#313 · Primary category： AI Agents & Automation
ruoyi-ai
An enterprise AI development framework for building AI agents with multi-provider LLM management, RAG knowledge bases, visual workflow orchestration, and multi-agent coordination.
Project last updated：08/16/26
GitHub Stars
5.7K
Forks
1.4K
Contributors
53
License
MIT
Why we included this project
Most agent frameworks stop at the model call, so you end up stitching together retrieval, orchestration, and a UI yourself. RuoYi AI covers that whole stack: multi-provider LLM access, RAG knowledge bases, a drag-and-drop workflow designer, and Supervisor-style multi-agent coordination, plus MCP and Skill support for attaching external tools. It also ships with an admin panel and a user-facing front end, which makes it a reasonable base for internal assistants or customer-facing AI products rather than a backend-only library. If your team wants to get from prototype to production without writing glue code for every integration, it is worth a look.
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