AMSTERDAM: Building Autonomous Systems - KubeCon Meetup + AfterParty (LangChain, SurrealDB, Qodo)

Agentic AI only works as well as the context you can reliably retrieve. This event brings together AI engineers and platform engineers to talk about what happens after the demo: reliability, guardrails, and the runtime + data foundations you need to ship agentic systems in production. With speakers from LangChain, AWS, Qodo, plus a keynote from SurrealDB, we’ll dig into practical architectures for building and operating AI apps at scale - from execution environments to platform controls and durable memory. We’ll explore: What “production-ready” means for agents: safety, observability, and failure modesHow platforms should support agent workflows (not just model calls)Patterns for separating experimentation from execution (and keeping both fast)Building durable agent memory with knowledge graphs - and making retrieval predictable Talks & technical sessions Sandboxed Deep Agents — Daniel Kneipp (LangChain)Hidden Failure Modes for AI Agents — Nupur Sharma (Qodo)Building Agent Memory with Knowledge Graphs — (SurrealDB)LangChain Authorized AI Apps — Sohan (LangChain) Panel / open discussionBuilding and operating AI systems in real-world environments Networking & drinks Agenda (subject to change)Welcome & opening remarksTalks & technical sessionsPanel / open discussionNetworking & drinks