Organizing Agents’ memory at scale: Namespace design patterns in AgentCore Memory

This article explains how to design namespace hierarchies in Amazon Bedrock AgentCore Memory for organizing AI agent long-term memory at scale.

• Namespaces are hierarchical paths organizing memory records, similar to file system directories
• Scope semantic and preference memories to actors for cross-session consolidation
• Scope summaries and episodes to sessions since they're conversation-specific
• Use namespace field for exact match retrieval; namespacePath for hierarchical retrieval
• Three retrieval APIs: RetrieveMemoryRecords (semantic search), ListMemoryRecords (enumeration), GetMemoryRecord (direct lookup)
• IAM policies control namespace access using bedrock-agentcore:namespace and bedrock-agentcore:namespacePath condition keys
• Design patterns support multi-tenant isolation and granular access control

Effective namespace design enables precise memory retrieval, clean data isolation, and IAM-based access control for AI agents.