Comparison
ruoyi-ai vs yu-ai-agent
Verdict
Pick ruoyi-ai if ruoyi-ai is an enterprise AI development framework for building AI agents, offering unified management of multi-provider LLMs, secure enterprise knowledge bases, visual workflow orchestration, and multi-agent support; 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.
Markdown twin · ruoyi-ai alternatives · yu-ai-agent alternatives
GraphCanon updated Sep 30, 2026
11views this month
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Trust & integrity
| Signal | ruoyi-ai | yu-ai-agent |
|---|---|---|
| Maintenance | Very active (2d since push) As of Sep 8, 2026 · github_public_v1 | Slowing (256d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 8, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 26, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- An enterprise AI development framework for building AI agents
- 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
- 5.7k
- yu-ai-agent
- 2.7k
Forks
- ruoyi-ai
- 1.4k
- yu-ai-agent
- 611
Open issues
- ruoyi-ai
- 4
- yu-ai-agent
- 11
Language
- ruoyi-ai
- Java
- yu-ai-agent
- Java
Adopt for
- ruoyi-ai
- ruoyi-ai is an enterprise AI development framework for building AI agents, offering unified management of multi-provider LLMs, secure enterprise knowledge bases, visual workflow orchestration, and multi-agent support.
- 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
- ruoyi-ai is licensed under the MIT License, allowing for free use, modification, and distribution.
- yu-ai-agent
- -
Last pushed
- ruoyi-ai
- Sep 5, 2026
- yu-ai-agent
- Jan 7, 2026
Categories
- ruoyi-ai
- AI Agents, Data & Retrieval, Developer Tools
- 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
- 2d
- yu-ai-agent
- 256d
Open issues (now)
- ruoyi-ai
- 4
- yu-ai-agent
- 11
Stars delta
- ruoyi-ai
- +73 (30d)
- yu-ai-agent
- +153 (30d)
Open issues delta
- ruoyi-ai
- +3 (30d)
- yu-ai-agent
- 0 (30d)
Full report
- ruoyi-ai
- Trust report
- yu-ai-agent
- Trust report
Choose ruoyi-ai if…
- Pricing: The framework is free to use under the MIT License, but additional services or support might incur costs..
- Requirements: Min 4 GB RAM; Requires Docker; Docker deployment is supported, with two methods provided: pinning image version and step-by-step source build..
- Tags unique to ruoyi-ai: agent, ai, docker, enterprise.
- Also covers Developer Tools.
- When you need a framework that supports unified management of multiple LLM providers, ensuring flexibility in AI development.
When NOT to use ruoyi-ai
- If your project does not require the management of multiple LLM providers and you prefer a single provider solution.
- If your project does not need a secure enterprise knowledge base and relies on public or less secure data sources.
- For projects that do not benefit from visual workflow orchestration and prefer manual configuration.
- If your project does not require multi-agent coordination and focuses on single-agent development.
Choose yu-ai-agent if…
- Tags unique to yu-ai-agent: ai-model, prompt-engineering, spring-ai, tool-calling.
- Also covers Inference & Serving, 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 Sep 20, 2026
- GitHub forks (ageerle/ruoyi-ai) · observed Sep 20, 2026
- Last push (ageerle/ruoyi-ai) · observed Sep 5, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 30, 2026
- Trust scan (lockfile / OSV) · observed Jul 26, 2026
- GitHub stars (liyupi/yu-ai-agent) · observed Sep 20, 2026
- GitHub forks (liyupi/yu-ai-agent) · observed Sep 20, 2026
- Last push (liyupi/yu-ai-agent) · observed Jan 7, 2026
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ruoyi-ai 5.7k · yu-ai-agent 2.7k (synced Sep 20, 2026).
Common questions
- What is the difference between ruoyi-ai and yu-ai-agent?
- ruoyi-ai: An enterprise AI development framework for building AI agents. 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 Pricing: The framework is free to use under the MIT License, but additional services or support might incur costs.; Requirements: Min 4 GB RAM; Requires Docker; Docker deployment is supported, with two methods provided: pinning image version and step-by-step source build.; Tags unique to ruoyi-ai: agent, ai, docker, enterprise; Also covers Developer Tools; When you need a framework that supports unified management of multiple LLM providers, ensuring flexibility in AI development.
- 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 Inference & Serving, 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?
- If your project does not require the management of multiple LLM providers and you prefer a single provider solution. If your project does not need a secure enterprise knowledge base and relies on public or less secure data sources. For projects that do not benefit from visual workflow orchestration and prefer manual configuration. If your project does not require multi-agent coordination and focuses on single-agent development.
- 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 (5,683 vs 2,680). 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.