Comparison
hello-agents vs llm_agents
Verdict
Pick hello-agents when license: hello-agents is Other, llm_agents is MIT; pick llm_agents when license: llm_agents is MIT, hello-agents is Other.
Markdown twin · hello-agents alternatives · llm_agents alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | hello-agents | llm_agents |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (382d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | 32 low (32 low) As of today · osv@v1 |
Tagline
- hello-agents
- Course on building intelligent agents from scratch
- llm_agents
- Build agents which are controlled by LLMs
Stars
- hello-agents
- 65k
- llm_agents
- 1.1k
Forks
- hello-agents
- 8.1k
- llm_agents
- 85
Open issues
- hello-agents
- 144
- llm_agents
- 3
Language
- hello-agents
- Python
- llm_agents
- 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.
- llm_agents
- -
Persona
- hello-agents
- -
- llm_agents
- -
Runtime
- hello-agents
- -
- llm_agents
- -
License
- hello-agents
- hello-agents is covered under an unconventional license which may require further review before usage.
- llm_agents
- MIT
Last pushed
- hello-agents
- Jul 10, 2026
- llm_agents
- Jun 23, 2025
Categories
- hello-agents
- AI Agents, LLM Frameworks
- llm_agents
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- hello-agents
- Very active (96%)
- llm_agents
- Dormant (18%)
Days since push
- hello-agents
- 0d
- llm_agents
- 382d
Open issues (now)
- hello-agents
- 144
- llm_agents
- 3
Owner type
- hello-agents
- Organization
- llm_agents
- User
Security scan
- hello-agents
- No lockfile
- llm_agents
- 32 low (32 low)
Full report
- hello-agents
- Trust report
- llm_agents
- Trust report
Choose hello-agents if…
- License: hello-agents is Other, llm_agents is MIT.
- Requirements: Min 4 GB RAM; Python knowledge assumed.
- Tags unique to hello-agents: llm, 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 llm_agents if…
- License: llm_agents is MIT, hello-agents is Other.
- Tags unique to llm_agents: llms, deep-learning, machine-learning, python.
- Leaner open-issue backlog (3).
When NOT to use llm_agents
- Last GitHub push was 383 days ago (dormant maintenance, Jun 23, 2025). Validate activity before betting a new project on llm_agents.
- 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.
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 (mpaepper/llm_agents) · observed Jul 11, 2026
- GitHub forks (mpaepper/llm_agents) · observed Jul 11, 2026
- Last push (mpaepper/llm_agents) · observed Jun 23, 2025
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: hello-agents 65k · llm_agents 1.1k (synced Jul 11, 2026).
Common questions
- What is the difference between hello-agents and llm_agents?
- hello-agents: Course on building intelligent agents from scratch. llm_agents: Build agents which are controlled by LLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose hello-agents over llm_agents?
- Choose hello-agents over llm_agents when License: hello-agents is Other, llm_agents is MIT; Requirements: Min 4 GB RAM; Python knowledge assumed; Tags unique to hello-agents: llm, 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 llm_agents over hello-agents?
- Choose llm_agents over hello-agents when License: llm_agents is MIT, hello-agents is Other; Tags unique to llm_agents: llms, deep-learning, machine-learning, python; Leaner open-issue backlog (3).
- 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 llm_agents?
- Last GitHub push was 383 days ago (dormant maintenance, Jun 23, 2025). Validate activity before betting a new project on llm_agents. 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.
- Is hello-agents or llm_agents more popular on GitHub?
- hello-agents has more GitHub stars (65,432 vs 1,050). Stars measure visibility, not whether either tool fits your constraints.
- Are hello-agents and llm_agents open source?
- Yes - both are open-source projects on GitHub (hello-agents: Other, llm_agents: MIT).
- Where can I find alternatives to hello-agents or llm_agents?
- GraphCanon lists graph-backed alternatives at hello-agents alternatives and llm_agents alternatives (hello-agents markdown twin, llm_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, hello-agents or llm_agents?
- hello-agents: Very active. llm_agents: Dormant. 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 llm_agents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hello-agents trust report; llm_agents trust report.