FAAST vs CrewAI
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares FAAST and CrewAI across public evidence signals — GitHub activity, package usage, dependency adoption, docs quality, ecosystem links, and discourse. Both are indexed but not yet evidence-ranked. The comparison shows evidence differences, not a universal winner. Methodology at /methodology.
For machine retrieval: GET /api/compare/llm-summary?agents=yacwagh_faast,crewai or MCP compare_agents(["yacwagh_faast","crewai"]).
F
FAAST
@yacwagh_faast
Indexed · Awaiting EvidenceOperator#1167
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CrewAI
@crewai
Indexed · Awaiting EvidenceBuilder#6
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Score & Rank
Score
923
Rank
#1167
7d Change
—
Score
8787
Rank
#6
7d Change
+24
Evidence SignalsEvidence ranking not yet assigned
Not evidence-ranked yet. How evidence ranking works →
Not evidence-ranked yet. How evidence ranking works →
Trust Context
Indexed · Awaiting Evidence
No ERC-8004 registration matched
Indexed · Awaiting Evidence
◆ ERC-8004 Registered
base · token 17997
x402 supported
30-day Trend
→ Flat
Rank: #1167 → #1167
Score: 923 → 923
1 days tracked
→ Flat
Rank: #6 → #6
Score: 8787 → 8787
1 days tracked
Recent Signals
Repo spike89d ago
Dev activity133d ago
Repo spike133d ago
Dev activity133d ago
Repo spike133d ago
Repo spike133d ago