Make vs Ruoyi-ai
RuoYi AI is a plausible replacement for AI-centric, self-hosted orchestration, not a feature-equivalent substitute for Make’s broad application-automation platform. Choose RuoYi AI when a technical team can operate a Java-based stack and primarily needs visual AI workflows, multi-model management, RAG, MCP tools, or multi-agent coordination. Choose Make when the priority is managed cross-application automation, its 3
Decision guide
The practical reasons to choose either option, based on documented capabilities.
Choose Ruoyi-ai if
- Technical teams needing self-hosted visual workflows centered on LLM calls, RAG, MCP tools, and agents
- Organizations prepared to operate Spring Boot, MySQL, Redis, a vector database, object storage, and separate web interfaces
- Developers extending model providers or integrating OpenAI-compatible APIs in a Java-based system
Stay with Make if
- Workflows depend on Make’s library of more than 3,000 pre-built application integrations; comparable connector breadth is not documented for RuoYi AI
- Teams require documented workflow templates; no equivalent template library is established in the supplied RuoYi AI sources
- Organizations need Make’s stated SSO, GDPR, SOC 3, or SOC 2 Type II coverage; the supplied RuoYi AI material documents JWT and Sa-Token but not those controls or certifications erosion?
Deployment and operations
RuoYi AI is self-hostable and MIT-licensed. Its documented all-in-one deployment uses Docker Engine, Docker Compose V2, and pre-built GHCR images; source-build Compose deployment is also described. The stack includes a Spring Boot 3.5.8/Langchain4j backend, MySQL 8.0, Redis, a supported vector database, Vue frontends, and object storage in the default Compose setup. Operators must change default MySQL and MinIO passwords, restrict exposed ports, preserve persistent volumes, and update the pinned
Feature fit
What Ruoyi-ai covers
- Visual workflow orchestration
- Drag-and-drop workflow nodes
- AI-model connections
- MCP-based tool integration
- AI-agent orchestration
- External-system calls
What’s different or missing
- No documented 3,000-plus app catalog
- No documented workflow-template library
- No documented SSO support
- No documented SOC or GDPR claims
- No documented Make workflow importer
Project snapshot
- GitHub stars
- 5,633
- Contributors
- 54
- Language
- Java
- Last commit
- Aug 15, 2026
- Latest release
- Aug 4, 2026
Categories: Workflow Automation
Sources and editorial review13 linked sources
Public documentation supports this comparison. Automation assists collection and classification; editorial standards and corrections remain the responsibility of Kris.
An enterprise AI development framework for building AI agents. It provides ... visual workflow orchestration and multi-agent coordination.
repository description · github.comAn out-of-the-box full-stack AI platform supporting multi-agent collaboration, Supervisor mode orchestration, and ... visual workflow orchestration capabilities
readme · github.comWorkflow Orchestration | Visual workflow designer, drag-and-drop node orchestration, SSE streaming execution, currently supports model calls, email sending, manual review, and other nodes
readme · github.comTool Management | MCP protocol integration, Skills capability + Extensible tool ecosystem
readme · github.comDocker Deployment ... docker compose ... up -d
readme · github.comFrontend: Vue 3 + Vben Admin + element-plus-x
readme · github.comWorkflow Orchestration | Visual workflow designer, drag-and-drop node orchestration, SSE streaming execution, currently supports model calls, email sending, manual review, and other nodes
verdict · github.comIt provides unified management of multi-provider LLMs, secure enterprise knowledge bases with high-precision retrieval, visual workflow orchestration and multi-agent coordination.
best for · github.comThis project is licensed under the **MIT License**. See the [LICENSE](LICENSE) file for details.
deployment · github.com# Requirements: Docker Engine and Docker Compose V2
deployment · github.comFor production deployments, change the default MySQL and MinIO passwords and expose only the application ports through the firewall or a reverse proxy.
deployment · github.comMCP protocol integration, Skills capability + Extensible tool ecosystem
shared feature · github.comSecurity: Sa-Token + JWT dual-layer security
consider original · github.com
