Extending conversational memory in Kiro CLI using Amazon Bedrock AgentCore Memory
Not a toy demo. AWS just shipped persistent memory for terminal-based AI agents—here's how to wire it up.
Why it matters
AWS Bedrock's AgentCore Memory is now productizable for developers building agent-first workflows. This technical integration post signals AWS's infrastructure-first approach to agent persistence, a critical capability for enterprise deployment beyond single-turn interactions.
The key facts
10 to knowAmazon Bedrock AgentCore Memory is a fully managed service for agent memory persistence
Custom MCP (Model Context Protocol) server implementation demonstrated
Kiro CLI integration enables terminal-native agent interaction with memory retention
Features include conversation context storage, retrieval, memory usage monitoring, and infrastructure management
Published May 19, 2026 on AWS ML blog—official product documentation/tutorial
Amazon Bedrock AgentCore Memory is a fully managed service for agent conversation retention
Custom Model Context Protocol (MCP) server integration enables memory extension in Kiro CLI
Supports conversation context storage, retrieval, memory monitoring, and infrastructure management
Removes engineering overhead for building context-aware AI agent interactions
Published May 19, 2026 on AWS Machine Learning blog
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: In this post, we demonstrate how you can extend the conversational memory of Kiro CLI by implementing a custom Model Context Protocol (MCP) server that integrates with Amazon Bedrock AgentCore Memory. You can use Kiro CLI to interact with AI agents of Kiro directly from your terminal. Amazon…