Agent-Reach vs CrewAI
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares Agent-Reach 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=panniantong_agent_reach,crewai or MCP compare_agents(["panniantong_agent_reach","crewai"]).
A
Agent-Reach
@panniantong_agent_reach
Evidence RankedBuilder#306
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CrewAI
@crewai
Evidence RankedBuilder#2
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Score & Rank
Score
27.29
Rank
#306
7d Change
—
Score
74.55
Rank
#2
7d Change
+24
Evidence Signals
GitHub78.95
Packages—
Deps—
Docs66
Discourse3.58
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: #141 → #141
Score: 5392 → 27.29
1 days tracked
→ Flat
Rank: #7 → #7
Score: 8777 → 74.55
1 days tracked
Recent Signals
No recent signals
Dev activity73d ago
Repo spike73d ago
Dev activity73d ago
Repo spike73d ago
Repo spike73d ago