Home/Compare/hello-agents vs AutoDefense

Comparison

hello-agents vs AutoDefense

Verdict

Pick hello-agents when license: hello-agents is Other, AutoDefense is MIT; pick AutoDefense when license: AutoDefense is MIT, hello-agents is Other.

Markdown twin · hello-agents alternatives · AutoDefense alternatives

GraphCanon updated today

hello-agents logo

hello-agents

datawhalechina/hello-agents

65kpushed Jul 10, 2026
vs
AutoDefense logo

AutoDefense

XHMY/AutoDefense

68pushed Jan 15, 2026

Trust & integrity

Signalhello-agentsAutoDefense
Maintenance
Very active (0d since push)
As of today · github_public_v1
Slowing (177d 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
No lockfile
As of today · none

Tagline

hello-agents
Course on building intelligent agents from scratch
AutoDefense
AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Stars

hello-agents
65k
AutoDefense
68

Forks

hello-agents
8.1k
AutoDefense
20

Open issues

hello-agents
144
AutoDefense
1

Language

hello-agents
Python
AutoDefense
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.
AutoDefense
-

Persona

hello-agents
-
AutoDefense
-

Runtime

hello-agents
-
AutoDefense
-

License

hello-agents
hello-agents is covered under an unconventional license which may require further review before usage.
AutoDefense
MIT

Last pushed

hello-agents
Jul 10, 2026
AutoDefense
Jan 15, 2026

Categories

hello-agents
AI Agents, LLM Frameworks
AutoDefense
LLM Frameworks, AI Agents, Inference & Serving

Trust and health

Maintenance

hello-agents
Very active (96%)
AutoDefense
Slowing (36%)

Days since push

hello-agents
0d
AutoDefense
177d

Open issues (now)

hello-agents
144
AutoDefense
1

Owner type

hello-agents
Organization
AutoDefense
User

Full report

hello-agents
Trust report
AutoDefense
Trust report

Choose hello-agents if…

  • License: hello-agents is Other, AutoDefense 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 AutoDefense if…

  • License: AutoDefense is MIT, hello-agents is Other.
  • Tags unique to AutoDefense: python.
  • Also covers Inference & Serving.

When NOT to use AutoDefense

  • Last GitHub push was 177 days ago (slowing maintenance, Jan 15, 2026). Validate activity before betting a new project on AutoDefense.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: hello-agents 65k · AutoDefense 68 (synced Jul 11, 2026).

Common questions

What is the difference between hello-agents and AutoDefense?
hello-agents: Course on building intelligent agents from scratch. AutoDefense: AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks. See the comparison table for live GitHub stats and shared categories.
When should I choose hello-agents over AutoDefense?
Choose hello-agents over AutoDefense when License: hello-agents is Other, AutoDefense 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 AutoDefense over hello-agents?
Choose AutoDefense over hello-agents when License: AutoDefense is MIT, hello-agents is Other; Tags unique to AutoDefense: python; 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 AutoDefense?
Last GitHub push was 177 days ago (slowing maintenance, Jan 15, 2026). Validate activity before betting a new project on AutoDefense. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. 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.
Is hello-agents or AutoDefense more popular on GitHub?
hello-agents has more GitHub stars (65,432 vs 68). Stars measure visibility, not whether either tool fits your constraints.
Are hello-agents and AutoDefense open source?
Yes - both are open-source projects on GitHub (hello-agents: Other, AutoDefense: MIT).
Where can I find alternatives to hello-agents or AutoDefense?
GraphCanon lists graph-backed alternatives at hello-agents alternatives and AutoDefense alternatives (hello-agents markdown twin, AutoDefense 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 AutoDefense?
hello-agents: Very active. AutoDefense: Slowing. 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 AutoDefense?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hello-agents trust report; AutoDefense trust report.