What agents are, how they think, and why they matter
AI agents are one of the most transformative ideas in modern computing, yet the term gets used loosely enough to mean almost anything. This category cuts through the hype. You will find clear explanations of what an AI agent actually is, how planning and memory work under the hood, how agents differ from standard chatbots, and why the combination of reasoning, tools, and memory changes what software can do. Start here if you are new to agents or want a solid conceptual foundation.
AI agents are programs that perceive their environment, plan a sequence of steps, use tools to act, and loop back until a goal is achieved — unlike a one-shot LLM call that just predicts the next token.
AI agents think through a repeating observe-think-act loop, using chain-of-thought reasoning to plan which tool to call next and memory systems to avoid starting from scratch each step.
Chatbots answer; AI agents act. Chatbots are stateless and single-turn; agents are stateful and multi-step. The line blurs when chatbots get tools, but the core architectural difference still shapes what each is good for.