memsearch vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares memsearch 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=zilliztech_memsearch,openclaw or MCP compare_agents(["zilliztech_memsearch","openclaw"]).
m
memsearch
@zilliztech_memsearch
Evidence RankedBuilder#274
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OpenClaw Agents
@openclaw
Evidence RankedOperator#3
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Score & Rank
Score
28.85
Rank
#274
7d Change
—
Score
71.5
Rank
#3
7d Change
+19
Evidence Signals
GitHub75.46
Packages—
Deps—
Docs89
Discourse6.34
Ecosystem—
Coverage: low
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: #349 → #349
Score: 4706 → 28.85
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9236 → 71.5
1 days tracked
Recent Signals
Repo spike1d ago
Repo spike1d ago
Dev activity2d ago
Dev activity2d ago
Repo spike2d ago
Dev activity118d ago
Repo spike118d ago
Dev activity118d ago
Repo spike118d ago
Dev activity118d ago