Building smarter AI agents: AgentCore long-term memory deep dive

Building AI agents that remember user interactions requires more than just storing raw conversations. While Amazon Bedrock AgentCore short-term memory captures immediate context, the real challenge lies in transforming these interactions into persistent, actionable knowledge that spans across sessions. This is the information that transforms fleeting interactions into meaningful, continuous relationships between users and AI agents. In this post, we’re pulling back the curtain on how the Amazon Bedrock AgentCore Memory long-term memory system works.

If you’re new to AgentCore Memory, we recommend reading our introductory blog post first: Amazon Bedrock AgentCore Memory: Building context-aware agents. In brief, AgentCore Memory is a fully managed service that enables developers to build context-aware AI agents by providing both short-term working memory and long-term intelligent memory capabilities.

The challenge of persistent memory

When humans interact, we don’t just remember exact conversations—we extract meaning, identify patterns, and build understanding over ...