GraphCanon updated Sep 8, 2026 · GitHub synced Sep 8, 2026
27views this month
Decision brief
Ruoyi-ai is an enterprise-focused all-in-one AI app development framework with support for model management, multi-agent collaboration, and RAG technology.
Good fit when
- When you need to integrate multiple vendor models into a single platform
- For building custom knowledge bases with high precision search capabilities
Avoid when
- Avoid if only simple AI functionalities are needed without complex model integration or management
- Not recommended for teams preferring non-Java ecosystems as the platform is Java-centric
Observed Jul 16, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (2d since push)
- As of Sep 8, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 8, 2026
- Security (OSV)
- No lockfile
- As of Jul 26, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/ageerle/ruoyi-aiSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
企业级全栈AI平台，支持多智能体协同与RAG技术，提供模型和知识管理、流程编排等功能.
Capability facts
- Languages
- java
Source: github.language · Sep 8, 2026
Categories
Tags
README
🐳 Docker Deployment This project provides two Docker deployment methods: Pin the image version. Public GHCR images do not require docker login. cp docs/docker/ruoyi ai/.env.example docs/docker/ruoyi ai/.env sed i 's/^RUIYI VERSION=. /RUIYI VERSION=v3.1.0/' docs/docker/ruoyi ai/....
For agents
This page has a .md twin and JSON over the API.