In this video, Mervin Praison introduces Llama Agents, a multi-agent framework by Llama Index, designed to transform enterprise data into production-ready AI applications. Llama Agents operate as AI agents as a service, allowing each agent to run on separate URLs and be accessed whenever needed. Mervin explains how Llama Agents differ from other frameworks like Crew AI and Autogen by being asynchronous-first, enabling tasks to be executed without waiting for other agents to complete. This feature speeds up processes and improves efficiency. He provides a step-by-step guide to setting up and running Llama Agents, including installing required packages, exporting the OpenAI API key, creating tools and agents, and monitoring agents using a built-in dashboard. The video also covers hosting agents as a service on platforms like Google Cloud and AWS, and integrating human-in-the-loop collaboration. Mervin demonstrates how to create sequential and hierarchical processes within Llama Agents, showcasing practical examples and the benefits of using this framework for AI automation. The video concludes with a discussion on the potential of Llama Agents and a promise of future content on similar topics.