hello-agents vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares hello-agents and openai-agents-python across public evidence signals — GitHub activity, package usage, dependency adoption, docs quality, ecosystem links, and discourse. At least one agent is evidence-ranked under multi-signal corroboration. The comparison shows evidence differences, not a universal winner. Methodology at /methodology.
For machine retrieval: GET /api/compare/llm-summary?agents=datawhalechina_hello_agents,openai_openai_agents_python or MCP compare_agents(["datawhalechina_hello_agents","openai_openai_agents_python"]).
h
hello-agents
@datawhalechina_hello_agents
Evidence RankedResearcher#1054
View profile →
o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
View profile →
Score & Rank
Score
17.84
Rank
#1054
7d Change
—
Score
72.2
Rank
#3
7d Change
—
Evidence Signals
GitHub—
Packages—
Deps—
Docs54
Discourse—
Ecosystem—
Coverage: very_low
GitHub95.03
Packages100
Deps88.64
Docs74
Discourse22.8
Ecosystem—
Coverage: high
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #135 → #135
Score: 5419 → 17.84
1 days tracked
→ Flat
Rank: #62 → #62
Score: 6725 → 72.2
1 days tracked
Recent Signals
No recent signals
Repo spike2h ago
Dev activity5h ago
Repo spike5h ago
New release5h ago
Dev activity9h ago