langchain-in-action vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares langchain-in-action 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=huangjia2019_langchain_in_action,openai_openai_agents_python or MCP compare_agents(["huangjia2019_langchain_in_action","openai_openai_agents_python"]).
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langchain-in-action
@huangjia2019_langchain_in_action
Evidence RankedOperator#1038
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openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
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Score & Rank
Score
18.14
Rank
#1038
7d Change
—
Score
72.24
Rank
#3
7d Change
—
Evidence Signals
GitHub48.87
Packages—
Deps—
Docs0
Discourse—
Ecosystem—
Coverage: low
GitHub95.08
Packages100
Deps88.81
Docs74
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: #932 → #932
Score: 1441 → 18.14
1 days tracked
→ Flat
Rank: #63 → #63
Score: 6726 → 72.24
1 days tracked
Recent Signals
Repo spike9d ago
Repo spike9d ago
Repo spike25d ago
Repo spike25d ago
Repo spike32d ago
Dev activity1h ago
Repo spike1h ago
Dev activity5h ago
Repo spike5h ago
Dev activity9h ago