ROMA vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares ROMA 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=sentient_agi_roma,openclaw or MCP compare_agents(["sentient_agi_roma","openclaw"]).
R
ROMA
@sentient_agi_roma
Evidence RankedOperator#321
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OpenClaw Agents
@openclaw
Evidence RankedOperator#1
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Score & Rank
Score
25.15
Rank
#321
7d Change
—
Score
77.07
Rank
#1
7d Change
+19
Evidence Signals
GitHub69.75
Packages—
Deps—
Docs57
Discourse5.24
Ecosystem—
Coverage: low
GitHub93
Packages100
Deps69.36
Docs90
Discourse97.92
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: #837 → #837
Score: 1853 → 25.15
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9231 → 77.07
1 days tracked
Recent Signals
Repo spike3d ago
Repo spike3d ago
Repo spike4d ago
Repo spike5d ago
Repo spike5d ago
Dev activity38d ago
Repo spike38d ago
Dev activity38d ago
Repo spike38d ago
Dev activity38d ago