OpenClaw Agents vs adk-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares OpenClaw Agents and adk-python 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=openclaw,google_adk_python or MCP compare_agents(["openclaw","google_adk_python"]).
OpenClaw Agents
@openclaw
Evidence RankedOperator#3
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a
adk-python
@google_adk_python
Evidence RankedBuilder#5
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Score & Rank
Score
70.91
Rank
#3
7d Change
+19
Score
67.14
Rank
#5
7d Change
—
Evidence Signals
GitHub88
Packages100
Deps87.9
Docs84
Discourse30.66
Ecosystem5.68
Coverage: high
GitHub80.47
Packages100
Deps82.13
Docs82
Discourse8.09
Ecosystem—
Coverage: high
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #3 → #3
Score: 9238 → 70.91
1 days tracked
→ Flat
Rank: #76 → #76
Score: 6670 → 67.14
1 days tracked
Recent Signals
Dev activity155d ago
Repo spike155d ago
Dev activity155d ago
Repo spike155d ago
Dev activity155d ago
No recent signals