Alessandro Romano gave a talk about #crewai recently at AI Heroes 2024. Give it a watch 👇 🔗 https://lnkd.in/eA6-c57f
About us
- Website
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https://crewai.com
External link for CrewAI
- Industry
- Software Development
- Company size
- 2-10 employees
- Type
- Privately Held
Employees at CrewAI
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George Mathew
Managing Director at Insight Partners. Deep operator turned venture capitalist. Company builder & (former) angel investor.
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Michal (Mike) Plachta
Bringing Agentic AI Innovations to Market 🚀
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Eliot Durbin
General Partner at Boldstart Ventures
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João (Joe) Moura
Founder at crewAI - Remote Team Leader | Product Strategy | Leadership | Expert in Ruby, Python, JavaScript, Elixir and Data Science
Updates
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Checkout this awesome CrewAI project that automates the process of ordering groceries from Instacart using AI Agents. We've added it to our awesome-crewai repo 👇 🔗 https://lnkd.in/eRz5mkPg
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CrewAI reposted this
Excited to share my latest project—a Job Candidates Shortlisting Agent built with CrewAI and GPT-4! This agent takes a job post, evaluates resumes, and identifies the top 3 candidates in seconds. It even provides a detailed rationale for why each candidate is a great fit. Building this was incredibly simple: 1. Define the agent’s role and goal in plain English. 2. Describe the task it needs to perform. 3. Let the agent handle the rest! Check out the quick demo to see it in action. Building intelligent agents has never been easier! Thanks to Pradyot Prakash Srishti Bhargava and Apoorv A. for their inputs!
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2025 will be monumental for AI Agents.
PREDICTION: The future is not just about agents, its about networks/systems of agents where agents can discover and collaborate with other agents. Here's where we are now: We have made great progress this year in creating single purpose agents like customer service, company research, etc. This has been made possible by better and better reasoning capabilities in the LLMs, better structured output. Better function/tool calling. More advanced RAG (Retrieval Augmented Generation) -- and in some cases, even early implementations of multi-modality (audio/video support). That's all *awesome*. I'm here for all of it. But next year, we're going to go much further. 2025 is going to be the year of multi-agent *networks*. Agents will be able to "declare" their capabilities, their inputs and outputs and highlight their "experience". In the same way that current LLMs support tool calling (whereby a set of tools is made available to the LLM, which it can then use to formulate a more useful response), in the future *agents* will be provided access to a network/system of other agents. It can then invoke these other agents in order to handle some number of tasks that the agent can't do itself. There are already powerful dev frameworks for building these kinds of multi-agent systems (CrewAI comes to mind), and there are low-code platforms for building this -- like Agent.ai, that I'm working on. These are early days, and a lot has to happen to fulfill this network of agents vision. But it feels like we're moving that way very, very quickly. Excited to be part of this movement!
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Awesome tutorial by Akshay Pachaar on how to use a crew of agents for content creation and publishing!
I just created an agentic-workflow to automatically write and publish content for me! It's powered by CrewAI Flow and Llama 3.2, running 100% locally. Tech stack: - CrewAI to build an agentic workflow - FireCrawl for web scraping - Typefully for scheduling Here's how it works: - You provide a link to a website. - It scrapes and saves the data as markdown. - A router triggers the desired Crew of agents. - The Crew prepares a ready-to-publish draft. - Finally, use Typefully to post it to your socials. Totally hands-off and 100% automated! In this video, I provide a deep dive into how it actually works! Find all the code here: https://lnkd.in/gY2RvBiA Enjoy the video! 🥂
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Check out our latest market insights on AI Agents in production!
Founder at crewAI - Remote Team Leader | Product Strategy | Leadership | Expert in Ruby, Python, JavaScript, Elixir and Data Science
AI Agents In Production -- A insight on how is the market moving, what is going to production and how you company compares with it. insights.crewai.com It has been an incredible experience to partner with so many customers out there on building high precision use cases and help them deploying, monitoring and iterating on both Crews and Flows! Excited for the year to come! 2025, the year of AI Agents!
