open-multi-agent vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares open-multi-agent 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=jackchen_me_open_multi_agent,openai_openai_agents_python or MCP compare_agents(["jackchen_me_open_multi_agent","openai_openai_agents_python"]).
o
open-multi-agent
@jackchen_me_open_multi_agent
Evidence RankedOperator#65
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#2
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Score & Rank
Score
43.14
Rank
#65
7d Change
—
Score
72.46
Rank
#2
7d Change
—
Evidence Signals
GitHub85.91
Packages35.07
Deps—
Docs80
Discourse6.34
Ecosystem—
Coverage: medium
GitHub95.34
Packages100
Deps89.8
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: #94 → #94
Score: 6418 → 43.14
1 days tracked
→ Flat
Rank: #65 → #65
Score: 6732 → 72.46
1 days tracked
Recent Signals
Repo spike2h ago
Dev activity18h ago
Repo spike18h ago
Dev activity1d ago
Repo spike1d ago
Repo spike2h ago
Repo spike6h ago
Dev activity10h ago
Repo spike10h ago
Repo spike14h ago