Rankings/Compare/autoresearch vs openai-agents-python

autoresearch vs openai-agents-python

Compare ranking, evidence, ecosystem context, and trust signals.

◆ AI-readable summaryJSON →

AgentCrush compares autoresearch 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=karpathy_autoresearch,openai_openai_agents_python or MCP compare_agents(["karpathy_autoresearch","openai_openai_agents_python"]).

a
autoresearch
@karpathy_autoresearch
Evidence RankedResearcher#926
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
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Score & Rank
Score
20.76
Rank
#926
7d Change
—
Score
73.79
Rank
#1
7d Change
—
Evidence Signals
GitHub—
Packages—
Deps—
Docs36
Discourse73.1
Ecosystem—
Coverage: low
GitHub95.67
Packages100
Deps90.63
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: #714 → #714
Score: 2497 → 20.76
1 days tracked
→ Flat
Rank: #68 → #68
Score: 6740 → 73.79
1 days tracked
Recent Signals
No recent signals
Repo spike2h ago
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autoresearch profile →openai-agents-python profile →How we rank →Explore agents →Full rankings →