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CrewAI reposted this
𝗦𝗮𝘃𝗶𝗻𝗴 𝗮 𝗙𝗮𝗻𝘁𝗮𝘀𝘆 𝗪𝗼𝗿𝗹𝗱 𝗥𝗣𝗚 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀: 𝗪𝗲𝗲𝗸𝗲𝗻𝗱 𝗧𝘂𝘁𝗼𝗿𝗶𝗮𝗹 🎮 This weekend, I'm excited to share how I built a fantasy RPG powered by AI agents. I recently followed a short course Building an AI-Powered Game from deeplearning.ai by Niki Birkner and Nick Walton ❤️ Many thanks to them for such an inspiring course by giving me a fantastic opportunity to build my first game via LLMs. 𝗦𝗶𝗱𝗲 𝗻𝗼𝘁𝗲𝘀 𝗯𝗲𝗳𝗼𝗿𝗲 𝗱𝗲𝗲𝗽 𝗱𝗶𝘃𝗲: 1. There are limited fantasy epic characters now but these will be increased soon 🙌 2. I am not a FE developer, so please don't focus on how FE looks like 🤗 3. Also see the puzzle solutions for the game characters in comments below 👇 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝘁 • A multi-agent game system using CrewAI • Dynamic world generation with context-aware responses • Real-time image generation for key moments • A robust state management that keeps everything consistent 𝗟𝗲𝘁'𝘀 𝗕𝘂𝗶𝗹𝗱 𝗧𝗼𝗴𝗲𝘁𝗵𝗲𝗿! Throughout the tutorial in the blog post, I shared not just the code, but also the "aha!" moments and challenges I faced. It's amazing how combining traditional programming patterns with AI creates something that feels almost magical. Want to see it in action? I've included plenty of code snippets and examples you can try right away. Each section builds on the last, so you can follow along and build your own AI-powered game world. 𝗦𝗵𝗮𝗿𝗲 𝗬𝗼𝘂𝗿 𝗖𝗿𝗲𝗮𝘁𝗶𝗼𝗻𝘀! 🌟 I'd love to see what you build with this! Have you tried creating AI agents before? What challenges did you face? Let's learn together and push the boundaries of what's possible with AI game development. I would like to thank to CrewAI team and its creator João (Joe) Moura. The game is built on top of AI Agents 👏 Game link: https://lnkd.in/eNxxfgsr Blog post: https://lnkd.in/e-67uC92 The repository is in the comments 👇 PS: I used Anthropic Sonnet 3. 5 model heavily for specifically FE in this project as a pair and code pilot ❤️ #LLMs #CrewAI #TogetgetAI #GenAI #DeeplearningAI #DallE #Llama #openai
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CrewAI reposted this
O meetup do Itaú Unibanco #Data foi incrível para fazer conexões e discutir tendências de agentes de IA com a CrewAI. Um prazer enorme em conhecer e conversar com João (Joe) Moura sobre oportunidades de educação em IA utilizando agentes e como expandir o aprendizado dessa tecnologia utilizando inteligência artificial aplicada. Em 2025 vem novidade para o BRAINS - Brazilian AI Networks!! Um agradecimento ao Vinicius Caridá, Ph.D. e todo time do #MachineLearningUserGroup e #AWSUserGroup. #AI #Agents #CrewAI #BRAINS
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Founder at crewAI - Remote Team Leader | Product Strategy | Leadership | Expert in Ruby, Python, JavaScript, Elixir and Data Science
🚀 CrewAI + Cloudera Partner to Transform Enterprise Workflows! We’ve partnered with Cloudera, a leader in data and analytics, to bring unparalleled precision, flexibility, and real-world impact to businesses navigating complex workflows. This partnership is about solving real problems with accuracy, consistency, and security. Already helping companies across industries like healthcare, finance, manufacturing, and telecom unlock the full potential of their data. In this blog post, I reflect on this partnership and what it means for CrewAI, Cloudera, and the future of enterprise automation.
CrewAI + Cloudera: AI Agents with Precision in Enterprise Workflows
blog.crewai.com
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If you've been wodering about how to get structured outputs from your AI Agents, here's a video on how to do so in CrewAI! Check it out 👇 https://lnkd.in/gMJ4DdSc
How to Get Consistent Structured Outputs from AI Agent Tasks in CrewAI
https://www.youtube.com/