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LangChain vs LangGraph for Production Agents

LangChain and LangGraph are complementary. Use create_agent for standard loops; use StateGraph when you need durable control.

Direct answer

In 2026 this is an abstraction decision inside one stack, not a framework war. LangChain create_agent runs on the LangGraph runtime. Start there for standard tool-calling agents and middleware. Drop to LangGraph StateGraph when you need branching, durable checkpoints, human-in-the-loop interrupts, or multi-agent topologies. See LangChain and LangGraph.

When create_agent is enough

  • Linear or lightly branched tool loops
  • Middleware for PII redaction, summarization, or approvals
  • RAG assembly with ecosystem connectors

When you need StateGraph

  • Explicit conditional routing and loops
  • Durable execution that must survive restarts
  • Approval interrupts at arbitrary nodes
  • Multi-agent coordination with typed shared state

Production default

Use a persistent checkpointer (Postgres or equivalent). In-memory checkpoints are for demos. Pair either path with traces and offline evals that block merges.

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Górecka 1
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VAT-ID: PL7831720203
REGON: 360404804
KRS: 0000534235

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