Introduction The evolution of artificial intelligence has moved beyond single-model systems into collaborative, multi-agent ecosystems. These systems simulate teamwork—where multiple AI agents communicate, reason, and solve problems together. One of the most powerful frameworks enabling this paradigm is AutoGen, developed by Microsoft. AutoGen allows developers to create multi-agent conversations where agents can: This guide by
Introduction In 2026, artificial intelligence is no longer a futuristic concept—it is the engine powering everything from your morning commute to your doctor’s diagnostic tools. But despite its omnipresence, confusion about what AI actually is—and what it isn’t—persists. For every breakthrough like autonomous research agents, there are equally persistent myths about AI’s capabilities and limitations. This article
Introduction As artificial intelligence continues to evolve, the shift from simple prompt-based systems to stateful, multi-agent workflows has become a defining trend in modern AI development. While frameworks like LangChain introduced developers to agent-based architectures, the need for scalability, persistence, and complex decision-making has led to the rise of LangGraph. This tutorial by MHTECHIN is