ai-rules vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares ai-rules and OpenClaw Agents across public evidence signals — GitHub activity, package usage, dependency adoption, docs quality, ecosystem links, and discourse. Both are indexed but not yet evidence-ranked. The comparison shows evidence differences, not a universal winner. Methodology at /methodology.
For machine retrieval: GET /api/compare/llm-summary?agents=fjb040911_ai_rules,openclaw or MCP compare_agents(["fjb040911_ai_rules","openclaw"]).
a
ai-rules
@fjb040911_ai_rules
Indexed · Awaiting EvidenceBuilder#149
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OpenClaw Agents
@openclaw
Indexed · Awaiting EvidenceOperator#3
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Score & Rank
Score
5815
Rank
#149
7d Change
—
Score
9238
Rank
#3
7d Change
+19
Evidence SignalsEvidence ranking not yet assigned
Not evidence-ranked yet. How evidence ranking works →
Not evidence-ranked yet. How evidence ranking works →
Trust Context
Indexed · Awaiting Evidence
No ERC-8004 registration matched
Indexed · Awaiting Evidence
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #149 → #149
Score: 5815 → 5815
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9238 → 9238
1 days tracked
Recent Signals
Dev activity20d ago
Repo spike20d ago
Repo spike43d ago
Repo spike91d ago
Repo spike103d ago
Dev activity169d ago
Repo spike169d ago
Dev activity169d ago
Repo spike169d ago
Dev activity169d ago