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Mysten Labs Wants AI Agents to Remember You — And They're Using Decentralized Storage to Do It

(121 days ago) · 1 source · Summarized by CryptoBipto

Mysten Labs co-founder discussed how Walrus Memory, a decentralized storage solution, could give AI agents persistent memory — allowing them to learn about and remember individual users over time. The technology aims to solve a key limitation of current AI systems: the inability to retain context across sessions. By storing this memory on decentralized infrastructure, the approach promises user ownership of their AI data.

WHY IT MATTERS

Imagine if every time you talked to Siri or ChatGPT, it remembered your past conversations, your preferences, and your habits — like a real assistant would. That's what Walrus Memory is trying to enable. But here's the crypto twist: instead of Apple or OpenAI storing all that personal data on their servers (where you have no control), this approach stores your AI's 'memory' on a decentralized network. Think of it like keeping your diary in a personal safe rather than leaving it at someone else's office. For crypto, this matters because it creates a real-world reason to use blockchain-based storage — not just for trading tokens, but for something people actually interact with every day: AI.

One of the biggest frustrations with today's AI assistants is that every conversation starts from scratch. Walrus Memory, built on Mysten Labs' decentralized storage protocol Walrus, aims to change that by giving AI agents a persistent, user-controlled memory layer.

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