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…
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.
Finding data across decentralized blobs and sites shouldn't require guesswork.
Join us on @discord for a builder AMA with @OmuraHQ co-founders Sourabh Chawla and Aditya Berry, breaking down real-time indexing and search infrastructure for Walrus.
October 21, 2026 at 12:00 p.m. UTC.
Bring your questions: discord.com/invite/walruspro…
Walrus retweeted
Builders, this is your playground.
Explore @WalrusProtocol templates + uploaded images on @OmuraHQ 👉 omura.wal.app
Reverse image search is live trace anything on Walrus 🔍
Let’s stress test this
🚨 Walrus Sessions Round 3 is live.
We're teaming up with @at_bellyseal (bellyseal.com) for the Deep Dive: a creative challenge built around AI-generated images, NFTs, and stress-testing the official Walrus template.
$1,500 WAL + $1,000 BellySeal credits up for grabs.
The brief 👇
Walrus retweeted
The DATA on Sui Content Quest is live.
$5,000 USDC total prize pool across two tracks for creators, writers, and community builders.
🔹 Create Track (Judged): Articles, X threads, videos, visuals/memes, or Korean-language content focused on DATA on Sui. $1,000 Grand Prize + $500 track prizes.
🔹 Amplify Track (Drawing): Share eligible @datafdn posts with your take on AI data provenance. 4 random winners get $500 USDC each.
Walrus retweeted
@SlackHQ CPO Jaime DeLanghe joined @chain_ofthought with @ConorBronsdon to talk agent context: why channels became the natural context model for agents, and what happens when a whole team steers one agent instead of working in silos.
Season four of @chain_ofthought presented by Walrus Memory.
Full episode:
chainofthought.show/podcast/…
Walrus retweeted
Using agents to explore search spaces and optimize thousands of models automatically.
@AnushElangovan of @AMD joined @ConorBronsdon to talk ROCm 10, agent swarms, and GPU performance.
Season 4 of @chain_ofthought sponsored by Walrus Memory: chainofthought.show/podcast/…
Walrus retweeted
Most collectibles are made to be owned. CONSO Bots are designed to do something more.
@conso_xyz is building agentic collectibles connected to its consumer graph and payments ecosystem, powered by @WalrusProtocol
What makes this interesting is the idea of connecting digital ownership with network participation. Instead of being just another NFT sitting in a wallet, a CONSO Bot is designed to run a mobile node for the CONSO Network.
The eligibility checker is now live, with 5,555 bots planned for a free mint.
The bigger question is whether collectibles can become useful pieces of infrastructure, not just digital items to trade.
Worth checking your eligibility before the next step.
Walrus retweeted
The dark age of unsearchable blobs is over.
Meet Omura: The public-good search layer for @WalrusProtocol.
We use AI embeddings to turn raw, active data from text to video into fully discoverable content.
Join the Waitlist: [omura.fun]
Walrus retweeted
CONSO BOTS Eligibility Checker is now LIVE 🚨
5,555 BOTS | Free Mint | Agentic Collectibles 🤖
Check your eligibility 👇
conso.xyz/bots