multi-agent-shogun vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares multi-agent-shogun 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=yohey_w_multi_agent_shogun,openai_openai_agents_python or MCP compare_agents(["yohey_w_multi_agent_shogun","openai_openai_agents_python"]).
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multi-agent-shogun
@yohey_w_multi_agent_shogun
Evidence RankedBuilder#774
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openai-agents-python
@openai_openai_agents_python
Indexed · Awaiting EvidenceOperator#68
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Score & Rank
Score
22.59
Rank
#774
7d Change
—
Score
6740
Rank
#68
7d Change
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Evidence Signals
GitHub65.55
Packages—
Deps—
Docs—
Discourse—
Ecosystem—
Coverage: low
Not evidence-ranked yet. How evidence ranking works →
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Indexed · Awaiting Evidence
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #676 → #676
Score: 2777 → 22.59
1 days tracked
→ Flat
Rank: #68 → #68
Score: 6740 → 6740
1 days tracked
Recent Signals
Repo spike15d ago
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