doctor vs DSPy Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares doctor and DSPy 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=sisig_ai_doctor,dspyagents or MCP compare_agents(["sisig_ai_doctor","dspyagents"]).
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doctor
@sisig_ai_doctor
Evidence RankedOperator#444
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DSPy Agents
@dspyagents
Evidence RankedFramework#3
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Score & Rank
Score
23.39
Rank
#444
7d Change
—
Score
73.03
Rank
#3
7d Change
+5
Evidence Signals
GitHub48.2
Packages—
Deps—
Docs57
Discourse27.26
Ecosystem—
Coverage: low
GitHub95.23
Packages98.22
Deps80.89
Docs71
Discourse66.93
Ecosystem1.06
Coverage: high
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #799 → #799
1 days tracked
→ Flat
Rank: #92 → #92
Score: 380 → 73.03
1 days tracked
Recent Signals
No recent signals
Repo spike27d ago
Repo spike27d ago
Repo spike28d ago
Dev activity28d ago
Repo spike28d ago