19 · LangChain + AgentCore Integration

This shows LangChain + Bedrock AgentCore integration — the best of both worlds: LangChain's developer experience and ecosystem plus AgentCore's enterprise-grade runtime.

How it works

1. 1Build layer: LangChain provides chains, LangGraph, tools, prompts and memory.
2. 2Deploy to the AgentCore run layer (Runtime, Memory, Tools/MCP, Identity, Gateway, Observability).
3. 3Invoke models on the Bedrock model layer (Claude, Titan, Nova, custom).
4. 4Telemetry, logs and metrics flow to LangSmith + CloudWatch.

Key points

• Integration options: run LangGraph on AgentCore Runtime, call AgentCore tools, or a hybrid.
• Keep system prompts small and focused; use structured output and guardrails.
• Best DX plus enterprise security and cost optimisation.
• LangChain builds; AgentCore runs.

Why it matters

You get LangChain's fast, flexible development and AgentCore's secure, scalable production runtime — together, enterprise-grade agents without giving up developer speed.

Frequently asked questions

Why combine LangChain and AgentCore?

LangChain gives flexibility and ecosystem; AgentCore gives the secure, scalable runtime for production.

What's the recommended setup?

Often a hybrid: build with LangChain/LangGraph and deploy onto AgentCore Runtime with its tools and memory.