Utilizing a language model as a reasoning engine, agents integrate with two primary components: tools and memory. This concept involves leveraging language models to facilitate reasoning tasks, where agents serve as intermediaries connecting these models with tools for processing and memory for retaining information. By harnessing the capabilities of language models, agents enhance reasoning capabilities in various applications, enabling tasks such as decision-making, problem-solving, and information retrieval. This framework underscores the role of language models in augmenting cognitive processes and enabling intelligent interactions between humans and machines.