Home/Compare/hello-agents vs awesome-hacking-lists

Comparison

hello-agents vs awesome-hacking-lists

Verdict

Pick hello-agents when requirements: Min 4 GB RAM; Python knowledge assumed; pick awesome-hacking-lists when tags unique to awesome-hacking-lists: agents, ai, aiagent, awesome-list.

Markdown twin · hello-agents alternatives · awesome-hacking-lists alternatives

GraphCanon updated today

hello-agents logo

hello-agents

datawhalechina/hello-agents

65kpushed Jul 10, 2026
vs
awesome-hacking-lists logo

awesome-hacking-lists

taielab/awesome-hacking-lists

1.4kpushed Dec 4, 2025

Trust & integrity

Signalhello-agentsawesome-hacking-lists
Maintenance
Very active (0d since push)
As of today · github_public_v1
Slowing (219d 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 MCP manifest
As of today · mcp_manifest

Tagline

hello-agents
Course on building intelligent agents from scratch
awesome-hacking-lists
A curated collection of top-tier penetration testing tools and productivity utilities across multiple domains. Join us to explore, contribute, and enhance your hacking toolkit!

Stars

hello-agents
65k
awesome-hacking-lists
1.4k

Forks

hello-agents
8.1k
awesome-hacking-lists
264

Open issues

hello-agents
144
awesome-hacking-lists
2

Language

hello-agents
Python
awesome-hacking-lists
-

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.
awesome-hacking-lists
-

Persona

hello-agents
-
awesome-hacking-lists
-

Runtime

hello-agents
-
awesome-hacking-lists
-

License

hello-agents
hello-agents is covered under an unconventional license which may require further review before usage.
awesome-hacking-lists
-

Last pushed

hello-agents
Jul 10, 2026
awesome-hacking-lists
Dec 4, 2025

Categories

hello-agents
AI Agents, LLM Frameworks
awesome-hacking-lists
LLM Frameworks, AI Agents, Inference & Serving

Trust and health

Maintenance

hello-agents
Very active (96%)
awesome-hacking-lists
Slowing (36%)

Days since push

hello-agents
0d
awesome-hacking-lists
219d

Open issues (now)

hello-agents
144
awesome-hacking-lists
2

Owner type

hello-agents
Organization
awesome-hacking-lists
User

Security scan

hello-agents
No lockfile
awesome-hacking-lists
No MCP manifest

Full report

hello-agents
Trust report
awesome-hacking-lists
Trust report

Choose hello-agents if…

  • 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 awesome-hacking-lists if…

  • Tags unique to awesome-hacking-lists: agents, ai, aiagent, awesome-list.
  • Also covers Inference & Serving.
  • Leaner open-issue backlog (2).

When NOT to use awesome-hacking-lists

  • Last GitHub push was 219 days ago (slowing maintenance, Dec 4, 2025). Validate activity before betting a new project on awesome-hacking-lists.
  • 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 · awesome-hacking-lists 1.4k (synced Jul 11, 2026).

Common questions

What is the difference between hello-agents and awesome-hacking-lists?
hello-agents: Course on building intelligent agents from scratch. awesome-hacking-lists: A curated collection of top-tier penetration testing tools and productivity utilities across multiple domains. Join us to explore, contribute, and enhance your hacking toolkit!. See the comparison table for live GitHub stats and shared categories.
When should I choose hello-agents over awesome-hacking-lists?
Choose hello-agents over awesome-hacking-lists when 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 awesome-hacking-lists over hello-agents?
Choose awesome-hacking-lists over hello-agents when Tags unique to awesome-hacking-lists: agents, ai, aiagent, awesome-list; Also covers Inference & Serving; Leaner open-issue backlog (2).
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 awesome-hacking-lists?
Last GitHub push was 219 days ago (slowing maintenance, Dec 4, 2025). Validate activity before betting a new project on awesome-hacking-lists. 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 awesome-hacking-lists more popular on GitHub?
hello-agents has more GitHub stars (65,432 vs 1,362). Stars measure visibility, not whether either tool fits your constraints.
Are hello-agents and awesome-hacking-lists open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to hello-agents or awesome-hacking-lists?
GraphCanon lists graph-backed alternatives at hello-agents alternatives and awesome-hacking-lists alternatives (hello-agents markdown twin, awesome-hacking-lists 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 awesome-hacking-lists?
hello-agents: Very active. awesome-hacking-lists: 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 awesome-hacking-lists?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hello-agents trust report; awesome-hacking-lists trust report.