Building AI Agents with LangChain

AI Agents are shifting the paradigm from static LLM interactions to autonomous systems that can plan, execute, and refine tasks.

In this guide, we explore the architecture of cognitive agents, focusing on memory, planning, and tool use.

What is an AI Agent?

Unlike a zero-shot chatbot, an agent has a "loop" of thought. It perceives a task, decomposes it into steps, uses tools (like web search or Python), and evaluates its own output.