Artificial Intelligence (AI) agents are becoming vital across various sectors, but their ability to remember instructions poses a challenge. Enhancing memory retention in AI can lead to more effective systems. Memory retention refers to AI’s capacity to store and recall information, crucial for applications in customer service, healthcare, and robotics. Challenges include information overload, dynamic environments, and limited contextual understanding. Researchers propose methods like hierarchical memory structures, reinforcement learning, and contextual memory encoding to improve retention. Advancements in these areas promise increased efficiency, better user interactions, and broader applications in fields like education and entertainment, unlocking AI’s full potential.