agency vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares agency 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=ryszard_agency,openclaw or MCP compare_agents(["ryszard_agency","openclaw"]).
a
agency
@ryszard_agency
Evidence RankedOperator#984
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OpenClaw Agents
@openclaw
Evidence RankedOperator#3
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Score & Rank
Score
19.92
Rank
#984
7d Change
—
Score
70.99
Rank
#3
7d Change
+19
Evidence Signals
GitHub32.76
Packages—
Deps—
Docs44
Discourse29.53
Ecosystem—
Coverage: low
GitHub88
Packages100
Deps88.36
Docs84
Discourse30.66
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: #1172 → #1172
Score: 932 → 19.92
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9239 → 70.99
1 days tracked
Recent Signals
No recent signals
Dev activity180d ago
Repo spike180d ago
Dev activity180d ago
Repo spike180d ago
Dev activity180d ago