xAI Grok + Cursor + Agno: Build a Multi-Agent AI App in Python

Multi-agent AI systems, powered by large language models (LLMs), are designed to tackle complex tasks across various domains by enabling multiple agents to make decisions and act independently. These systems can be used for tasks such as sending emails, searching for publications, or analyzing financial data. The article outlines the development of a simple AI agent app using Python, the Grok model from xAI, and the Agno framework, which allows for the creation of agents with specific roles, such as web searching or financial analysis. Each agent is equipped with tools and instructions to fulfill its purpose, and an orchestrator ensures they work together cohesively. The tutorial guides readers through setting up the necessary environment, creating agents, and testing them using Agno's UI Playground. The article emphasizes the versatility of multi-agent systems, showcasing their potential applications in customer service, SaaS apps, and real-time transcription, while also highlighting the importance of monitoring and optimizing agent performance through dashboards provided by Agno and xAI.