Comparison
spring-ai-alibaba vs hello-agents
Verdict
Pick spring-ai-alibaba when spring-ai-alibaba is primarily Java; hello-agents is Python; pick hello-agents when hello-agents is primarily Python; spring-ai-alibaba is Java.
Markdown twin · spring-ai-alibaba alternatives · hello-agents alternatives
GraphCanon updated today
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Trust & integrity
| Signal | spring-ai-alibaba | hello-agents |
|---|---|---|
| Maintenance | Very active (1d since push) As of today · github_public_v1 | Very active (0d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Organization 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
- spring-ai-alibaba
- Agentic AI Framework for Java Developers
- hello-agents
- Course on building intelligent agents from scratch
Stars
- spring-ai-alibaba
- 10k
- hello-agents
- 65k
Forks
- spring-ai-alibaba
- 2.3k
- hello-agents
- 8.1k
Open issues
- spring-ai-alibaba
- 238
- hello-agents
- 144
Language
- spring-ai-alibaba
- Java
- hello-agents
- Python
Adopt for
- spring-ai-alibaba
- -
- 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
- spring-ai-alibaba
- -
- hello-agents
- -
Runtime
- spring-ai-alibaba
- -
- hello-agents
- -
License
- spring-ai-alibaba
- Apache-2.0
- hello-agents
- hello-agents is covered under an unconventional license which may require further review before usage.
Last pushed
- spring-ai-alibaba
- Jul 13, 2026
- hello-agents
- Jul 10, 2026
Categories
- spring-ai-alibaba
- AI Agents, LLM Frameworks, Vector Databases
- hello-agents
- AI Agents, LLM Frameworks
Trust and health
Days since push
- spring-ai-alibaba
- 1d
- hello-agents
- 0d
Open issues (now)
- spring-ai-alibaba
- 238
- hello-agents
- 144
Full report
- spring-ai-alibaba
- Trust report
- hello-agents
- Trust report
Choose spring-ai-alibaba if…
- spring-ai-alibaba is primarily Java; hello-agents is Python.
- License: spring-ai-alibaba is Apache-2.0, hello-agents is Other.
- Tags unique to spring-ai-alibaba: agentic, artificial-intelligence, context-engineering, graph.
- Also covers Vector Databases.
When NOT to use spring-ai-alibaba
- 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.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Choose hello-agents if…
- hello-agents is primarily Python; spring-ai-alibaba is Java.
- License: hello-agents is Other, spring-ai-alibaba is Apache-2.0.
- Requirements: Min 4 GB RAM; Python knowledge assumed.
- Tags unique to hello-agents: agent, llm, rag, 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 (alibaba/spring-ai-alibaba) · observed Jul 15, 2026
- GitHub forks (alibaba/spring-ai-alibaba) · observed Jul 15, 2026
- Last push (alibaba/spring-ai-alibaba) · observed Jul 13, 2026
- License file (Apache-2.0) · 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: spring-ai-alibaba 10k · hello-agents 65k (synced Jul 15, 2026).
Common questions
- What is the difference between spring-ai-alibaba and hello-agents?
- spring-ai-alibaba: Agentic AI Framework for Java Developers. hello-agents: Course on building intelligent agents from scratch. See the comparison table for live GitHub stats and shared categories.
- When should I choose spring-ai-alibaba over hello-agents?
- Choose spring-ai-alibaba over hello-agents when spring-ai-alibaba is primarily Java; hello-agents is Python; License: spring-ai-alibaba is Apache-2.0, hello-agents is Other; Tags unique to spring-ai-alibaba: agentic, artificial-intelligence, context-engineering, graph; Also covers Vector Databases.
- When should I choose hello-agents over spring-ai-alibaba?
- Choose hello-agents over spring-ai-alibaba when hello-agents is primarily Python; spring-ai-alibaba is Java; License: hello-agents is Other, spring-ai-alibaba is Apache-2.0; Requirements: Min 4 GB RAM; Python knowledge assumed; Tags unique to hello-agents: agent, llm, rag, 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 spring-ai-alibaba?
- 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. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- 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 spring-ai-alibaba or hello-agents more popular on GitHub?
- hello-agents has more GitHub stars (65,432 vs 10,333). Stars measure visibility, not whether either tool fits your constraints.
- Are spring-ai-alibaba and hello-agents open source?
- Yes - both are open-source projects on GitHub (spring-ai-alibaba: Apache-2.0, hello-agents: Other).
- Where can I find alternatives to spring-ai-alibaba or hello-agents?
- GraphCanon lists graph-backed alternatives at spring-ai-alibaba alternatives and hello-agents alternatives (spring-ai-alibaba 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, spring-ai-alibaba or hello-agents?
- spring-ai-alibaba: 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 spring-ai-alibaba and hello-agents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: spring-ai-alibaba trust report; hello-agents trust report.