A comprehensive catalog of all architectural patterns available for building AWS Bedrock AgentCore multi-agent systems, with detailed benefits, trade-offs, implementation guidance, cost comparisons, and evolution paths.
After working extensively with AWS Bedrock AgentCore to build containerized AI agents on a platform team, I want to break down its three core components — Runtime, Gateway, and Memory — how they work together, and practical patterns for deploying them with Terraform.
A deep dive into how Amazon Bedrock Guardrails work — covering content filters, PII detection, denied topics, input/output filtering, strength levels, and real-world examples of how guardrails protect your AI agents in production.