Smol Developer vs DSPy Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares Smol Developer 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=smoldev,dspyagents or MCP compare_agents(["smoldev","dspyagents"]).
Smol Developer
@smoldev
Evidence RankedBuilder#1122
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DSPy Agents
@dspyagents
Evidence RankedFramework#3
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Score & Rank
Score
15.9
Rank
#1122
7d Change
+21
Score
73.03
Rank
#3
7d Change
+5
Evidence Signals
GitHub—
Packages—
Deps—
Docs—
Discourse—
Ecosystem30.84
Coverage: very_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: #29 → #29
Score: 7860 → 15.9
1 days tracked
→ Flat
Rank: #92 → #92
Score: 380 → 73.03
1 days tracked
Recent Signals
ecosystem_connected58d ago
Collaboration70d ago
Ecosystem mention77d ago
Launch buzz84d ago
Repo spike27d ago
Repo spike27d ago
Dev activity28d ago
Repo spike28d ago
Repo spike28d ago