Home/Compare/hello-agents vs WeaveBench

Comparison

hello-agents vs WeaveBench

Verdict

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

Markdown twin · hello-agents alternatives · WeaveBench alternatives

GraphCanon updated today

hello-agents logo

hello-agents

datawhalechina/hello-agents

65kpushed Jul 10, 2026
vs
WeaveBench logo

WeaveBench

weavebench/WeaveBench

151pushed Jul 8, 2026

Trust & integrity

Signalhello-agentsWeaveBench
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (3d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
16 low (16 low)
As of today · osv@v1

Tagline

hello-agents
Course on building intelligent agents from scratch
WeaveBench
WeaveBench: A Long-Horizon, Real-World Benchmark for Computer-Use Agents with Hybrid Interfaces

Stars

hello-agents
65k
WeaveBench
151

Forks

hello-agents
8.1k
WeaveBench
0

Open issues

hello-agents
144
WeaveBench
3

Language

hello-agents
Python
WeaveBench
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.
WeaveBench
-

Persona

hello-agents
-
WeaveBench
-

Runtime

hello-agents
-
WeaveBench
-

License

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

Last pushed

hello-agents
Jul 10, 2026
WeaveBench
Jul 8, 2026

Categories

hello-agents
AI Agents, LLM Frameworks
WeaveBench
AI Agents, Vector Databases, LLM Frameworks

Trust and health

Days since push

hello-agents
0d
WeaveBench
3d

Open issues (now)

hello-agents
144
WeaveBench
3

Security scan

hello-agents
No lockfile
WeaveBench
16 low (16 low)

Full report

hello-agents
Trust report
WeaveBench
Trust report

Choose hello-agents if…

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

  • License: WeaveBench is MIT, hello-agents is Other.
  • Tags unique to WeaveBench: computer-use-agent, benchmark, python, agent-as-judge.
  • Also covers Vector Databases.

When NOT to use WeaveBench

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
  • 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 · WeaveBench 151 (synced Jul 11, 2026).

Common questions

What is the difference between hello-agents and WeaveBench?
hello-agents: Course on building intelligent agents from scratch. WeaveBench: WeaveBench: A Long-Horizon, Real-World Benchmark for Computer-Use Agents with Hybrid Interfaces. See the comparison table for live GitHub stats and shared categories.
When should I choose hello-agents over WeaveBench?
Choose hello-agents over WeaveBench when License: hello-agents is Other, WeaveBench 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 WeaveBench over hello-agents?
Choose WeaveBench over hello-agents when License: WeaveBench is MIT, hello-agents is Other; Tags unique to WeaveBench: computer-use-agent, benchmark, python, agent-as-judge; Also covers Vector Databases.
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 WeaveBench?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is hello-agents or WeaveBench more popular on GitHub?
hello-agents has more GitHub stars (65,432 vs 151). Stars measure visibility, not whether either tool fits your constraints.
Are hello-agents and WeaveBench open source?
Yes - both are open-source projects on GitHub (hello-agents: Other, WeaveBench: MIT).
Where can I find alternatives to hello-agents or WeaveBench?
GraphCanon lists graph-backed alternatives at hello-agents alternatives and WeaveBench alternatives (hello-agents markdown twin, WeaveBench 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 WeaveBench?
hello-agents: Very active. WeaveBench: 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 WeaveBench?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hello-agents trust report; WeaveBench trust report.