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=open_multi_agent_open_multi_agent,openai_openai_agents_python or MCP compare_agents(["open_multi_agent_open_multi_agent","openai_openai_agents_python"]).
o
open-multi-agent
@open_multi_agent_open_multi_agent
Evidence RankedOperator#146
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
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Score & Rank
Score
30.34
Rank
#146
7d Change
—
Score
71.5
Rank
#3
7d Change
—
Evidence Signals
GitHub85.54
Packages—
Deps—
Docs73
Discourse19.96
Ecosystem—
Coverage: low
GitHub94.81
Packages100
Deps86.69
Docs71
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: #224 → #224
Score: 4905 → 30.34
1 days tracked
→ Flat
Rank: #59 → #59
Score: 6720 → 71.5
1 days tracked
Recent Signals
Repo spike4h ago
Repo spike8h ago
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Repo spike53m ago
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