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#102
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openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
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Score & Rank
Score
39.88
Rank
#102
7d Change
+22
Score
73.35
Rank
#1
7d Change
—
Evidence Signals
GitHub75.89
Packages—
Deps—
Docs59
Discourse11.19
Ecosystem56.95
Coverage: medium
GitHub95.52
Packages100
Deps90.18
Docs81
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: #151 → #151
Score: 5472 → 39.88
1 days tracked
→ Flat
Rank: #64 → #64
Score: 6736 → 73.35
1 days tracked
Recent Signals
Repo spike135d ago
Repo spike136d ago
Repo spike137d ago
Repo spike137d ago
Repo spike138d ago
Dev activity1d ago
Repo spike1d ago
Dev activity1d ago
Repo spike1d ago
Dev activity2d ago