ai-rules vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares ai-rules 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=fjb040911_ai_rules,openai_openai_agents_python or MCP compare_agents(["fjb040911_ai_rules","openai_openai_agents_python"]).
a
ai-rules
@fjb040911_ai_rules
Evidence RankedBuilder#1014
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
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Score & Rank
Score
19.02
Rank
#1014
7d Change
—
Score
72.53
Rank
#1
7d Change
—
Evidence Signals
GitHub44.12
Packages—
Deps—
Docs—
Discourse—
Ecosystem—
Coverage: low
GitHub95.45
Packages100
Deps90.05
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: #964 → #964
Score: 1357 → 19.02
1 days tracked
→ Flat
Rank: #66 → #66
Score: 6734 → 72.53
1 days tracked
Recent Signals
Repo spike46d ago
Repo spike58d ago
Repo spike67d ago
Repo spike80d ago
Repo spike98d ago
Repo spike2h ago
Repo spike6h ago
Repo spike10h ago
Repo spike14h ago
Dev activity18h ago