Building AI Agents That Actually Remember

**NOTE: REGISTER [HERE](https://luma.com/uk9vvgal)** ***PLEASE REGISTER ON LUMA TO BE ACCEPTED.*** AI agents can look great in a demo, then fall apart the moment memory, retrieval, and real-world complexity matter. ​This meetup is about what it actually takes to build agent systems that can remember the right things, retrieve the right context, and behave more reliably in production. ​We'll hear from speakers at Google, Tavily, and Oracle, each sharing practical lessons from building real AI systems, followed by audience Q&A and time to meet others working in the space. ​This is a relaxed, down-to-earth local chapter meetup designed for learning, good conversations, and connecting with other engineers and builders in NYC. **TOPICS WE'LL EXPLORE** ​Some of the themes across the evening will include: * ​Agent memory and long-term context * ​Retrieval and knowledge systems * ​Databases and infrastructure for AI agents * ​Building agent systems that are more reliable in production * ​The difference between demo-quality agents and production-ready systems *** ## ​**AGENDA** ​**5:30 - 6:15 PM** \| Arrival & Networking Check-in, food, drinks, and informal networking ​**6:15 - 6:30 PM** \| Welcome & Kickoff Opening remarks from the MLOps Community team and Oracle ​**6:30 - 7:00 PM** \| Pier Paolo Ippolito \- Google ​**7:00 - 7:30 PM** \| Dean Sacoransky \- Tavily ​**7:30 - 8:00 PM** \| Richmond Alake \- Oracle ​**8:00 – 8:30 PM** \| George Pearse \- Visia ​**8:30 – 9:30 PM** \| Open Q&A \+ Networking Audience questions, breakout chats, drinks, and networking *** ## ​**WHO SHOULD ATTEND** ​Engineers, ML practitioners, and technical builders interested in AI agents, retrieval systems, memory architectures, and real-world LLM infrastructure. **PLEASE REGISTER ON LUMA** [https://luma.com/uk9vvgal](https://luma.com/uk9vvgal) [https://luma.com/uk9vvgal](https://luma.com/uk9vvgal) [https://luma.com/uk9vvgal](https://luma.com/uk9vvgal)