Comparison
ruoyi-ai vs hello-agents
Verdict
Pick ruoyi-ai when ruoyi-ai is primarily Java; hello-agents is Python; pick hello-agents when hello-agents is primarily Python; ruoyi-ai is Java.
Markdown twin · ruoyi-ai alternatives · hello-agents alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | ruoyi-ai | hello-agents |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Very active (0d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of 4d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of today · osv@v1 | No lockfile (source not queried) As of 4d · 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
- 面向企业级市场的一站式AI应用开发框架,支持多厂商大模型统一接入与管理,具备安全可控的企业知识库与高精度检索优化能力,提供可视化流程编排、自主决策智能体与多智能体协同调度,兼容主流 Agent Skill 协议,帮助企业与开发者零门槛快速构建安全、高效、可落地的AI智能体应用与行业解决方案。
- hello-agents
- Course on building intelligent agents from scratch
Stars
- ruoyi-ai
- 5.5k
- hello-agents
- 65k
Forks
- ruoyi-ai
- 1.4k
- hello-agents
- 8.1k
Open issues
- ruoyi-ai
- 8
- hello-agents
- 144
Language
- ruoyi-ai
- Java
- hello-agents
- Python
Adopt for
- ruoyi-ai
- -
- hello-agents
- hello-agents is a comprehensive guide and hands-on tutorial for developing AI agents using LLMs (Large Language Models) and RAG methods.
Persona
- ruoyi-ai
- -
- hello-agents
- -
Runtime
- ruoyi-ai
- -
- hello-agents
- -
License
- ruoyi-ai
- MIT
- hello-agents
- hello-agents is covered under an unconventional license which may require further review before usage.
Last pushed
- ruoyi-ai
- Jul 15, 2026
- hello-agents
- Jul 10, 2026
Categories
- ruoyi-ai
- AI Agents, Computer Vision, LLM Frameworks
- hello-agents
- AI Agents, LLM Frameworks
Trust and health
Open issues (now)
- ruoyi-ai
- 8
- hello-agents
- 144
Owner type
- ruoyi-ai
- User
- hello-agents
- Organization
Full report
- ruoyi-ai
- Trust report
- hello-agents
- Trust report
Choose ruoyi-ai if…
- ruoyi-ai is primarily Java; hello-agents is Python.
- License: ruoyi-ai is MIT, hello-agents is Other.
- Tags unique to ruoyi-ai: ai, java, knowledge, mcp.
- Also covers Computer Vision.
When NOT to use ruoyi-ai
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose hello-agents if…
- hello-agents is primarily Python; ruoyi-ai is Java.
- License: hello-agents is Other, ruoyi-ai is MIT.
- Requirements: Min 4 GB RAM; Python knowledge assumed.
- Tags unique to hello-agents: llm, tutorial.
- You should use hello-agents if you are interested in practical, step-by-step instructions on building intelligent agents from the ground up.
When NOT to use hello-agents
- Avoid using hello-agents if you are looking for a quick, superficial introduction to AI agents; this tool focuses heavily on in-depth learning and practical application.
- Do not opt for hello-agents if you want a more general AI development resource; unlike some competitors, it has a narrower focus specifically on agent creation with advanced methods like LLMs and RAG.
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 Jul 15, 2026
- GitHub forks (ageerle/ruoyi-ai) · observed Jul 15, 2026
- Last push (ageerle/ruoyi-ai) · observed Jul 15, 2026
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (datawhalechina/hello-agents) · observed Jul 11, 2026
- GitHub forks (datawhalechina/hello-agents) · observed Jul 11, 2026
- Last push (datawhalechina/hello-agents) · observed Jul 10, 2026
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ruoyi-ai 5.5k · hello-agents 65k (synced Jul 15, 2026).
Common questions
- What is the difference between ruoyi-ai and hello-agents?
- ruoyi-ai: 面向企业级市场的一站式AI应用开发框架,支持多厂商大模型统一接入与管理,具备安全可控的企业知识库与高精度检索优化能力,提供可视化流程编排、自主决策智能体与多智能体协同调度,兼容主流 Agent Skill 协议,帮助企业与开发者零门槛快速构建安全、高效、可落地的AI智能体应用与行业解决方案。. hello-agents: Course on building intelligent agents from scratch. See the comparison table for live GitHub stats and shared categories.
- When should I choose ruoyi-ai over hello-agents?
- Choose ruoyi-ai over hello-agents when ruoyi-ai is primarily Java; hello-agents is Python; License: ruoyi-ai is MIT, hello-agents is Other; Tags unique to ruoyi-ai: ai, java, knowledge, mcp; Also covers Computer Vision.
- When should I choose hello-agents over ruoyi-ai?
- Choose hello-agents over ruoyi-ai when hello-agents is primarily Python; ruoyi-ai is Java; License: hello-agents is Other, ruoyi-ai is MIT; Requirements: Min 4 GB RAM; Python knowledge assumed; Tags unique to hello-agents: llm, tutorial; You should use hello-agents if you are interested in practical, step-by-step instructions on building intelligent agents from the ground up.
- When should I avoid ruoyi-ai?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- When should I avoid hello-agents?
- Avoid using hello-agents if you are looking for a quick, superficial introduction to AI agents; this tool focuses heavily on in-depth learning and practical application. Do not opt for hello-agents if you want a more general AI development resource; unlike some competitors, it has a narrower focus specifically on agent creation with advanced methods like LLMs and RAG.
- Is ruoyi-ai or hello-agents more popular on GitHub?
- hello-agents has more GitHub stars (65,432 vs 5,514). Stars measure visibility, not whether either tool fits your constraints.
- Are ruoyi-ai and hello-agents open source?
- Yes - both are open-source projects on GitHub (ruoyi-ai: MIT, hello-agents: Other).
- Where can I find alternatives to ruoyi-ai or hello-agents?
- GraphCanon lists graph-backed alternatives at ruoyi-ai alternatives and hello-agents alternatives (ruoyi-ai markdown twin, hello-agents 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 hello-agents?
- ruoyi-ai: Very active. hello-agents: Very active. 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 hello-agents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ruoyi-ai trust report; hello-agents trust report.