Build agents and RAG workflows on AWS with LangChain. These samples show how to connect LangChain, LangGraph, Deep Agents, and LangSmith with AWS services such as Amazon Bedrock, Bedrock Knowledge Bases, Amazon S3, and AgentCore.
| Example | What it shows | Stack |
|---|---|---|
| deepagents-aws-tour | Notebook-first tour of Deep Agents on AWS using Bedrock, Bedrock Knowledge Bases, AgentCore Code Interpreter, S3-backed state, and AWS-region LangSmith | Deep Agents + LangGraph + langchain-aws + Bedrock + LangSmith |
| agentcore-payments | A payment-enabled LangChain agent with Coinbase testnet onboarding, automatic x402 handling, infrastructure-enforced budgets, and required LangSmith tracing, datasets, and evaluations | LangChain + LangGraph + langchain-aws + Bedrock + AgentCore Payments + LangSmith |
Clone the repo and change into an example:
git clone https://github.com/langchain-samples/langchain-aws-samples.git
cd langchain-aws-samples/examples/<example-name>From there, follow that example's own README for setup, AWS credentials, LangSmith configuration, and run commands.
This project is licensed under the MIT License.