Home/Compare/hello-agents vs CL4R1T4S

Comparison

hello-agents vs CL4R1T4S

Verdict

Pick hello-agents when license: hello-agents is Other, CL4R1T4S is AGPL-3.0; pick CL4R1T4S when license: CL4R1T4S is AGPL-3.0, hello-agents is Other.

Markdown twin · hello-agents alternatives · CL4R1T4S alternatives

GraphCanon updated 1d

hello-agents logo

hello-agents

datawhalechina/hello-agents

65kpushed Jul 10, 2026
vs
CL4R1T4S logo

CL4R1T4S

elder-plinius/CL4R1T4S

45kpushed Jun 15, 2026

Trust & integrity

Signalhello-agentsCL4R1T4S
Maintenance
Very active (0d since push)
As of 1d · github_public_v1
Active (26d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Organization account
As of 1d · github_public_v1
Not a fork · Personal account
As of 1d · github_public_v1
Security (OSV)
No lockfile
As of 1d · none
No lockfile
As of 1d · none

Tagline

hello-agents
Course on building intelligent agents from scratch
CL4R1T4S
LEAKED SYSTEM PROMPTS FOR CHATGPT, CLAUDE, GEMINI, GROK, PERPLEXITY, CURSOR, LOVABLE, REPLIT, AND MORE! - AI SYSTEMS TRANSPARENCY FOR ALL! 👐

Stars

hello-agents
65k
CL4R1T4S
45k

Forks

hello-agents
8.1k
CL4R1T4S
9.2k

Open issues

hello-agents
144
CL4R1T4S
118

Language

hello-agents
Python
CL4R1T4S
-

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.
CL4R1T4S
-

Persona

hello-agents
-
CL4R1T4S
-

Runtime

hello-agents
-
CL4R1T4S
-

License

hello-agents
hello-agents is covered under an unconventional license which may require further review before usage.
CL4R1T4S
AGPL-3.0

Last pushed

hello-agents
Jul 10, 2026
CL4R1T4S
Jun 15, 2026

Categories

hello-agents
AI Agents, LLM Frameworks
CL4R1T4S
AI Agents, LLM Frameworks

Trust and health

Maintenance

hello-agents
Very active (96%)
CL4R1T4S
Active (82%)

Days since push

hello-agents
0d
CL4R1T4S
26d

Open issues (now)

hello-agents
144
CL4R1T4S
118

Owner type

hello-agents
Organization
CL4R1T4S
User

Full report

hello-agents
Trust report
CL4R1T4S
Trust report

Choose hello-agents if…

  • License: hello-agents is Other, CL4R1T4S is AGPL-3.0.
  • 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 CL4R1T4S if…

  • License: CL4R1T4S is AGPL-3.0, hello-agents is Other.
  • Tags unique to CL4R1T4S: agents, ai, chatgpt, gemini.
  • Leaner open-issue backlog (118).

When NOT to use CL4R1T4S

  • 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 on cards: hello-agents 65k · CL4R1T4S 45k (synced Jul 11, 2026).

Common questions

What is the difference between hello-agents and CL4R1T4S?
hello-agents: Course on building intelligent agents from scratch. CL4R1T4S: LEAKED SYSTEM PROMPTS FOR CHATGPT, CLAUDE, GEMINI, GROK, PERPLEXITY, CURSOR, LOVABLE, REPLIT, AND MORE! - AI SYSTEMS TRANSPARENCY FOR ALL! 👐. See the comparison table for live GitHub stats and shared categories.
When should I choose hello-agents over CL4R1T4S?
Choose hello-agents over CL4R1T4S when License: hello-agents is Other, CL4R1T4S is AGPL-3.0; 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 CL4R1T4S over hello-agents?
Choose CL4R1T4S over hello-agents when License: CL4R1T4S is AGPL-3.0, hello-agents is Other; Tags unique to CL4R1T4S: agents, ai, chatgpt, gemini; Leaner open-issue backlog (118).
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 CL4R1T4S?
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 CL4R1T4S more popular on GitHub?
hello-agents has more GitHub stars (65,432 vs 45,233). Stars measure visibility, not whether either tool fits your constraints.
Are hello-agents and CL4R1T4S open source?
Yes - both are open-source projects on GitHub (hello-agents: Other, CL4R1T4S: AGPL-3.0).
Where can I find alternatives to hello-agents or CL4R1T4S?
GraphCanon lists graph-backed alternatives at hello-agents alternatives and CL4R1T4S alternatives (hello-agents markdown twin, CL4R1T4S 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 CL4R1T4S?
hello-agents: Very active. CL4R1T4S: 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 CL4R1T4S?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hello-agents trust report; CL4R1T4S trust report.