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.

Sui
Joined June 2024
Your agent needs context. Your application needs data. Walrus Console connects the two. Here's a quick tutorial on how to wire Walrus Console into Cursor using MCP so your agent can read and write files directly in your workflow: Try Walrus Console: walrus.xyz/products/walrus-c…
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meet daimon: an ai agent that lives in your telegram. it answers your questions with live web search, drafts replies to your dms for you to approve, and sums up your group chats, all from its own account on sui. powered by @Talus_Labs Talus Protocol 👀 with @WalrusProtocol daimon.run
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This partnership really shows how committed @PerceptronNTWK to their project
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Verifiability is going to be such a huge use case for @WalrusProtocol. It's going to be super important for a lot of agentic workflows
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That’s a big move from Perceptron being part of the node owner on their network 🔥🔥🔥
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Exactly It’s a good movement
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Perceptron is moving its enterprise data suite to @WalrusProtocol, the storage network built on $SUI. The data network says it runs on 800,000+ user-run nodes. With Walrus, its buyers can verify datasets haven't been altered. suiwire.com/news/perceptron-…
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Featured in @Forbes: Walrus Memory. “There was a point in time that we were stopped from accessing Fable and Mythos. And imagine at that time, what do I have to do?” — @kostascrypto 5,000+ agents and 4.5M+ retrievals later, here is why builders are moving to portable, user-keyed memory so switching LLMs doesn't mean starting from zero. Read the full piece by @guneyyildiz: forbes.com/sites/guneyyildiz…
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A closer look at @WalrusProtocol We stopped by the Walrus booth at @SuiNetwork Basecamp during TOKEN2049 to talk decentralized data storage and where Walrus is heading next. Catch the conversation 👇 $WAL $SUI
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D-1 Build from anywhere & compete for a share of the $4,500 prize pool 💰 tatum.io/hackathon/total-rec… The Total Recall Hackathon brings together the @tatum_io AI Builder & @WalrusProtocol to help you build apps that remember.
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Replying to @Forbes
@Forbes piece on startups selling things OpenAI/Google can't - neutrality and portable memory. Model vendors have no incentive to make switching painless. Very Kostasy quotes from @kostascrypto on Walrus Memory (your keys, your context) and our Verifiable Agent Arbiter work with Google Cloud - credibly neutral audit logs. Filling trust gaps is our thing. Agents need to be productive and provably doing what they're supposed to. forbes.com/sites/guneyyildiz…
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When enterprise buyers and hedge funds rely on real-time data, verifying that the data hasn't been tampered with is essential. @PerceptronNTWK is migrating the data behind its 800,000-node network to Walrus to bring verifiability to its enterprise data suite. Read the full announcement: walrus.xyz/blog/perceptron-w…
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Have you been using Walrus Console? The Walrus team wants to hear from you. Let us know your thoughts in the replies.
Console has been out for a couple of weeks now, and I want to hear from the people using it What's been the most useful part for you so far? And what would make it even better? console.walrus.xyz/login/
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Console has been out for a couple of weeks now, and I want to hear from the people using it What's been the most useful part for you so far? And what would make it even better? console.walrus.xyz/login/
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It's time to remember. Total Recall is open for building. tatum.io/hackathon/total-rec… You have three weeks to ship during the #hackathon: 🧠 Walrus Memory on Mainnet ⚡ Tatum to help you build and ship 💰 $4,500 in prizes
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Replying to @databricks
@databricks put agent memory into beta on Oct 12. @MongoDB added it to Atlas last month. The biggest data platforms are moving toward framework-agnostic, model-flexible memory. That’s progress. But memory can work with many agents and models while still remaining tied to one data platform. What your agents learn about your customers becomes one more thing you can't move. Walrus Memory keeps it yours. One memory layer that travels with your agent – readable from any model or runtime, bound to no single platform. remember() to save a fact, recall() to bring it back. docs.databricks.com/aws/en/r…
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Building an AI agent? Give it memory that survives the session. If you're tired of re-explaining context or losing memory between runs, here's how to get started with Walrus Memory: Core SDK: mysten-incubation/memwal stores encrypted memory on Walrus, with independently verifiable data integrity. github.com/MystenLabs/MemWal… OpenClaw plugin: mysten-incubation/oc-memwal adds automatic memory capture and recall to OpenClaw agents, keeping memory available across sessions. github.com/MystenLabs/MemWal… AI-friendly docs: SKILL.md provides integration instructions, while llms.txt gives AI tools a structured documentation reference. github.com/MystenLabs/MemWal… Persistent memory across sessions, tools, and workflows. Under your control. Quickstart + source code: github.com/MystenLabs/MemWal
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• @SuiNetwork says the next $5T in transactions won’t be human. And this is proof that it’s happening already Have a good watch
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Loved her line so much I put it in here W @kimblgn
• @SuiNetwork says the next $5T in transactions won’t be human. And this is proof that it’s happening already Have a good watch
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Walrus Console is all about bringing the amazing capabilities of @WalrusProtocol to more people It is going to be the front door and home for every product we build on top of Walrus from now on
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A pleasure building with WALRUS 🩵
.@conso_xyz is doing a great job. One of my favourite projects building on @WalrusProtocol
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