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Building AI Agents That Actually Remember
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| With Pier Ippolito (GenAI, Google), Richmond Alake (Dir. AI Dev Experience, Oracle), Dean Sacoransky (Head of Forward Deployed Engg, Tavily), George Pearse (Head of Platform Engg, Visia). |
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Apr 08 (Wednesday) @ 05:30 PM
FREE
| | Venue, To Be Announced
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AI agents can look great in a demo, then fall apart the moment memory, retrieval, & 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, & behave more reliably in production.
We'll hear from speakers at Google, Tavily, & Oracle, each sharing practical lessons from building real AI systems, followed by audience Q&A & time to meet others working in the space.
This is a relaxed, down-to-earth local chapter meetup designed for learning, good conversations, & connecting with other engineers & builders in NYC.
TOPICS WE'LL EXPLORE
Some of the themes across the evening will include:
Agent memory & long-term context
Retrieval & knowledge systems
Databases & infrastructure for AI agents
Building agent systems that are more reliable in production
The difference between demo-quality agents & production-ready systems
AGENDA
5:00 - 6:15 PM | Doors Open - Arrival & Networking
Check-in, food, drinks, & informal networking
6:15 - 6:30 PM | Welcome & Kickoff
Opening remarks from MLOps Community & Oracle
6:30 - 7:00 PM | Richmond Alake, Oracle
Memory Engineering & the Rise of Memory-Aware Agents
7:00 - 7:30 PM | Dean Sacoransky, Tavily
Context Management in Research Agents
7:30 - 8:00 PM | George Pearse, Visia
Efficient Context Management for Computer Vision
8:00 - 8:30 PM | Pier Paolo Ippolito, Google
Moving from Prompt to Production: A Standardized Lifecycle for AI Agents
8:30 - 9:30 PM | Open Q&A + Networking
Audience questions, discussion, drinks, & networking
WHO SHOULD ATTEND
Engineers, ML practitioners, & technical builders interested in AI agents, retrieval systems, memory architectures, & real-world LLM infrastructure.
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