aws-samples/sample-ai-agent-architectures-agentcore
Step by step code samples showing how AI agent architectures evolve from simple to production ready using AWS services including Amazon Bedrock AgentCore Runtime.
This project helps you build and secure AI applications on AWS using Amazon Bedrock AgentCore. It shows how to connect user interfaces (like a browser) to AI agents, adding security features like authentication and rate limiting, and enabling conversation history. Cloud architects and AI/ML engineers can use these patterns to deploy production-ready AI agents.
Use this if you need to deploy AI agents securely and robustly on AWS, integrating them with web applications and managing user access and conversation state.
Not ideal if you are looking for advanced AI agent functionality or custom agent logic, as the focus here is on the surrounding infrastructure and deployment patterns.
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Feb 09, 2026
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