Murphy's Pub Orlando, 6582 International Dr: Register here: https://luma.com/eg33aeza

Every mobile AI agent today — whether it's automating tests, navigating apps, or completing tasks on behalf of a user — starts every session completely blind. It sees the screen, reasons about what to do, acts, and then forgets everything the moment the session ends. The next time it encounters the same cookie consent dialog, the same slow-loading screen, the same unexpected popup, it figures it out from scratch. Again. Every single time. This talk explores what happens when you give a mobile agent memory — not chat history, not RAG over documents, but structured recall of how it has interacted with real device interfaces over time. What screens has it seen before? What actions worked? What failed? What changed between app versions? Using real examples from production mobile test automation at enterprise scale, we'll show how memory turns a stateless agent into one that gets measurably smarter with every run — fewer retries, faster execution, self-healing across app updates, and recovery from unexpected UI states in one step instead of ten. We'll also look ahead: if agents are going to operate our phones, our desktops, and eventually our physical environments, what does the memory infrastructure need to look like? Who should attend: Android and iOS engineers building or evaluating AI-powered automation, developers working on mobile agents or computer-use agents, QA engineers interested in where test automation is heading, and anyone curious about what it actually takes to make AI agents reliable on real devices.