auto-dev vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares auto-dev 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=phodal_auto_dev,openclaw or MCP compare_agents(["phodal_auto_dev","openclaw"]).
a
auto-dev
@phodal_auto_dev
Evidence RankedOperator#283
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OpenClaw Agents
@openclaw
Evidence RankedOperator#1
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Score & Rank
Score
27.29
Rank
#283
7d Change
—
Score
76.67
Rank
#1
7d Change
+19
Evidence Signals
GitHub80.12
Packages—
Deps—
Docs62
Discourse5.24
Ecosystem—
Coverage: low
GitHub93
Packages100
Deps69.48
Docs90
Discourse94.15
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: #273 → #273
Score: 4828 → 27.29
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9232 → 76.67
1 days tracked
Recent Signals
Repo spike11h ago
Repo spike5d ago
Repo spike6d ago
Repo spike7d ago
Repo spike10d ago
Dev activity59d ago
Repo spike59d ago
Dev activity59d ago
Repo spike59d ago
Dev activity59d ago