Comparison
hello-agents vs aideml
Verdict
Pick hello-agents when license: hello-agents is Other, aideml is MIT; pick aideml when license: aideml is MIT, hello-agents is Other.
Markdown twin · hello-agents alternatives · aideml alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | hello-agents | aideml |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Steady (70d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | 1 low (1 low) As of today · osv@v1 |
Tagline
- hello-agents
- Course on building intelligent agents from scratch
- aideml
- AIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.
Stars
- hello-agents
- 65k
- aideml
- 1.3k
Forks
- hello-agents
- 8.1k
- aideml
- 197
Open issues
- hello-agents
- 144
- aideml
- 0
Language
- hello-agents
- Python
- aideml
- Python
Adopt for
- hello-agents
- hello-agents is a comprehensive guide and hands-on tutorial for developing AI agents using LLMs (Large Language Models) and RAG methods.
- aideml
- -
Persona
- hello-agents
- -
- aideml
- -
Runtime
- hello-agents
- -
- aideml
- -
License
- hello-agents
- hello-agents is covered under an unconventional license which may require further review before usage.
- aideml
- MIT
Last pushed
- hello-agents
- Jul 10, 2026
- aideml
- May 2, 2026
Categories
- hello-agents
- LLM Frameworks, AI Agents
- aideml
- AI Agents, LLM Frameworks, Model Training
Trust and health
Maintenance
- hello-agents
- Very active (96%)
- aideml
- Steady (60%)
Days since push
- hello-agents
- 0d
- aideml
- 70d
Open issues (now)
- hello-agents
- 144
- aideml
- 0
Security scan
- hello-agents
- No lockfile
- aideml
- 1 low (1 low)
Full report
- hello-agents
- Trust report
- aideml
- Trust report
Choose hello-agents if…
- License: hello-agents is Other, aideml is MIT.
- Requirements: Min 4 GB RAM; Python knowledge assumed.
- Tags unique to hello-agents: rag, tutorial, agent.
- 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.
Choose aideml if…
- License: aideml is MIT, hello-agents is Other.
- Tags unique to aideml: data-science, ai, autoresearch, autonomous-agents.
- Also covers Model Training.
- aideml ships Docker support for self-hosted deployment.
When NOT to use aideml
- 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.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (WecoAI/aideml) · observed Jul 11, 2026
- GitHub forks (WecoAI/aideml) · observed Jul 11, 2026
- Last push (WecoAI/aideml) · observed May 2, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: hello-agents 65k · aideml 1.3k (synced Jul 11, 2026).
Common questions
- What is the difference between hello-agents and aideml?
- hello-agents: Course on building intelligent agents from scratch. aideml: AIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.. See the comparison table for live GitHub stats and shared categories.
- When should I choose hello-agents over aideml?
- Choose hello-agents over aideml when License: hello-agents is Other, aideml is MIT; Requirements: Min 4 GB RAM; Python knowledge assumed; Tags unique to hello-agents: rag, tutorial, agent; 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 choose aideml over hello-agents?
- Choose aideml over hello-agents when License: aideml is MIT, hello-agents is Other; Tags unique to aideml: data-science, ai, autoresearch, autonomous-agents; Also covers Model Training; aideml ships Docker support for self-hosted deployment.
- 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.
- When should I avoid aideml?
- 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. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Is hello-agents or aideml more popular on GitHub?
- hello-agents has more GitHub stars (65,432 vs 1,347). Stars measure visibility, not whether either tool fits your constraints.
- Are hello-agents and aideml open source?
- Yes - both are open-source projects on GitHub (hello-agents: Other, aideml: MIT).
- Where can I find alternatives to hello-agents or aideml?
- GraphCanon lists graph-backed alternatives at hello-agents alternatives and aideml alternatives (hello-agents markdown twin, aideml 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, hello-agents or aideml?
- hello-agents: Very active. aideml: Steady. 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 hello-agents and aideml?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hello-agents trust report; aideml trust report.