Comparison
ruoyi-ai vs yu-ai-agent
Verdict
Pick ruoyi-ai if ruoyi-ai is an enterprise-focused all-in-one AI app development framework with support for model management, multi-agent collaboration, and RAG technology; pick yu-ai-agent if yu-ai-agent is a comprehensive Java-based AI development platform built on Spring Boot 3 and Java 21, focusing on integrating an AI agent named YuManus with advanced features like RAG enhancement and vector databases.
Markdown twin · ruoyi-ai alternatives · yu-ai-agent alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | ruoyi-ai | yu-ai-agent |
|---|---|---|
| Maintenance | Very active (4d since push) As of 1w · github_public_v1 | Slowing (195d since push) As of 1mo · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Personal account As of 1mo · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 3w · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- ruoyi-ai
- 一站式AI应用开发框架
- yu-ai-agent
- A comprehensive AI project based on Spring Boot 3 + Java 21 that integrates an AI agent and恋爱大师application with various AI technologies.
Stars
- ruoyi-ai
- 5.6k
- yu-ai-agent
- 2.5k
Forks
- ruoyi-ai
- 1.4k
- yu-ai-agent
- 571
Open issues
- ruoyi-ai
- 1
- yu-ai-agent
- 11
Language
- ruoyi-ai
- Java
- yu-ai-agent
- Java
Adopt for
- ruoyi-ai
- Ruoyi-ai is an enterprise-focused all-in-one AI app development framework with support for model management, multi-agent collaboration, and RAG technology.
- yu-ai-agent
- yu-ai-agent is a comprehensive Java-based AI development platform built on Spring Boot 3 and Java 21, focusing on integrating an AI agent named YuManus with advanced features like RAG enhancement and vector databases.
Persona
- ruoyi-ai
- -
- yu-ai-agent
- -
Runtime
- ruoyi-ai
- -
- yu-ai-agent
- -
License
- ruoyi-ai
- MIT
- yu-ai-agent
- -
Last pushed
- ruoyi-ai
- Aug 4, 2026
- yu-ai-agent
- Jan 7, 2026
Categories
- ruoyi-ai
- Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, Model Training
- yu-ai-agent
- AI Agents, Data & Retrieval, Inference & Serving, Vector Databases
Trust and health
Maintenance
- ruoyi-ai
- Very active (96%)
- yu-ai-agent
- Slowing (36%)
Days since push
- ruoyi-ai
- 4d
- yu-ai-agent
- 195d
Open issues (now)
- ruoyi-ai
- 1
- yu-ai-agent
- 11
Full report
- ruoyi-ai
- Trust report
- yu-ai-agent
- Trust report
Choose ruoyi-ai if…
- Tags unique to ruoyi-ai: agent, ai, knowledge.
- Also covers Developer Tools, Evaluation & Observability, Model Training.
- When you need to integrate multiple vendor models into a single platform
When NOT to use ruoyi-ai
- 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
- If immediate deployment and setup speed are critical, due to its enterprise-grade extensive features
Choose yu-ai-agent if…
- Tags unique to yu-ai-agent: ai-model, prompt-engineering, spring-ai, tool-calling.
- Also covers AI Agents, Vector Databases.
- yu-ai-agent ships Docker support for self-hosted deployment.
- When developing projects requiring integration of ReAct mode agents using Manas Java implementation
When NOT to use yu-ai-agent
- If your project specifically needs frameworks that are not based on Spring Boot or requires Python-based agent implementations
- When the development team prefers environments without comprehensive integration of vector databases and specific MCP model protocols
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ageerle/ruoyi-ai) · observed Aug 8, 2026
- GitHub forks (ageerle/ruoyi-ai) · observed Aug 8, 2026
- Last push (ageerle/ruoyi-ai) · observed Aug 4, 2026
- License file (MIT) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 26, 2026
- GitHub stars (liyupi/yu-ai-agent) · observed Jul 22, 2026
- GitHub forks (liyupi/yu-ai-agent) · observed Jul 22, 2026
- Last push (liyupi/yu-ai-agent) · observed Jan 7, 2026
- License file (unknown) · observed Jul 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ruoyi-ai 5.6k · yu-ai-agent 2.5k (synced Aug 8, 2026).
Common questions
- What is the difference between ruoyi-ai and yu-ai-agent?
- ruoyi-ai: 一站式AI应用开发框架. yu-ai-agent: A comprehensive AI project based on Spring Boot 3 + Java 21 that integrates an AI agent and恋爱大师application with various AI technologies.. See the comparison table for live GitHub stats and shared categories.
- When should I choose ruoyi-ai over yu-ai-agent?
- Choose ruoyi-ai over yu-ai-agent when Tags unique to ruoyi-ai: agent, ai, knowledge; Also covers Developer Tools, Evaluation & Observability, Model Training; When you need to integrate multiple vendor models into a single platform.
- When should I choose yu-ai-agent over ruoyi-ai?
- Choose yu-ai-agent over ruoyi-ai when Tags unique to yu-ai-agent: ai-model, prompt-engineering, spring-ai, tool-calling; Also covers AI Agents, Vector Databases; yu-ai-agent ships Docker support for self-hosted deployment; When developing projects requiring integration of ReAct mode agents using Manas Java implementation.
- When should I avoid ruoyi-ai?
- 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 If immediate deployment and setup speed are critical, due to its enterprise-grade extensive features
- When should I avoid yu-ai-agent?
- If your project specifically needs frameworks that are not based on Spring Boot or requires Python-based agent implementations When the development team prefers environments without comprehensive integration of vector databases and specific MCP model protocols
- Is ruoyi-ai or yu-ai-agent more popular on GitHub?
- ruoyi-ai has more GitHub stars (5,610 vs 2,527). Stars measure visibility, not whether either tool fits your constraints.
- Are ruoyi-ai and yu-ai-agent open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to ruoyi-ai or yu-ai-agent?
- GraphCanon lists graph-backed alternatives at ruoyi-ai alternatives and yu-ai-agent alternatives (ruoyi-ai markdown twin, yu-ai-agent markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, ruoyi-ai or yu-ai-agent?
- ruoyi-ai: Very active. yu-ai-agent: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for ruoyi-ai and yu-ai-agent?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ruoyi-ai trust report; yu-ai-agent trust report.