AWS Strands - AgentCore Shorterm Memory Integration

Prerequisites

Prior Knowledge of

• Strands Agents
• Python 3.1x
• AWS Credentials with access to Bedrock and related components
• Access to Anthropic Claude Haiku 4.5
• AgentCore Short-term Memory with MemoryManager, AgentInitializedEvent and MessageAddedEvent hooks

We will use MemoryManager to store short term conversational history and retrieve n number of conversations
This is a simple AWS Strands agents that uses a web search tool to query and store the results.
Initialize agents with conversation history using session management
Can use this to help Migrate from MemoryClient to MemoryManager architecture

This example demonstrates Short Term Memory of AgentCore. Below is the high level architecture.

Project Structure

STEP1: Requirements.txt - Packages Needed

STEP2: Packages Installation

STEP3: Import all packages

STEP4: Memory Manager Initialization(Memory_Manager.py)

STEP5: Memory SessionManager Initialization(Memory_Manager.py)

STEP6.1: MemoryHookProvider Initialization - Part 1

STEP6.2: MemoryHookProvider Initialization - Part 2

STEP7: Agent Tools Definition (Agent_Tools.py)

STEP8: Agent Initialization (Personal_Agent.py)

AGENT Testing in Terminal