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.
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: https://t.co/Mx13pY7LNF
This is one of the most open problems in AI right now.
Past a certain size, a team is limited by how well work moves between people. How good each person is matters less. Anyone who’s built products in a large organisation knows this.
Agents are at the same point.
Each agent is already capable on its own. The bottleneck is coordination between them.
Organisations have spent decades learning how to coordinate people. But agentic coordination is going to be a different thing.
The way I see it, it’ll end up as its own layer outside any model or platform. And it’ll be run by each organisation on its own data and under its own controls.
NEW: @SuiNetwork introduces Verifiable Agent Arbiter in collaboration with @googlecloud, allowing enterprises to verify that AI agents operate within their assigned permissions.
Built on Sui and @WalrusProtocol , the system stores publicly verifiable evidence of agent activity, creating a neutral layer for AI accountability.
AI agents are making more decisions on our behalf, so we need a way to verify what they actually did.
Our Head of Product, @kimblgn, breaks down why independently verifiable data matters and how Walrus is helping make that possible alongside @SuiNetwork and @googlecloud
Worth a watch 👇
AI agents act for your business. Can you prove they stay within their authority?
Verifiable Agent Arbiter, built in collaboration with @googlecloud, anchors proof on Sui and Walrus for anyone to check.
“A credibly neutral layer is the only place that this can happen” - @kimblgn
AI agents act for your business. Can you prove they stay within their authority?
Verifiable Agent Arbiter, built in collaboration with @googlecloud, anchors proof on Sui and Walrus for anyone to check.
“A credibly neutral layer is the only place that this can happen” - @kimblgn
That's a wrap on #TotalRecall! Submissions are closed, and the creativity we've seen from builders has been incredible.
Huge thanks to everyone who built with us and @tatum_io!
Now comes the fun part. 👀 We'll be spotlighting some standout builds soon, and trust us, you'll want to see what this community created.
Stay tuned. We're just getting started showing you what this community built!
Some people do want machines in charge, because they think a machine can rise above human fallacies and tendencies. But most of the world doesn’t want that
Because there’s something really special about human ingenuity and that’s not worth the trade-off
But AI could bring a lot of good to this world. It could help us solve problems in medicine and science that we’ve been stuck on for generations
That’s why it’s really important that we get it right, and getting it right takes both alignment and control. People need to be in charge, and they need to feel it
So if we want the next billion people to use AI, the control and constraint have to be theirs
They decide what it has access to and what it’s allowed to do. Then they can see for themselves what it makes possible that wasn’t possible before
And when it starts to improve their day-to-day lives, I don’t have a doubt that they’ll use it
985 goals. 15 to go. 🐐⚽
El Bicho is turning Ronaldo's road to 1,000 into a fan experience that actually remembers you
Built for #TotalRecall, it uses Walrus Memory to carry your predictions, reactions, and preferences across sessions, so the experience evolves with every match
Love seeing builders bring persistent memory into sports fandom