Agentic AI Frameworks Explained: Workflows, Multi-Agent, & Production

IBM Technology

Summary

Este vídeo explica cómo elegir el framework adecuado para desarrollar sistemas de Inteligencia Artificial agente. El autor clasifica los proyectos de IA en cinco categorías principales (flujos lineales, autónomos, basados en roles, de producción y prototipado rápido) y recomienda las herramientas más aptas para cada uno, como LangChain, CrewAI, AutoGen o LangFlow, ayudando al desarrollador a dejar de perderse entre tantas opciones de código abierto.

Topics covered

  • DefiniciĂłn y propĂłsito de frameworks agente
  • Sistemas de flujos lineales

+4 more topics (full content when you follow the channel)

Transcript excerpt

Hi, let me guess. The world around you is abuzz with agentic  AI systems and their massive potential. So you decide to go off and  build an agentic system. You look for the best  available framework out there. And now, all of a sudden,  you have 17 GitHub tabs open, five medium blocks bookmarked, and you  are still clueless on how to proceed. Yes, we've all been there. LangChain, LangGraph, Crew AI, AutoGen, Semantic Kernel. There are so many powerful frameworks  out there, but which one would you pick? And in order to answer that question, you first need to understand which type  of agentic AI system you want to build. In this video, we are going to cover five types  of most common agent AI projects or systems. We are going discuss an example for  each of those and also list frameworks which are best suited for those types  of agentic AI systems and projects. First, let's get some basic…