DSPy Agents vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares DSPy Agents and openai-agents-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=dspyagents,openai_openai_agents_python or MCP compare_agents(["dspyagents","openai_openai_agents_python"]).
DSPy Agents
@dspyagents
Evidence RankedFramework#3
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openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#4
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Score & Rank
Score
71.13
Rank
#3
7d Change
+5
Score
70.31
Rank
#4
7d Change
—
Evidence Signals
GitHub88.23
Packages96.66
Deps80.91
Docs71
Discourse66.93
Ecosystem1.06
Coverage: high
GitHub94.73
Packages100
Deps81.02
Docs69
Discourse22.8
Ecosystem—
Coverage: high
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #93 → #93
Score: 380 → 71.13
1 days tracked
→ Flat
Rank: #1243 → #1243
1 days tracked
Recent Signals
Repo spike34d ago
Repo spike34d ago
Dev activity34d ago
Repo spike34d ago
Repo spike35d ago
Repo spike1h ago
Repo spike5h ago
Repo spike9h ago
Repo spike13h ago
Repo spike17h ago