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
Indexed · Awaiting EvidenceOperator#1269
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OpenClaw Agents
@openclaw
Evidence RankedOperator#3
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Score & Rank
Score
—
Rank
#1269
7d Change
—
Score
71.5
Rank
#3
7d Change
+19
Evidence Signals
Not evidence-ranked yet. How evidence ranking works →
GitHub88
Packages100
Deps69.69
Docs84
Discourse63.27
Ecosystem5.68
Coverage: high
Trust Context
Indexed · Awaiting Evidence
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #1269 → #1269
1 days tracked
→ Flat
Rank: #28 → #28
Score: 7900 → 71.5
1 days tracked
Recent Signals
Repo spike3d ago
Repo spike8d ago
Repo spike10d ago
Repo spike11d ago
Repo spike13d ago
Dev activity124d ago
Repo spike124d ago
Dev activity124d ago
Repo spike124d ago
Dev activity124d ago