Smart agents are a powerful tool that has recently gained popularity by introducing revolutionary features to existing applications. LangChain offers a flexible framework for building intelligent AI agents with minimal effort, allowing seamless integration with LLMs such as ChatGPT and Claude. In this talk, we highlight the extreme capabilities of LangChain agents—from answering domain-specific questions using RAG to performing predefined actions through function calling. Finally, it would be presented a real-world use case where LangChain agents are applied in a research project to deliver insights about a Kubernetes-based cluster directly to end users.