Azula

AI & Crypto and sick beats | 🐈‍⬛🥀 | 🇸🇻 | Lesbiana | brujx como mi abuela

[Walrus @WalrusProtocol]

"A lot of the work wasn't about making the AI smarter. It was about making the memory, identity, and messaging layers behave correctly together." 👏

@devendyyy built Anghkooey for our Walrus Session 8, Chatbots That Remember challenge. Persistent agent memory across Web, @telegram, and iMessage via Walrus Memory.

Great breakdown on identity resolution, explicit consent, and technical tradeoffs:

[Walrus @WalrusProtocol]

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.

@kimblgn on @chain_ofthought with @ConorBronsdon on why agent memory needs to be portable across models and runtimes.

Listen to the full episode: https://t.co/Mlz1KFwyiA

[Hopey_70🪷🎀 @Hopey_70]

We've been telling y'all for the past 3 years that Angel has a lot fans.

[WNBA @WNBA]

ANGEL. REESE. 🚨

23 PTS
7 REB
2 AST
2 BLKS
8-16 FG

She helped ATL claim Game 2 in Overtime presented by @CapellaU!

NYL-ATL | ESPN | 2026 WNBA Playoffs presented by Google Pixel | @madebygoogle

[Walrus @WalrusProtocol]

@kimblgn recently sat down with the Lessons in Product Management podcast to discuss product leadership, building for an agentic future, and what happens when the end user is no longer a human, but an AI agent.

A few key takeaways:

• How product leadership evolves when agents become the primary consumers of your stack

• Designing infrastructure with provenance, auditability, and user control at the core

• Why durable, portable state matters when workflows span across models and runtimes

Listen to the full episode: https://t.co/nZ5gLZtODH

[Walrus @WalrusProtocol]

If you are attending Sui Basecamp in Singapore next week, find the Walrus team on the main floor:

Keynotes: Mainstage presentations from @kostascrypto, @kimblgn, and @EmanAbio

Plus, catch @DLougaris on the AI Builder Lab stage.

Partner Showcases: Real-world use cases with @astros_ag , @AlliumLabs , and @matterhornso

Stop by our exhibition booth and say hi.

[Walrus @WalrusProtocol]

Models change. Agent frameworks change. Tools change. Your data has to follow.

On October 7, we're giving you a new way to keep your data useful, portable, and under your control.

[Walrus @WalrusProtocol]

Most apps forget. Build ones that remember.

We're teaming up with @tatum_io for Total Recall, a 3-week global hackathon for devs to ship with Walrus Memory.

Oct 20 to Nov 10 | $4,500 prize pool

Sign up: https://t.co/WIH6FC0c8e

[Walrus @WalrusProtocol]

Doors are open at Sui Basecamp! Stop by the Walrus booth on the conference floor to run live Walrus demos and meet the team, as well as meet @AlliumLabs, @matterhornso, and @astros_ag.

[Walrus @WalrusProtocol]

Introducing Walrus Console.

One place to store, organize, and connect the data your AI apps and agents rely on, without managing the underlying infrastructure.

→ Managed platform for files & agent context

→ Native MCP + developer API

→ Private & encrypted by default

https://t.co/MCMwmOVpaW

[Walrus @WalrusProtocol]

For autonomous agents to handle real transactions across company boundaries, execution needs to be independently verifiable.

ICYMI: Our Head of Product @kimblgn was on stage at Sui Basecamp breaking down why Verifiable Agent Arbiter (VAA) with @googlecloud is a core piece of infrastructure for production agents.

[Walrus @WalrusProtocol]

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.

[Adeniyi.sui @EmanAbio]

this is a teaser of where we’re taking #Sui and walrus

tomorrow at #SuiBasecamp, you’ll see the full picture

LFG🔥

[Walrus @WalrusProtocol]

Another great build for Walrus Session 8: Chatbots That Remember.

@0xMemeshe built Recall, an AI assistant that uses Walrus Memory to turn notes and context into encrypted blobs, then retrieves cited answers on demand.

Submissions are still open for Session 8.

[Walrus @WalrusProtocol]

AI assistants usually sit passive until you prompt them. @mateojk_ built People Book for Walrus Session 8, a personal assistant using Walrus Memory to track promises, follow-ups, and key relationships, bringing actionable nudges back to you before you ask.

Built with scoped permissions and isolated namespaces under user control.

[Azula @DJAzula]

@WalrusProtocol @Mysten_Labs @googlecloud @sui Oh this is NEWS

[Walrus @WalrusProtocol]

@Mysten_Labs and @googlecloud are collaborating on Verifiable Agent Arbiter (VAA). An evidence layer for AI agents, anchored on @Sui and Walrus.

[Walrus @WalrusProtocol]

Walrus Session 9 × @RedSentinel_ai is now LIVE: Unbreakable Agents.

Build AI defenders and test their limits.

Try to break other agents, like getting a support bot to leak user data, with every attack logged on Walrus.

14 Days | $1,500 prize pool.

Guidelines: https://t.co/MekZdVXCYR

[Walrus @WalrusProtocol]

Portability. Programmability. Verifiability.

Three things your data should have as your stack evolves.

📣 October 7th.

[Raoul Pal @RaoulGMI]

This is a big deal and urgently needed