​Our 5th AI Agent Meetup is sponsored by BeeAI.

​The SF AI Agent Meetup is a new & growing community for AI Agent Developers, Engineers, UX, Ops, and Applied Researchers exploring and leading the evolution of AI agents. Whether you're building autonomous systems, experimenting with LLM-powered assistants, or integrating AI agents into real-world applications, this meetup is the place to discover, share insights, and collaborate with your peers. Join us for talks, demos, discussions and networking with like-minded innovators shaping the next generation of AI.

​​📆 Agenda

• ​​5:00 pm – Checkin & Networking

• ​​5:30 pm – Introductions & Welcome

• ​​5:45 pm – Lightning Talks:

  • ​#1 - “From Academic Innovation to Enterprise-Grade Systems for Impactful AI Agents” by Marquita Ellis, IBM Research Staff Scientist

  • ​#2 - "Deploying AI Agents in Voice-first Markets" Ricardo Marín of Vozy

• ​6:00 pm - Talks:

  • ​#1 - Introducing Agent Gateway: A rust-built dataplane for AI, MCP, and A2A connectivity by James Ilse of Solo.io

  • ​#2 - Llama Stack in Production by Kai Wu & Nikhil Maddirala of Meta

  • ​#3 - Open AI Agent SDK + Temporal for easy to build, production-ready agent by Cornelia Davis of Temporal

• ​​7:30 pm – Open Networking w/ Pizza and Sodas

• ​8:30 pm – Close

​Talk Details:

• ​Lightning Talk #1 - Announcing a collaboration across the UC Berkeley Sky Lab, Stanford, UIUC, Intesa Sanpaulo, and IBM Research we invite you to participate in a cross-sector, cross-institutional survey of enterprise AI Agent use-cases, in an effort to bolster the foundation for systems research and development for agentic workloads. If you use the words "AI agent" or "agentic" to describe systems you are developing, we want to hear from you!

• ​Lightning Talk #2 - The talk will cover how we at Vozy have been deploying generative AI agents in production for phone and messaging since 2018. I will share what we have learned from serving over 120 enterprise clients and automating more than 140,000 hours of voice conversations last year. I will also discuss the unique challenges and adoption barriers for voice AI in Latin America and how we have overcome them to combine automation with real time agent coaching and speech analytics.

• ​Talk #1 - AI agents leverage AI models to accomplish their goals but they rarely do so alone. They will need access to data, functionality, and other agents. Up until now, trying to secure, observe, and govern this connectivity with an enterprise environment has been challenging. Previous tools built for APIs may appear to help here, but once you pull back the covers you realise a lot of these protocols are not stateless HTTP calls. Agent gateway was built to solve challenges around Agent to LLM, Agent to Tool, and Agent to Agent communication. In this presentation, we'll introduce you to Agent Gateway open source project. 

• ​Talk #2 - "Llama Stack in Production" - Meta is excited to announce a deeper collaboration between the AI Alliance and Meta’s Llama Stack, marking a significant milestone in advancing open-source AI development. We invite ISVs and businesses of all sizes to explore partnership opportunities with the AI Alliance, Meta, and Llama Stack. Please fill out this form to be considered for partnership opportunities.
  
  This "Llama Stack in Production" presentation outlines a solution for easily building and deploying applications with Llama models, addressing challenges faced by both developers and API/service providers. The goal is to simplify tasks like inference, fine-tuning, and evaluation, and to provide production-ready agentic workflows. Llama Stack uses APIs and a plugin architecture to offer a standardized interface and toolchain components, enabling flexible deployments across various environments including on-premise, cloud, and on-device.

• ​Talk #3 - "Open AI Agent SDK + Temporal for easy to build, production-ready agents ” - AI frameworks like the OpenAI Agents SDK are designed to make agent development easier, but to get these things out in the wild, you need to make them production ready. OpenAI and Temporal have teamed up to make that part just as easy.
  
  Temporal (fully OSS, MIT license) is a durable execution platform that delivers resilience - durable execution - for distributed systems. It implicitly implements retries, event driven/sourced patterns, state management and checkpoint-like recovery so that your apps - in this case, your AI agents - deliver, even as all sorts of chaos is swirling around them.  
   
  Long used by companies such as Snapchat, Airbnb, Doordash and many more to bring resilience to distributed systems, Temporal is proving very valuable for AI agents, which, honestly, are distributed systems on steroids. That's why AI companies such as Lovable, NVidia and even OpenAI themselves are using it too.

​​We look forward to building San Francisco's AI Agent community together! 🚀

​Food and drink, engaging conversation, and incredible company will all be provided!

​This AI Alliance event is sponsored by BeeAI.

​Why join?
This is your chance to dive deep into the world of AI agents, connect with a new and emerging developer community. This event is designed for experienced developers, and those who are curious about agents.

​​​Please be advised: Unfortunately, space is very limited at these community events and we can not always accept everyone we would like to. We appreciate your application and are looking forward to seeing you at a future event!

​By coming to this event you agree to be part of group photographs which are used for community building and promoting future events.

​​Code of Conduct: We expect our members to treat each other like family, so please click here to read our Code of Conduct. If you see someone violating it, please speak with your event organizer or reach out to dnielsen@thealliance.ai.

​​​​The AI Alliance is a non-profit, grassroots community of 150+ companies, startups, researchers, and individuals. Through world-class events, online events, and workshops, members leverage their diverse perspectives and innovative minds to foster meaningful relationships, solve challenging problems, and define the future of AI.