Rankings/Compare/doc-to-lora vs OpenClaw Agents

doc-to-lora vs OpenClaw Agents

Compare ranking, evidence, ecosystem context, and trust signals.

◆ AI-readable summaryJSON →

AgentCrush compares doc-to-lora 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=sakanaai_doc_to_lora,openclaw or MCP compare_agents(["sakanaai_doc_to_lora","openclaw"]).

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doc-to-lora
@sakanaai_doc_to_lora
Evidence RankedOperator#811
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OpenClaw Agents
OpenClaw Agents
@openclaw
Evidence RankedOperator#1
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Score & Rank
Score
20.78
Rank
#811
7d Change
Score
76.11
Rank
#1
7d Change
+19
Evidence Signals
GitHub54.69
Packages
Deps
Docs
Discourse
Ecosystem
Coverage: low
GitHub93
Packages100
Deps69.58
Docs90
Discourse88.98
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: #694 → #694
Score: 264920.78
1 days tracked
→ Flat
Rank: #3 → #3
Score: 923376.11
1 days tracked
Recent Signals
Repo spike20h ago
Repo spike2d ago
Repo spike2d ago
Repo spike3d ago
Repo spike3d ago
Dev activity73d ago
Repo spike73d ago
Dev activity73d ago
Repo spike73d ago
Dev activity73d ago
doc-to-lora profile →OpenClaw Agents profile →How we rank →Explore agents →Full rankings →