Walrus
@WalrusProtocol • 368,372 subscribers
Walrus is the data platform built for the demands of AI, where data is portable, protected, and verifiable. Created by the ex-Meta engineers behind @SuiNetwork.
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🌋 Claynosaurz just launched their Popkins NFT collection on Sui — stored on Walrus. From dynamic content updates to richer, onchain experiences, the Claynosaurz team is using Walrus as a key piece of infrastructure to expands their world. Because owning your data means owning your experience.
Walrus5,852,103 views • 1 year ago
The stakes around data are changing. As artificial intelligence moves into everything, the demands on our data compound. So do the risks. We now share our ideas, intentions, and reasoning with these systems. The skills and experience that we’ve spent a lifetime building. For institutions and builders, it’s their competitive intelligence, their proprietary insights. The edge that separates winners from everyone else. Data is our most valuable asset. This is also a moment of massive opportunity. Agentic AI has the potential to create new abundance for humanity. But for that future to be possible, agents need data that makes them capable. Data they control, that moves with them across applications, and that they can independently verify. As owners, we’ll need to prove to regulators what our agents did. All things that today’s infrastructure cannot provide. Sui represents the first half of the solution. A coordination layer built for the machine economy. Walrus is the data platform that completes it. Walrus makes data a first-class asset. The terms of access and monetization stay with its owner, not a vendor. It empowers builders to ship agents and apps without locking themselves or their customers into any model or platform. Users carry their data, their memory, and their work across systems while cryptographic proof replaces vendor trust. Everything is anchored on Sui: a coordination layer and a data layer built to move as one. Welcome to the new era of Walrus. The data platform built for the demands of AI.
Walrus20,335 views • 11 days ago
Your AI agent needs context. Walrus Console gives you a way to work with it. Learn more:
Walrus11,620 views • 7 days ago
85% of memories written to an agent are accessed 30+ days later. But if you switch models or try a new harness, you shouldn't have to start over. Kimberly Logan on Chain of Thought Podcast with Conor Bronsdon on why agent memory needs to be portable across models and runtimes. Listen to the full episode:
Walrus12,182 views • 9 days ago
Friendship with Ika「🦑」? Over. Sound on 🔊 Diss track by ColOink.sui 🐽.
Walrus 🦭/acc48,912 views • 1 year ago