# Walrus Sessions 8: Building chatbots that actually remember you ($2,500 in prizes, ends Oct 9) > Source: > Published: 2026-09-24 02:19:07+00:00 Most chatbots forget everything the second a conversation ends. Ask it something on Monday, come back Tuesday, and you're a stranger again. **Walrus Sessions 8: "Chatbots That Remember"** is a live hackathon session tackling exactly that — building (or retrofitting) a chatbot that uses **Walrus Memory** to persist context across sessions, users, and devices. Build or retrofit a chatbot that: Any use case counts: customer support, onboarding, tutoring, sales, community bots, even game NPCs. I spent a few days going deep on the underlying open-source SDK (MemWal) — not just building with it, but actually reading through the codebase: the auth layer, the on-chain contract, the sample apps. It's a genuinely well-built system (constant-time auth checks, on-chain delegate-key verification, careful quarantine/replay protection), and digging into *how* persistent memory is implemented securely taught me more than most tutorials do. Ended up finding and reporting a couple of real bugs along the way, which the maintainers fixed fast. If you've ever wanted an excuse to actually understand how persistent, encrypted agent memory works under the hood instead of just calling an API — this is a good one to dig into, whether you build the full chatbot or just go bug-hunting in the SDK.