core vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares core 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=cheshire_cat_ai_core,openclaw or MCP compare_agents(["cheshire_cat_ai_core","openclaw"]).
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core
@cheshire_cat_ai_core
Evidence RankedOperator#125
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OpenClaw Agents
@openclaw
Evidence RankedOperator#3
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Score & Rank
Score
35.61
Rank
#125
7d Change
—
Score
71.5
Rank
#3
7d Change
+19
Evidence Signals
GitHub70.61
Packages29.76
Deps—
Docs30
Discourse29.72
Ecosystem—
Coverage: medium
GitHub88
Packages100
Deps69.69
Docs84
Discourse63.27
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: #437 → #437
Score: 4445 → 35.61
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9236 → 71.5
1 days tracked
Recent Signals
Repo spike2d ago
Repo spike9d ago
Repo spike17d ago
Repo spike17d ago
Repo spike18d ago
Dev activity119d ago
Repo spike119d ago
Dev activity119d ago
Repo spike119d ago
Dev activity119d ago