Comparison
hello-agents vs LLM-Hub
Verdict
Pick hello-agents when hello-agents is primarily Python; LLM-Hub is C++; pick LLM-Hub when lLM-Hub is primarily C++; hello-agents is Python.
Markdown twin · hello-agents alternatives · LLM-Hub alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | hello-agents | LLM-Hub |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1d · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | No lockfile As of today · none |
Tagline
- hello-agents
- Course on building intelligent agents from scratch
- LLM-Hub
- Local AI Assistant on your phone
Stars
- hello-agents
- 65k
- LLM-Hub
- 491
Forks
- hello-agents
- 8.1k
- LLM-Hub
- 103
Open issues
- hello-agents
- 144
- LLM-Hub
- 31
Language
- hello-agents
- Python
- LLM-Hub
- C++
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-Hub
- -
Persona
- hello-agents
- -
- LLM-Hub
- -
Runtime
- hello-agents
- -
- LLM-Hub
- -
License
- hello-agents
- hello-agents is covered under an unconventional license which may require further review before usage.
- LLM-Hub
- Other
Last pushed
- hello-agents
- Jul 10, 2026
- LLM-Hub
- Jul 11, 2026
Categories
- hello-agents
- AI Agents, LLM Frameworks
- LLM-Hub
- AI Agents, Inference & Serving, LLM Frameworks
Trust and health
Open issues (now)
- hello-agents
- 144
- LLM-Hub
- 31
Owner type
- hello-agents
- Organization
- LLM-Hub
- User
Full report
- hello-agents
- Trust report
- LLM-Hub
- Trust report
Choose hello-agents if…
- hello-agents is primarily Python; LLM-Hub is C++.
- 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.
Choose LLM-Hub if…
- LLM-Hub is primarily C++; hello-agents is Python.
- Tags unique to LLM-Hub: ai, gemma3, gemma3n, gemma4.
- Also covers Inference & Serving.
When NOT to use LLM-Hub
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- 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 (timmyy123/LLM-Hub) · observed Jul 11, 2026
- GitHub forks (timmyy123/LLM-Hub) · observed Jul 11, 2026
- Last push (timmyy123/LLM-Hub) · observed Jul 11, 2026
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: hello-agents 65k · LLM-Hub 491 (synced Jul 11, 2026).
Common questions
- What is the difference between hello-agents and LLM-Hub?
- hello-agents: Course on building intelligent agents from scratch. LLM-Hub: Local AI Assistant on your phone. See the comparison table for live GitHub stats and shared categories.
- When should I choose hello-agents over LLM-Hub?
- Choose hello-agents over LLM-Hub when hello-agents is primarily Python; LLM-Hub is C++; 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 choose LLM-Hub over hello-agents?
- Choose LLM-Hub over hello-agents when LLM-Hub is primarily C++; hello-agents is Python; Tags unique to LLM-Hub: ai, gemma3, gemma3n, gemma4; Also covers Inference & Serving.
- 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-Hub?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. 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-Hub more popular on GitHub?
- hello-agents has more GitHub stars (65,432 vs 491). Stars measure visibility, not whether either tool fits your constraints.
- Are hello-agents and LLM-Hub open source?
- Yes - both are open-source projects on GitHub (hello-agents: Other, LLM-Hub: Other).
- Where can I find alternatives to hello-agents or LLM-Hub?
- GraphCanon lists graph-backed alternatives at hello-agents alternatives and LLM-Hub alternatives (hello-agents markdown twin, LLM-Hub 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-Hub?
- hello-agents: Very active. LLM-Hub: 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 hello-agents and LLM-Hub?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hello-agents trust report; LLM-Hub trust report.