Durable AI: Agent Context is Everything

Luma Event Link Your AI agent is only as good as the context it has. Give it stale data, it makes bad decisions. Give it no history, it starts from zero every time. Give it slow retrieval, it misses the window entirely. Context is the unsolved problem of production AI. Join us for the next edition of the Durable AI Meetup series where we're diving into the tools and infrastructure that give AI agents the right information, at the right time, reliably. What to speak at the next meetup? Send us an email 📧 community-team@temporal.io ―――――――――― What's Happening: 🎤 Lightning talks & demos from builders solving the agent context problem 🤝 Networking with engineers and founders building production AI systems 🥘 Great food, drinks, and real technical conversations ―――――――――― Agenda: 5:30 PM – Doors open | Food, drinks, networking 6:00 PM – Introductions & Welcome 6:15 PM - Talks & demos begin • Bhavani Kalisetty (Co-Founder @ Retriever AI) • Lizzie Siegle (Staff Developer Advocate @ Entire) • Rishi Kundargi (AI Developer Advocate @ Chalk) • Nyah Macklin (Senior Developer Advocate @ Neo4j) • Jakob Prince (AI Strategist @ PromptQL) 7:00 PM - Panel Q&A 7:15 PM - Open Networking 8:00 PM - Close ―――――――――― Who Should Come: • Engineers building AI agents that need reliable, real-time context • Developers struggling with agents that start from zero every session • Data and ML engineers thinking about feature stores for AI workloads • Founders and builders curious about what production AI context infrastructure looks like ―――――――――― About the Companies: About rtrvr.ai rtrvr.ai builds Rover, the AI Customer Engineer that runs your product for every customer. Rover lives inside the product, combining customer context with the live state of the UI to give personalized demos, onboard new users, and do setup work in their real session. It makes hands-on customer engineering available to every account, from first visit through adoption. About Entire Entire is building the next developer platform for humans and agents. It captures every agent session (prompts, tool calls, decisions) alongside your git commits, so teams can review intent, search past work, and stop starting from zero. Think version control for the age of coding agents. entire.io About Chalk Chalk is the AI data platform for inference. It gives ML and AI engineering teams a programmable feature engine to build, deploy, and iterate on production models and agents, connecting directly to the data sources they already use, serving features at sub-5ms latency, with consistency guaranteed between training and production. Chalk's newest capability is Chalk Compute: an enterprise-grade agent runtime that deploys entirely inside a customer's private cloud. No synthetic test environments, no data leaving the VPC About Neo4j Neo4j - Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI. About PromptQL Agents fail on context, not capability. PromptQL is a multiplayer AI agent that learns its context from how a team actually works: it connects to your data, APIs, and coding agents, then captures the context and tribal knowledge people produce along the way into a shared wiki. Teach it once, everyone benefits. About Persona Persona is an online identity verification platform that enables businesses of all sizes to collect, verify, and manage user identities throughout the customer lifecycle. Trusted in over 200 countries and territories. Learn more about Persona → withpersona.com About Temporal Temporal – Durable Execution platform that ensures your AI agents and workflows survive failures, handle long-running operations, and reliably complete—even when things go wrong. Hosted by Temporal 🚀 location provided by event source: "Financial District" ―――――――――― SF Stuff To Do