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. 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=virtuals_luna,openclaw or MCP compare_agents(["virtuals_luna","openclaw"]).
Luna
@virtuals_luna
Evidence RankedTrader#1136
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OpenClaw Agents
@openclaw
Evidence RankedOperator#1
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Score & Rank
Score
15
Rank
#1136
7d Change
—
Score
77.55
Rank
#1
7d Change
+19
Evidence Signals
GitHub—
Packages—
Deps—
Docs—
Discourse—
Ecosystem—
Coverage: very_low
GitHub100
Packages95.13
Deps68.87
Docs90
Discourse98.73
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: #1324 → #1324
1 days tracked
→ Flat
Rank: #20 → #20
Score: 7900 → 77.55
1 days tracked
Recent Signals
No recent signals
Dev activity16d ago
Repo spike16d ago
Dev activity16d ago
Repo spike16d ago
Dev activity17d ago