Welcome to Nate’s Notebook, a podcast about AI, by AI—entirely generated using Google’s NotebookLM. In this episode, we dive deep into the world of multi-agent AI systems, focusing on frameworks like CrewAI and OpenAI Swarm, which enable networks of AI agents to collaborate, solve complex problems, and automate workflows.
We explore the distinction between large language models (LLMs) and AI agents—while LLMs excel in generating language, agents are all about action and interaction. With CrewAI leading the way in production-ready environments and OpenAI Swarm offering experimental frameworks, we discuss the future potential and current limitations of these systems. Are AI agents ready for prime time, or are scalability and cost barriers too high?
From enterprise automation to cutting-edge experimental applications, multi-agent AI systems could reshape how we approach complex business processes. Tune in to discover where the technology stands today and what the future might hold for AI-driven automation.
Nate's Notebook: Agent Frameworks