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View guide →// agents · ageerle/ruoyi-ai
ruoyi-ai
ruoyi-ai is an open-source ai agents project by ageerle (ageerle/ruoyi-ai on GitHub). It has 5,730 GitHub stars and 1,413 forks, is released under the MIT license, and was last updated on GitHub on 3 October 2026.
Enterprise-grade AI agent framework with multi-provider LLM management, secure knowledge bases and high-precision RAG, visual workflow orchestration, and mul…
★ 5.7k stars⑂ 1.4k forksMITupdated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
so here's a placeholder. The guide below is complete regardless.
// project facts
Project facts
- Repository
- ageerle/ruoyi-ai
- GitHub stars
- 5,730
- Forks
- 1,413
- License
- MIT
- Last updated on GitHub
- 3 October 2026
- Category
- AI Agents
- Listing
- Full install guide
- Official site
- Official site
// how it works
How it works
- Define the job
Research, coding, browsing, or ops — agents work best with a clear goal.
- Pick a framework
From no-code builders to code-first SDKs, match complexity to the task.
- Give it tools
Web search, code execution, and APIs are what make agents useful.
- Run and supervise
Watch the trace, approve consequential actions, iterate.
// features
Why people love it
Evaluations
Benchmarks keep agent quality measurable.
Self-hosted
Run agents on your infra with your keys.
Model agnostic
Swap frontier models as better ones appear.
Observability
Traces show exactly what the agent did and why.
Human in the loop
Approval gates for actions that matter.
Memory
Long-term memory across sessions, not goldfish chat.
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// run it
Run it yourself
- Step 1 — Clone the repo
Download the source and move into the project folder.
git clone https://github.com/ageerle/ruoyi-ai.git cd ruoyi-ai - Step 2 — Check the README
Every project documents its own setup; start with install requirements.
cat README.md | head -60 - Step 3 — Run it
Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch command
// use cases
What you can build
- Automate deep research tasks.
- Let agents write and test code.
- Build support bots that actually act.
- Orchestrate multi-step business ops.
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// faq
Questions, answered
Who maintains ruoyi-ai?
It is an open-source project at ageerle/ruoyi-ai with 1,413 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Is ruoyi-ai free for commercial use?
MIT licensed — use it commercially, no strings attached.
Do I need to code?
Builders exist, but code-first frameworks go further.
What does it cost to run?
Model API bills dominate; self-hosted stacks cut that sharply.
Are agents reliable enough?
For bounded tasks with supervision, yes. Fully autonomous money-moves still need guardrails.
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Get ruoyi-ai
Free and open — grab the source, star the repo, and start creating.