat
Language: Java
License: MIT
License Family: permissive
Topics: agent, ai, knowledge, rag, mcp
Last push: 2026-08-16T12:58:53+00:00

## Health v2 (maintenance only)
Score: 91/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 96, longevity 68
- inputs: {"age_days": 960, "days_push": 17, "days_rel": 29, "gap_med": 19.5, "n_releases_24m": 7}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5666, forks 1397 (observed 2026-08-28T04:09:27.529898+00:00)

## What it is
RuoYi AI is an open-source, enterprise-grade full-stack AI assistant platform built in Java on the RuoYi ecosystem and LangChain4j. It unifies multi-provider LLM management, RAG knowledge bases with vector stores (Milvus/Qdrant/Weaviate), MCP tool integration, visual workflow orchestration, and multi-agent coordination with Supervisor mode.

## Use cases
- build an enterprise AI assistant platform
- self-host a chatgpt-like app with my own knowledge base
- manage multiple LLM providers behind one API
- build RAG search over company documents
- orchestrate multi-agent workflows visually
- integrate MCP tools into an AI chat app
- build a multi-tenant AI SaaS with billing

## When to choose
- you want an out-of-the-box full-stack AI platform with admin panel and user frontend
- you need enterprise features like multi-tenancy, auth, rate limiting, and billing out of the box
- you want a complete RAG pipeline with document parsing, chunking, vector stores, and reranking
- you prefer a Java/Spring Boot stack with LangChain4j
- you need MCP tool integration and multi-agent orchestration

## When to avoid
- you need a lightweight library to embed in an existing app rather than a full platform
- your stack is Python-centric (LangChain, FastAPI) and you want native Python tooling
- you only need a simple chatbot without admin, tenancy, or workflow features
- you want a minimal, unopinionated agent framework

## Facets
- artifact type: framework
- maturity: active
- function: agent-framework, rag, mcp, chatbot, llm-inference, workflow-automation, chat-interface, web-framework, vector-database, auth
- domain: artificial-intelligence, large-language-models, chatbots, web-development, developer-tools, self-hosted
- platform: jvm, self-hosted, cross-platform
- tags: langchain4j, multi-agent, knowledge-base, workflow-orchestration, spring-boot, ruoyi, enterprise-ai, mcp-tools, supervisor-mode, full-stack, multi-tenant, ai-agents, retrieval-augmented-generation, docker, web-server

## Member repositories
- ageerle/ruoyi-ai (main) score 91

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:27.529898+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:54:19.194697+00:00, confidence not recorded.
  - readme: https://github.com/ageerle/ruoyi-ai (fetched 2026-08-28T04:09:27.529898+00:00, sha 40b721ee2dea)
  - homepage: https://doc.ruoyiai.chat (fetched 2026-08-29T08:49:50.441573+00:00, sha f274f4c48991)
  - site_page: https://doc.ruoyiai.chat/guide/getting-started/projection.html (fetched 2026-08-29T08:49:50.444557+00:00, sha 6ec7326078e0)
  - site_page: https://doc.ruoyiai.chat/guide/changelog/202508_changeLog.html (fetched 2026-08-29T08:49:50.446973+00:00, sha 53f2f9135711)
  - site_page: https://doc.ruoyiai.chat/guide/features/model.html (fetched 2026-08-29T08:49:50.448619+00:00, sha 652ce90547e7)
  - site_page: https://doc.ruoyiai.chat/guide/features/knowledge.html (fetched 2026-08-29T08:49:50.450373+00:00, sha fd082f36cfb3)
  - site_page: https://doc.ruoyiai.chat/guide/features/tools.html (fetched 2026-08-29T08:49:50.452191+00:00, sha 532104bc39d5)
  - site_page: https://doc.ruoyiai.chat/guide/features/memory.html (fetched 2026-08-29T08:49:50.453864+00:00, sha 9de204cd2443)
  - site_page: https://doc.ruoyiai.chat/guide/features/skills.html (fetched 2026-08-29T08:49:50.455790+00:00, sha 9d217f5521ff)
  - site_page: https://doc.ruoyiai.chat/guide/features/agent.html (fetched 2026-08-29T08:49:50.457737+00:00, sha 35a3c020a79a)
- Data as of 2026-08-30T08:39:29.467469+00:00.