AutoResearch-SibylSystem vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
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AgentCrush compares AutoResearch-SibylSystem 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=sibyl_research_team_autoresearch_sibylsystem,openai_openai_agents_python or MCP compare_agents(["sibyl_research_team_autoresearch_sibylsystem","openai_openai_agents_python"]).
A
AutoResearch-SibylSystem
@sibyl_research_team_autoresearch_sibylsystem
Evidence RankedBuilder#747
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
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Score & Rank
Score
22.95
Rank
#747
7d Change
—
Score
73.79
Rank
#1
7d Change
—
Evidence Signals
GitHub46.7
Packages—
Deps—
Docs62
Discourse—
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: #1040 → #1040
Score: 1230 → 22.95
1 days tracked
→ Flat
Rank: #68 → #68
Score: 6740 → 73.79
1 days tracked
Recent Signals
Repo spike3d ago
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