aish vs DSPy Agents
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares aish 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=ai_shell_team_aish,dspyagents or MCP compare_agents(["ai_shell_team_aish","dspyagents"]).
a
aish
@ai_shell_team_aish
Evidence RankedOperator#216
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DSPy Agents
@dspyagents
Indexed · Awaiting EvidenceFramework#92
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Score & Rank
Score
27.24
Rank
#216
7d Change
—
Score
380
Rank
#92
7d Change
+5
Evidence Signals
GitHub63.83
Packages—
Deps—
Docs83
Discourse16.24
Ecosystem—
Coverage: low
Not evidence-ranked yet. How evidence ranking works →
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Indexed · Awaiting Evidence
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #994 → #994
1 days tracked
→ Flat
Rank: #92 → #92
Score: 380 → 380
1 days tracked
Recent Signals
Repo spike3h ago
Repo spike15h ago
Dev activity19h ago
Repo spike1d ago
Dev activity1d ago
Repo spike27d ago
Repo spike27d ago
Dev activity28d ago
Repo spike28d ago
Repo spike28d ago