llm vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares llm 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=graniet_llm,openclaw or MCP compare_agents(["graniet_llm","openclaw"]).
l
llm
@graniet_llm
Evidence RankedOperator#873
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OpenClaw Agents
@openclaw
Evidence RankedOperator#1
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Score & Rank
Score
20.06
Rank
#873
7d Change
—
Score
76.11
Rank
#1
7d Change
+19
Evidence Signals
GitHub50.34
Packages—
Deps—
Docs—
Discourse—
Ecosystem—
Coverage: low
GitHub93
Packages100
Deps69.58
Docs90
Discourse88.98
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: #730 → #730
Score: 2478 → 20.06
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9233 → 76.11
1 days tracked
Recent Signals
Repo spike1d ago
Repo spike3d ago
Repo spike4d ago
Repo spike7d ago
Repo spike15d ago
Dev activity73d ago
Repo spike73d ago
Dev activity73d ago
Repo spike73d ago
Dev activity73d ago