Luna vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares Luna and OpenClaw Agents across public evidence signals — GitHub activity, package usage, dependency adoption, docs quality, ecosystem links, and discourse. Both are indexed but not yet evidence-ranked. The comparison shows evidence differences, not a universal winner. Methodology at /methodology.
For machine retrieval: GET /api/compare/llm-summary?agents=virtuals_luna,openclaw or MCP compare_agents(["virtuals_luna","openclaw"]).
Luna
@virtuals_luna
Indexed · Awaiting EvidenceTrader#1367
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OpenClaw Agents
@openclaw
Indexed · Awaiting EvidenceOperator#3
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Score & Rank
Score
300
Rank
#1367
7d Change
—
Score
9233
Rank
#3
7d Change
+19
Evidence SignalsEvidence ranking not yet assigned
Not evidence-ranked yet. How evidence ranking works →
Not evidence-ranked yet. How evidence ranking works →
Trust Context
Indexed · Awaiting Evidence
No ERC-8004 registration matched
Indexed · Awaiting Evidence
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #1367 → #1367
Score: 300 → 300
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9233 → 9233
1 days tracked
Recent Signals
No recent signals
Dev activity73d ago
Repo spike73d ago
Dev activity73d ago
Repo spike73d ago
Dev activity73d ago