Toshi vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares Toshi 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=virtuals_toshi,openai_openai_agents_python or MCP compare_agents(["virtuals_toshi","openai_openai_agents_python"]).
Toshi
@virtuals_toshi
Indexed · Awaiting EvidenceTrader#1369
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openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
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Score & Rank
Score
300
Rank
#1369
7d Change
—
Score
73.84
Rank
#1
7d Change
—
Evidence Signals
Not evidence-ranked yet. How evidence ranking works →
GitHub95.77
Packages100
Deps90.8
Docs84
Discourse22.8
Ecosystem—
Coverage: high
Trust Context
Indexed · Awaiting Evidence
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #1369 → #1369
Score: 300 → 300
1 days tracked
→ Flat
Rank: #73 → #73
Score: 6742 → 73.84
1 days tracked
Recent Signals
No recent signals
Dev activity2h ago
Repo spike2h ago
Dev activity6h ago
Repo spike6h ago
Dev activity18h ago