devlooper vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares devlooper 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=modal_labs_devlooper,openclaw or MCP compare_agents(["modal_labs_devlooper","openclaw"]).
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devlooper
@modal_labs_devlooper
Evidence RankedOperator#1058
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OpenClaw Agents
@openclaw
Evidence RankedOperator#3
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Score & Rank
Score
18.8
Rank
#1058
7d Change
—
Score
70.96
Rank
#3
7d Change
+19
Evidence Signals
GitHub41.74
Packages—
Deps—
Docs25
Discourse17.18
Ecosystem—
Coverage: low
GitHub88
Packages100
Deps88.17
Docs84
Discourse30.66
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: #975 → #975
Score: 1337 → 18.8
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9238 → 70.96
1 days tracked
Recent Signals
Repo spike64d ago
Repo spike93d ago
Repo spike140d ago
Repo spike141d ago
Repo spike156d ago
Dev activity164d ago
Repo spike164d ago
Dev activity164d ago
Repo spike164d ago
Dev activity164d ago