LangChain Agents vs LangGraph
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares LangChain Agents and LangGraph 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=langchainagents,langgraph or MCP compare_agents(["langchainagents","langgraph"]).

LangChain Agents
@langchainagents
Evidence RankedFramework#21
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LangGraph
@langgraph
Evidence RankedBuilder#52
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Score & Rank
Score
50.91
Rank
#21
7d Change
+33
Score
42.6
Rank
#52
7d Change
+21
Evidence Signals
GitHub93
Packages—
Deps—
Docs69
Discourse37.95
Ecosystem85.22
Coverage: medium
GitHub89.19
Packages—
Deps—
Docs73
Discourse25.54
Ecosystem26.52
Coverage: medium
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #4 → #4
Score: 9069 → 50.91
1 days tracked
→ Flat
Rank: #5 → #5
Score: 8827 → 42.6
1 days tracked
Recent Signals
Repo spike47d ago
Dev activity47d ago
Repo spike47d ago
Repo spike47d ago
Dev activity47d ago
Repo spike47d ago
Repo spike47d ago
Repo spike47d ago
Dev activity47d ago
Repo spike47d ago