Building Multi-Agent Systems: From Concepts to Collaboration with LangGraph and CrewAI
In this session, programmers will learn how to design and implement Multi-Agent Systems (MAS) to create smarter, collaborative workflows. We’ll start with an introduction to MAS, covering core principles and real-world use cases. Then, we’ll dive into popular frameworks like LangGraph for agent communication and CrewAI for building and coordinating collaborative agents. Finally, you’ll explore the design and implementation of multi-agent workflows, equipping you with practical tools and strategies to automate complex tasks efficiently.
By the end, you’ll gain a clear understanding of how to build MAS solutions that scale and simplify problem-solving for real-world applications. 🚀
Speaker(s)
Ali Khyatti
CEO @Thinkable Morocco | CTO @Plotdot AI
I am the CEO of Thinkable Morocco and CTO of Plotdot AI, where I lead the development of cutting-edge AI solutions. At Thinkable Morocco, I focus on building a Multi-Agent System No-Code Tool that automates complex workflows and accelerates software creation.
At Plotdot AI, I oversee the development of an AI-powered screenwriting assistant that transforms ideas into fully-fledged scripts. By streamlining the creative process, we empower writers to focus on storytelling while our tools handle structure, plot development, and character creation.
I also contribute to the AI ecosystem through AI Crafters, helping professionals leverage AI tools to enhance productivity and innovation.
Passionate about advancing AI adoption and fostering collaboration, I actively engage in promoting AI growth within Morocco’s thriving tech community.