1) Start with the Problem: Why Do AI Agents Need Memory? Most AI agents fail not because of poor models—but because they forget. Imagine a customer support agent that helps you troubleshoot a problem, then completely forgets the conversation when you return an hour later. Or a personal assistant that asks for your preferences repeatedly because…
Introduction Imagine an AI that doesn’t just guess the answer but thinks through problems step by step, searches for information when it doesn’t know something, and adjusts its approach based on what it finds. This is the essence of the ReAct pattern – a revolutionary prompting paradigm that has become the foundation of modern AI agents . Developed…
Introduction Large language models like ChatGPT are impressive. They can write essays, answer questions, and generate code. But they have a fundamental limitation: they only know what they were trained on. Ask a question about your company’s internal documents, your customer data, or the latest news from yesterday, and they will either admit ignorance or—worse—hallucinate…