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
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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…
Walrus retweeted
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-…
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…
ALT If a company can swap one model for another in an afternoon, the real lock-in moves to everything its agents have learned about the business. Chalkias noted three reasons companies switch models: a better model arrives, a cheaper one does the job, or a regulator or employer restricts which systems can be used. He pointed to this summer’s interruption, between June 12 and July 1, when access to Anthropic’s Fable and Mythos models was suspended. “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?” Chalkias said. In most enterprise setups, switching models means leaving accumulated context behind. “You’re not able to go and get your data and move it to another LLM.”
Walrus retweeted
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
Walrus retweeted
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.
Walrus retweeted
@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…
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…
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/
Walrus retweeted
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/
Walrus retweeted
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
Walrus retweeted
@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…
Walrus retweeted
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
Walrus retweeted
• @SuiNetwork says the next $5T in transactions won’t be human.
And this is proof that it’s happening already
Have a good watch
Walrus retweeted
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
Walrus retweeted
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
Walrus retweeted
A pleasure building with WALRUS 🩵
.@conso_xyz is doing a great job. One of my favourite projects building on @WalrusProtocol
Walrus retweeted
.@conso_xyz is doing a great job. One of my favourite projects building on @WalrusProtocol
Walrus retweeted
💧What happend to Walrus?
For anyone who hasn’t caught up with what’s been happening at Walrus, I intervewed @kimblgn at Sui Basecamp 2026 in Singapore.
1️⃣Move to AI
First, they’ve shifted their focus to becoming a data layer for AI and brought Kimberly Logan onto the Walrus Product Team to help drive that vision.
2️⃣Google Cloud Collaboration
Second, they’re working with Google Cloud to serve as an Arbiter, providing proof for the data AI leaves behind. Walrus will be there to help us get work done with AI we can trust.
3️⃣ Walrus Memory
Third, Walrus Memory lets you switch between models and pick up right where you left off. You can bring the background and context of your work with AI across different models while keeping your privacy intact.
4️⃣ Walrus for all AI Agents
Fourth, this is infrastructure that every AI needs. Starting with Google Cloud, Walrus could eventually have a role to play for every AI agent. As for the growth that could follow... I’ll leave that to your imagination.
It was an great to get an early look at Walrus’s new direction and progress at Sui Basecamp. If I’d been a little faster with the video editing, this interview could have been alpha! A bit of a missed opportunity there.