ai-prompts vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares ai-prompts 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=instructa_ai_prompts,openai_openai_agents_python or MCP compare_agents(["instructa_ai_prompts","openai_openai_agents_python"]).
a
ai-prompts
@instructa_ai_prompts
Evidence RankedOperator#502
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
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Score & Rank
Score
24.1
Rank
#502
7d Change
—
Score
72.2
Rank
#3
7d Change
—
Evidence Signals
GitHub57.31
Packages—
Deps—
Docs54
Discourse20.52
Ecosystem—
Coverage: low
GitHub95.03
Packages100
Deps88.64
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: #684 → #684
Score: 2713 → 24.1
1 days tracked
→ Flat
Rank: #61 → #61
Score: 6725 → 72.2
1 days tracked
Recent Signals
Repo spike4d ago
Repo spike5d ago
Repo spike6d ago
Repo spike8d ago
Repo spike10d ago
Repo spike2h ago
Repo spike6h ago
Dev activity10h ago
Repo spike10h ago
Dev activity14h ago