goose vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares goose 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=block_goose,openai_openai_agents_python or MCP compare_agents(["block_goose","openai_openai_agents_python"]).
g
goose
@block_goose
Indexed · Awaiting EvidenceBuilder#159
View profile →
o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
View profile →
Score & Rank
Score
5366
Rank
#159
7d Change
—
Score
72.5
Rank
#1
7d Change
—
Evidence Signals
Not evidence-ranked yet. How evidence ranking works →
GitHub95.39
Packages100
Deps89.95
Docs74
Discourse22.8
Ecosystem—
Coverage: high
Trust Context
Indexed · Awaiting Evidence
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #159 → #159
Score: 5366 → 5366
1 days tracked
→ Flat
Rank: #66 → #66
Score: 6734 → 72.5
1 days tracked
Recent Signals
No recent signals
Repo spike2h ago
Repo spike6h ago
Repo spike1d ago
Dev activity2d ago
Repo spike2d ago