autoMate vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares autoMate 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=yuruotong1_automate,openclaw or MCP compare_agents(["yuruotong1_automate","openclaw"]).
a
autoMate
@yuruotong1_automate
Evidence RankedOperator#389
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OpenClaw Agents
@openclaw
Evidence RankedOperator#1
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Score & Rank
Score
27.44
Rank
#389
7d Change
—
Score
74.5
Rank
#1
7d Change
+19
Evidence Signals
GitHub79.4
Packages—
Deps—
Docs40
Discourse30.54
Ecosystem—
Coverage: low
GitHub88
Packages100
Deps87.7
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: #314 → #314
Score: 4799 → 27.44
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9237 → 74.5
1 days tracked
Recent Signals
Repo spike1d ago
Repo spike7d ago
Repo spike8d ago
Repo spike11d ago
Repo spike12d ago
Dev activity139d ago
Repo spike139d ago
Dev activity140d ago
Repo spike140d ago
Dev activity140d ago