Joe Moura | Multi Agent Systems and CrewAI

Podcast Interview with Joao Moura: Exploring CrewAI and the Future of Multi-Agent Systems
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Links
🔥 Joao's FREE multi-agent systems course: www.deeplearning.ai/short-cou...
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In this episode, we dive deep into the world of multi-agent systems with Joao Moura, the CEO and founder of CrewAI, a pioneering framework for creating sophisticated AI agents. We explore the core aspects of CrewAI, from its inception to its current state, and discuss how it stands out in the rapidly evolving AI landscape.
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Timestamps:
0:00 Intro
5:17 What is CrewAI
8:08 Best workflows for automations
11:45 Inspiration behind CrewAI
13:15 How to create great CrewAI tools
18:21 The new paradigm of software
20:30 "I thought I was late for the game"
25:22 Design of CrewAI
27:58 Most difficult CrewAI feature to build
29:55 Why is memory so difficult?
33:28 How to put agents in production?
40:41 What is CrewAI+
48:30 Monitoring in CrewAI
50:38 AI will swipe out many jobs
57:18 AGI is coming
1:00:15 How to transition from SWE into AI?
1:11:30 Coming up on CrewAI
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Topics Covered:
- What is Crewai?
Joao explains the essence of Crewai, a robust framework designed to simplify the creation of multi-agent systems.
- Best Use Cases for Crewai
Discover the ideal scenarios and industries where Crewai shines, transforming complex workflows and enhancing automation.
- Inspiration Behind Crewai
Learn about the vision and motivation that drove Joao to develop Crewai, and how it aims to revolutionize AI agents.
- How to Create Great Crewai Tools
Tips and strategies from Joao on building effective and efficient tools within the Crewai framework.
- How Did You Get Started with Crewai?
A look into Joao's journey, from conceptualization to launching Crewai, and the challenges faced along the way.
- Design of the Software
An in-depth discussion on the architectural design and technical considerations that underpin Crewai.
- Most Difficult Aspects to Build Crewai
Joao shares the toughest hurdles encountered during the development of Crewai and how his team overcame them.
- Difficulties of Memory
Explore the complexities of memory management in multi-agent systems and how Crewai addresses these issues.
- How Crewai Plus Helps You Get to Production
Understand the advantages of Crewai Plus, the enhanced version of the framework, and how it facilitates seamless production deployment.
Join us for an insightful conversation with Joao Moura as we delve into the future of AI agents and the innovative solutions Crewai brings to the table. Whether you're an AI enthusiast, a developer, or someone interested in the latest advancements in multi-agent systems, this episode offers valuable insights and practical knowledge.

[@HyperUpscale]

Impressive advices from You and Joe Moura

[@Matepediaoficial]

I understood everything Thanks!

[@sr.modanez]

Caramba, top top top, Parabéns pela entrevista Alejandro, Esperamos o João aqui na Campus Party Sao Paulo e Goiania, Avante CrewAI 😍 👏👏👏👏👏👏👏👏👏👏

[@alejandro_ao]

muito obrigado!! avante CrewAI 💪

[@soufianechelouah]

Hi, i love your videos, can you please do a video about documents clustering using LLms i am having some trouble oing it and i would love to see your thinking process in this use case, have a nice day

[@andydataguy]

Two of my favorite people!! 😁💜

[@alejandro_ao]

hey mate 👋 glad to see you around here, you're awesome!

[@lucface]

Fine tuning agents? That’s my guess but how? (Since you can use any LLM). No matter what’s coming, this video got me Super stoked and I’m sooooo happy Ive spent all month learning python. Just a basic understanding has helped me “get it” when it comes to interpreting how it all works(agents).

[@alejandro_ao]

i've been thinking about it and, yeah! i think that is what he's talking about. he has hinted at it in the past (like, fine-tuning an agent to your personal writing style). We will find out soon :) it's so great to hear that CrewAI is helping you get started with python! what was your motivation to learn python at the start?