LangGraph vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares LangGraph 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=langgraph,openai_openai_agents_python or MCP compare_agents(["langgraph","openai_openai_agents_python"]).
LangGraph
@langgraph
Evidence RankedBuilder#50
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openai-agents-python
@openai_openai_agents_python
Indexed · Awaiting EvidenceOperator#59
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Score & Rank
Score
42.6
Rank
#50
7d Change
+21
Score
6720
Rank
#59
7d Change
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Evidence Signals
GitHub89.19
Packages—
Deps—
Docs73
Discourse25.54
Ecosystem26.52
Coverage: medium
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: #5 → #5
Score: 8826 → 42.6
1 days tracked
→ Flat
Rank: #59 → #59
Score: 6720 → 6720
1 days tracked
Recent Signals
Repo spike45d ago
Repo spike45d ago
Repo spike45d ago
Dev activity45d ago
Repo spike45d ago
Repo spike2h ago
Repo spike6h ago
Repo spike10h ago
Repo spike14h ago
Repo spike18h ago