quote: Have you ever wondered what actually happens behind the scenes when you tell an AI agent to "remember this?" @Callme_proton mapped out the full lifecycle of a portable memory – from "remember" to encrypted, user-owned retrieval. A clean breakdown of a complex architecture. There's still time to submit your entry for Walrus Sessions 6: thewalrussessions.wal.app | In 2026, most people think AI has a memory problem and that is not the case. The real issue is that its memory is locked inside apps, sessions and context windows, where every new conversation often means starting over. That made me ask a simple question: What would it take for AI to remember across different apps, devices and models? I explored that question by researching and writing a deep dive on @WalrusProtocol Memory, following a single memory from "Remember this" to how it is securely stored, protected and recalled later. Along the way, I explain SDK, embeddings, RAG, the Relayer, Seal encryption, Walrus Storage, Sui and how they work together to make AI memory portable and user-owned. I kept the explanations simple while still covering the technical details, so both developers and curious readers can follow along. If that sounds interesting, you can read the full article here 👇 ▫️Medium: https://t.co/6Z8IBNvpqk 
▫️Inkray (@inkray_io) : https://t.co/u42dPdd4LA

quote: Have you ever wondered what actually happens behind the scenes when you tell an AI agent to "remember this?" @Callme_proton mapped out the full lifecycle of a portable memory – from "remember" to encrypted, user-owned retrieval. A clean breakdown of a complex architecture. There's still time to submit your entry for Walrus Sessions 6: thewalrussessions.wal.app | In 2026, most people think AI has a memory problem and that is not the case. The real issue is that its memory is locked inside apps, sessions and context windows, where every new conversation often means starting over. That made me ask a simple question: What would it take for AI to remember across different apps, devices and models? I explored that question by researching and writing a deep dive on @WalrusProtocol Memory, following a single memory from "Remember this" to how it is securely stored, protected and recalled later. Along the way, I explain SDK, embeddings, RAG, the Relayer, Seal encryption, Walrus Storage, Sui and how they work together to make AI memory portable and user-owned. I kept the explanations simple while still covering the technical details, so both developers and curious readers can follow along. If that sounds interesting, you can read the full article here 👇 ▫️Medium: https://t.co/6Z8IBNvpqk 
▫️Inkray (@inkray_io) : https://t.co/u42dPdd4LA

Source:https://x.com/WalrusProtocol/status/2086526895206879366