ragflow vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares ragflow 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=infiniflow_ragflow,openclaw or MCP compare_agents(["infiniflow_ragflow","openclaw"]).
r
ragflow
@infiniflow_ragflow
Evidence RankedBuilder#712
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OpenClaw Agents
@openclaw
Indexed · Awaiting EvidenceOperator#28
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Score & Rank
Score
20.94
Rank
#712
7d Change
—
Score
7900
Rank
#28
7d Change
+19
Evidence Signals
GitHub—
Packages—
Deps—
Docs84
Discourse27.28
Ecosystem—
Coverage: low
Not evidence-ranked yet. How evidence ranking works →
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Indexed · Awaiting Evidence
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #288 → #288
1 days tracked
→ Flat
Rank: #28 → #28
Score: 7900 → 7900
1 days tracked
Recent Signals
No recent signals
Dev activity27d ago
Repo spike27d ago
Dev activity27d ago
Repo spike27d ago
Dev activity28d ago