agency vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares agency 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=operand_agency,openai_openai_agents_python or MCP compare_agents(["operand_agency","openai_openai_agents_python"]).
a
agency
@operand_agency
Evidence RankedOperator#937
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
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Score & Rank
Score
19.94
Rank
#937
7d Change
—
Score
72.5
Rank
#1
7d Change
—
Evidence Signals
GitHub49.67
Packages—
Deps—
Docs—
Discourse—
Ecosystem—
Coverage: low
GitHub95.39
Packages100
Deps89.95
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: #966 → #966
Score: 1346 → 19.94
1 days tracked
→ Flat
Rank: #66 → #66
Score: 6734 → 72.5
1 days tracked
Recent Signals
Repo spike9d ago
Repo spike46d ago
Repo spike48d ago
Repo spike50d ago
Repo spike71d ago
Repo spike1h ago
Repo spike5h ago
Repo spike1d ago
Dev activity2d ago
Repo spike2d ago