Enterprise-grade AI agent framework with multi-provider LLM management, secure knowledge bases and high-precision RAG, visual workflow orchestration, and multi-agent coordination.
⚡ Executive Summary & Quick Facts
Authoritative Sourceruoyi-ai is ruoyi-ai is an open-source project written in Java: Enterprise-grade AI agent framework with multi-provider LLM management, secure knowledge bases and high-precision RAG, visual workflow orchestration, and multi-agent coordination..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), ageerle/ruoyi-ai has accumulated 5,818 GitHub stars and 1,433 forks. It is written in Java, licensed under MIT, and ranks #2,652 globally. It is actively maintained with the latest commit recorded on Oct 21, 2026.”
| Repository | ageerle/ruoyi-ai ↗ |
|---|---|
| Primary Category | agent |
| Language & Stack | Java |
| Software License | MIT |
| Community Traction | ★ 5.8K stars · ⑂ 1.4K forks · #2,652 globally |
| Maintenance | ● Active (Last commit: Oct 21, 2026) · 12 open issues |
| Target Audience | Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 95/100 · Grade A+Yes, ruoyi-ai is actively maintained. Continuous telemetry recorded the last code commit on Oct 21, 2026 (22 days ago). Supported by 5,818 stars and 1,433 community forks, this repository holds a calculated health index of 95/100, reflecting regular maintenance (22 days ago) and healthy issue cadence.
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/ageerle/ruoyi-ai?utm_source=readme_chart)Compact badges for your README header. Real-time stars, velocity, health audit, and rank.
[](https://githubrepo.cloud/repo/ageerle/ruoyi-ai?utm_source=readme_badge) [](https://githubrepo.cloud/repo/ageerle/ruoyi-ai?utm_source=readme_badge) [](https://githubrepo.cloud/repo/ageerle/ruoyi-ai?utm_source=readme_badge) [](https://githubrepo.cloud/repo/ageerle/ruoyi-ai?utm_source=readme_badge) [](https://githubrepo.cloud/repo/ageerle/ruoyi-ai?utm_source=readme_badge)Momentum
+87
STARS · LAST 30 DAYS
3
PER DAY
#148
MOST-STARRED Java
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +87 | +87 | +270 |
| Per day | 12 | 3 | 3 |
| Forks gained | +21 | +21 | +72 |
ruoyi-ai gained 87 stars in the last 30 days, about 3 a day, and now has 5.8K. It is about 3 years old and has averaged roughly 1.9K stars a year. It ranks #148 among Java repositories and #2,652 across all languages on GitHubRepo.
Trending Record
44
DAYS ON TRENDING
#701
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
ruoyi-ai has maintained a continuous presence across global trending indexes, peaking at #701. Below is the 30-day activity profile:
💡 Overview
ruoyi-ai is an open-source project written in Java: Enterprise-grade AI agent framework with multi-provider LLM management, secure knowledge bases and high-precision RAG, visual workflow orchestration, and multi-agent coordination.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, ai, knowledge. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Java for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ git clone https://github.com/ageerle/ruoyi-ai.git
cd ruoyi-ai⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
JDK 17 or higher (OpenJDK / GraalVM)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
ruoyi-ai coordinates its core functionality through a modular Java pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with ruoyi-ai.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install ruoyi-ai using your package manager: `git clone https://github.com/ageerle/ruoyi-ai.git`
Initialize your project workspace or configuration file for ruoyi-ai.
Import ruoyi-ai into your codebase or invoke it directly from your terminal.
Execute your test suite or run `ruoyi-ai --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
ageerle/ruoyi-ai is currently ranked #2,652 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #2,646 | areal-project/AReaL | Python | ★ 5.8K | Compare ↗ |
| #2,648 | scenee/FloatingPanel | Swift | ★ 5.8K | Compare ↗ |
| #2,649 | holoviz/panel | Python | ★ 5.8K | Compare ↗ |
| #2,650 | sirupsen/napkin-math | Rust | ★ 5.8K | Compare ↗ |
| #2,651 | meta-pytorch/torchtune | Python | ★ 5.8K | Compare ↗ |
| #2,652 | ageerle/ruoyi-ai This Project | Java | ★ 5.8K | |
| #2,652 | crimera/piko | Java | ★ 5.8K | Compare ↗ |
| #2,654 | cloudflare/agents | TypeScript | ★ 5.8K | Compare ↗ |
| #2,655 | ossf/scorecard | Go | ★ 5.8K | Compare ↗ |
| #2,656 | DeepLabCut/DeepLabCut | Python | ★ 5.8K | Compare ↗ |
| #2,657 | coze-dev/coze-loop | Go | ★ 5.8K | Compare ↗ |
Frequently Asked Questions
What does ruoyi-ai do? +
Enterprise-grade AI agent framework with multi-provider LLM management, secure knowledge bases and high-precision RAG, visual workflow orchestration, and multi-agent coordination.
Is ruoyi-ai actively maintained in 2026? +
Yes, ruoyi-ai is actively maintained. The latest code push was recorded on Oct 21, 2026 (22 days ago). It holds a calculated Maintenance Health Score of 95/100 (A+ rating) with 5,818 stars and 12 open issues.
What language is ruoyi-ai written in? +
The primary language is Java. Topics include: agent, ai, knowledge, mcp, rag.
How many stars does ruoyi-ai have? +
ruoyi-ai has 5,818 stars and 1,433 forks on GitHub.
How does ruoyi-ai rank among GitHub repositories? +
With 5,818 stars, ageerle/ruoyi-ai is ranked #2,652 globally across all repositories tracked on GitHubRepo and #148 among Java projects.
What license is ruoyi-ai distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
