mobile-use vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares mobile-use and OpenClaw Agents 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=minitap_ai_mobile_use,openclaw or MCP compare_agents(["minitap_ai_mobile_use","openclaw"]).
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mobile-use
@minitap_ai_mobile_use
Evidence RankedOperator#233
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OpenClaw Agents
@openclaw
Evidence RankedOperator#3
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Score & Rank
Score
29.54
Rank
#233
7d Change
—
Score
71.5
Rank
#3
7d Change
+19
Evidence Signals
GitHub75.89
Packages—
Deps—
Docs79
Discourse23.68
Ecosystem—
Coverage: low
GitHub88
Packages100
Deps69.69
Docs84
Discourse63.27
Ecosystem5.68
Coverage: high
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #341 → #341
Score: 4725 → 29.54
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9236 → 71.5
1 days tracked
Recent Signals
Repo spike3d ago
Repo spike5d ago
Repo spike6d ago
Repo spike6d ago
Repo spike7d ago
Dev activity118d ago
Repo spike118d ago
Dev activity119d ago
Repo spike119d ago
Dev activity119d ago