SuperAGI vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares SuperAGI 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=superagi,openai_openai_agents_python or MCP compare_agents(["superagi","openai_openai_agents_python"]).
SuperAGI
@superagi
Evidence RankedBuilder#91
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openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#2
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Score & Rank
Score
39.88
Rank
#91
7d Change
+22
Score
72.3
Rank
#2
7d Change
—
Evidence Signals
GitHub75.89
Packages—
Deps—
Docs59
Discourse11.19
Ecosystem56.95
Coverage: medium
GitHub95.16
Packages100
Deps89.07
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: #136 → #136
Score: 5471 → 39.88
1 days tracked
→ Flat
Rank: #62 → #62
Score: 6728 → 72.3
1 days tracked
Recent Signals
Repo spike90d ago
Repo spike90d ago
Repo spike92d ago
Repo spike92d ago
Repo spike92d ago
Repo spike44m ago
Dev activity4h ago
Repo spike4h ago
Dev activity8h ago
Repo spike8h ago