agentmesh vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares agentmesh 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=google_agentmesh,openclaw or MCP compare_agents(["google_agentmesh","openclaw"]).
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agentmesh
@google_agentmesh
Evidence RankedBuilder#717
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OpenClaw Agents
@openclaw
Evidence RankedOperator#3
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Score & Rank
Score
23.26
Rank
#717
7d Change
—
Score
70.91
Rank
#3
7d Change
+19
Evidence Signals
GitHub69.53
Packages—
Deps—
Docs—
Discourse—
Ecosystem—
Coverage: low
GitHub88
Packages100
Deps87.9
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: #443 → #443
Score: 4501 → 23.26
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9238 → 70.91
1 days tracked
Recent Signals
Dev activity20m ago
Repo spike20m ago
Dev activity1d ago
Repo spike1d ago
Dev activity1d ago
Dev activity152d ago
Repo spike152d ago
Dev activity152d ago
Repo spike152d ago
Dev activity152d ago