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. 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=fjb040911_ai_rules,openclaw or MCP compare_agents(["fjb040911_ai_rules","openclaw"]).
a
ai-rules
@fjb040911_ai_rules
Evidence RankedBuilder#1014
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OpenClaw Agents
@openclaw
Evidence RankedOperator#3
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Score & Rank
Score
19.02
Rank
#1014
7d Change
—
Score
71.5
Rank
#3
7d Change
+19
Evidence Signals
GitHub44.12
Packages—
Deps—
Docs—
Discourse—
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: #964 → #964
Score: 1357 → 19.02
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9236 → 71.5
1 days tracked
Recent Signals
Repo spike46d ago
Repo spike58d ago
Repo spike67d ago
Repo spike80d ago
Repo spike98d ago
Dev activity124d ago
Repo spike124d ago
Dev activity124d ago
Repo spike124d ago
Dev activity124d ago