Get Your Hands Dirty - AgentCore - Memory

Persistent Context with Bedrock AgentCore Memory Standard AI agents often suffer from "goldfish memory"—they forget everything once a session ends. Bedrock AgentCore Memory solves this by providing a managed vector-based storage layer that persists across different conversations. By integrating this with Strands Agents , you can create personalized assistants that remember user preferences, past decisions, and key semantic facts over days, weeks, or months. The framework supports multiple retrieval strategies, such as Summarization (to recap long histories), Preferences (to remember how a user likes their data formatted), and Semantic Facts (to store specific data points like "The user's favorite stock is AMZN"). This allows the agent to inject relevant long-term context into the prompt window only when needed, keeping the conversation efficient and relevant. A. Initializing a Managed Memory Store First, you create a memory resource in AgentCore. This setup defines how the agent should