steel-browser vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares steel-browser 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=steel_dev_steel_browser,openai_openai_agents_python or MCP compare_agents(["steel_dev_steel_browser","openai_openai_agents_python"]).
s
steel-browser
@steel_dev_steel_browser
Evidence RankedOperator#259
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openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
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Score & Rank
Score
29.9
Rank
#259
7d Change
—
Score
73.84
Rank
#1
7d Change
—
Evidence Signals
GitHub77.56
Packages—
Deps—
Docs87
Discourse16.67
Ecosystem—
Coverage: low
GitHub95.77
Packages100
Deps90.8
Docs84
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: #259 → #259
Score: 4950 → 29.9
1 days tracked
→ Flat
Rank: #73 → #73
Score: 6742 → 73.84
1 days tracked
Recent Signals
Repo spike47d ago
Repo spike48d ago
Dev activity49d ago
Repo spike49d ago
Dev activity59d ago
Dev activity3h ago
Repo spike3h ago
Dev activity7h ago
Repo spike7h ago
Dev activity19h ago