This video explores implementing long-term memory in AI chatbots using Amazon Bedrock's Agents feature. It demonstrates how to create an agent with persistent memory capabilities both through the Amazon Bedrock console and programmatically using Python and boto3. The presenter explains why traditional large language models lack persistent memory and shows how Bedrock Agents can retain information across separate chat sessions. The video provides a step-by-step guide for developers looking to enhance AI applications with cross-session memory features, covering memory storage, retrieval, and integration into the AI's decision-making process. A practical demonstration showcases how the agent remembers user preferences from previous conversations, highlighting the potential for more personalized and context-aware AI interactions.