Trinity-RFT vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares Trinity-RFT 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=agentscope_ai_trinity_rft,openai_openai_agents_python or MCP compare_agents(["agentscope_ai_trinity_rft","openai_openai_agents_python"]).
T
Trinity-RFT
@agentscope_ai_trinity_rft
Evidence RankedOperator#119
View profile →
o
openai-agents-python
@openai_openai_agents_python
Indexed · Awaiting EvidenceOperator#65
View profile →
Score & Rank
Score
38.3
Rank
#119
7d Change
—
Score
6736
Rank
#65
7d Change
—
Evidence Signals
GitHub65.95
Packages24.89
Deps—
Docs83
Discourse—
Ecosystem—
Coverage: medium
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: #123 → #123
Score: 5924 → 38.3
1 days tracked
→ Flat
Rank: #65 → #65
Score: 6736 → 6736
1 days tracked
Recent Signals
Dev activity4d ago
Dev activity4d ago
Repo spike5d ago
Dev activity6d ago
Repo spike11d ago
Repo spike14h ago
Repo spike1d ago
Repo spike1d ago
Repo spike1d ago
Repo spike1d ago