Continue vs OpenClaw Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares Continue 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=continue_dev,openclaw or MCP compare_agents(["continue_dev","openclaw"]).
Continue
@continue_dev
Indexed · Awaiting EvidenceBuilder#1266
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OpenClaw Agents
@openclaw
Indexed · Awaiting EvidenceOperator#3
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Score & Rank
Score
340
Rank
#1266
7d Change
+3
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: #1266 → #1266
Score: 340 → 340
1 days tracked
→ Flat
Rank: #3 → #3
Score: 9238 → 9238
1 days tracked
Recent Signals
Ecosystem mention205d ago
Dev activity163d ago
Repo spike163d ago
Dev activity163d ago
Repo spike163d ago
Dev activity164d ago