goose vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares goose 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=block_goose,openclaw or MCP compare_agents(["block_goose","openclaw"]).
g
goose
@block_goose
Evidence RankedBuilder#1114
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OpenClaw Agents
@openclaw
Evidence RankedOperator#3
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Score & Rank
Score
17.78
Rank
#1114
7d Change
—
Score
70.96
Rank
#3
7d Change
+19
Evidence Signals
GitHub—
Packages—
Deps—
Docs54
Discourse19.38
Ecosystem—
Coverage: low
GitHub88
Packages100
Deps88.17
Docs84
Discourse30.66
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: #255 → #255
1 days tracked
→ Flat
Rank: #28 → #28
Score: 7900 → 70.96
1 days tracked
Recent Signals
No recent signals
Dev activity165d ago
Repo spike165d ago
Dev activity165d ago
Repo spike165d ago
Dev activity165d ago