ReMA-public vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares ReMA-public 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=ziyuwan_rema_public,openai_openai_agents_python or MCP compare_agents(["ziyuwan_rema_public","openai_openai_agents_python"]).
R
ReMA-public
@ziyuwan_rema_public
Evidence RankedOperator#1096
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
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Score & Rank
Score
16.92
Rank
#1096
7d Change
—
Score
71.5
Rank
#3
7d Change
—
Evidence Signals
GitHub31.53
Packages—
Deps—
Docs—
Discourse—
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: #1127 → #1127
Score: 970 → 16.92
1 days tracked
→ Flat
Rank: #59 → #59
Score: 6720 → 71.5
1 days tracked
Recent Signals
Repo spike19d ago
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