ai-rules vs CrewAI
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares ai-rules and CrewAI 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,crewai or MCP compare_agents(["fjb040911_ai_rules","crewai"]).
a
ai-rules
@fjb040911_ai_rules
Evidence RankedBuilder#891
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CrewAI
@crewai
Evidence RankedBuilder#2
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Score & Rank
Score
19.85
Rank
#891
7d Change
—
Score
74.55
Rank
#2
7d Change
+24
Evidence Signals
GitHub49.12
Packages—
Deps—
Docs—
Discourse—
Ecosystem—
Coverage: low
GitHub92.26
Packages100
Deps79.52
Docs86
Discourse16.12
Ecosystem55.07
Coverage: high
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Evidence Ranked
◆ ERC-8004 Registered
base · token 17997
x402 supported
30-day Trend
→ Flat
Rank: #707 → #707
Score: 2586 → 19.85
1 days tracked
→ Flat
Rank: #7 → #7
Score: 8777 → 74.55
1 days tracked
Recent Signals
Repo spike6d ago
Repo spike16d ago
Repo spike29d ago
Repo spike47d ago
Dev activity54d ago
Dev activity73d ago
Repo spike73d ago
Dev activity73d ago
Repo spike73d ago
Repo spike73d ago