Walrus 🦭/acc Re-poster

Many developers working within the artificial intelligence infrastructure stack remain entirely unaware of a significant gap in their current systems. That absent component is known as the Verifiable Data Platform.

This specific tool provides the capability to authenticate the exact information utilized during a model training phase. Furthermore, it gives you the power to validate the memories an agent carries over between different sessions, while also documenting the precise events occurring across every single phase of your workflows.

If you build without this foundation, you are left with highly capable technologies that function entirely without accountability. On the other hand, adopting this platform ensures your artificial intelligence becomes genuinely trustworthy.

you built the app.

Walrus makes sure the data behind it can be trusted, verified, and always available when your users need it most.

because a great product deserves great infrastructure. 🦭

We look forward to crossing paths with you at @EthCC. For those creating solutions in onchain finance or AI, please take a moment to learn about Walrus. As a Verifiable Data Platform, it ensures that every byte stays programmable, provable, and consistently available, all without any compromises on speed. Make sure to visit our location along the Sponsors Boulevard, situated on the Green Floor of Level 3. While we are understandably a bit partial, we strongly feel that our team has the ultimate swag at #EthCC. Stop by and see for yourself.

By leveraging Walrus, MemWal equips your AI agents with dependable long-term memory. The platform seamlessly carries forward workflow checkpoints, reasoning traces, and conversation history. Providing full verifiability and complete availability, this solution delivers the exact functionalities that production-grade agents truly need to operate at their best.

According to @EmanAbio, the vast majority of internet transactions will soon become fully autonomous, driven primarily by agent-based workflows. Furthermore, considering the rapid growth in developer tools and the massive foundational requirements of the artificial intelligence sector, Walrus stands out as an exceptionally well-placed infrastructure platform to support this shift.

Flawed artificial intelligence always originates from unverifiable data. This is a point we have consistently shared with you over time. 🦭

We are thrilled to share that @DecryptMedia has just covered our one-year anniversary. We have officially stored over 450TB of verifiable data as actual organizations continue to choose Walrus. Moving forward, artificial intelligence will be the driving force behind all our future developments. You can watch the complete interview with @RJ_Simmonds below.

During our initial year, the primary focus was on demonstrating the viability of our concept. As we enter the second year, our objective shifts to showing that our solution can successfully expand and grow. 🎉🎉🎉

When developers choose Walrus, they are doing much more than finding a basic home for their information. The platform allows them to truly own and customize their data, putting it into action through methods that legacy systems were simply never built to handle.

For groups working within onchain finance and AI, having this kind of capability is far from a trivial detail. It is precisely what gives them the ultimate competitive edge. 🦭

Just as you would never hand over your playing cards to someone else, there is no reason to surrender your digital information to large technology corporations. We would love to hear about the projects you are actively designing on Walrus. If you have not started yet, please tell us what you would invent if your data was genuinely private, permanently accessible, and completely verifiable.

We are accepting entries for this initiative until April 8. To participate, simply present your concept through an X article, a video, a thread, or a standard post. After publishing, reply directly to this message with the link to your entry. Please remember to follow the @WalrusProtocol account and tag @WalrusProtocol in your submission.

The creators of the top 25 entries will be rewarded with an exciting prize bundle. Winners will receive a limited edition House of Tusk deck of cards. Additionally, these top entrants will earn a 30-minute group call with the Walrus team and gain access to a curated Discord AMA alongside fellow builders working on comparable problems.

Please look below to find the complete details.

Constructing a memory layer for agents is typically a time-consuming endeavor. In the past, developers had to rely on S3 to manage storage, Redis to handle caching, and a vector DB to facilitate retrieval. Despite putting all these pieces together, the resulting system frequently falls short of working correctly.

We are thrilled to share the release of MemWal, which is a unified and verifiable memory layer designed specifically for agents. It completely eliminates the need for a fragmented infrastructure by providing a solution that is fully persistent and capable of being shared across multiple systems. This is simply a memory setup that functions exactly as intended. 🦭

Discover additional information about MemWal, which is currently available on Devnet 👇

Our broadcast is officially live. Come celebrate a full year of Walrus with us as we dive into the real conversation. You can tune in and become a part of the discussion right now by accessing the link below.

Our live broadcast is set to begin in exactly one hour.

Tune in alongside @RJ_Simmonds and @EmanAbio to celebrate the first anniversary of Walrus. During our session, we will reflect on the past year and discuss our ongoing growth, which currently stands at 470TB of stored data and counting. We will also cover the incredible platform adoption we have seen from developers and enterprise builders throughout the sports, media, and finance industries.

The event starts promptly at 10 a.m. PT, which corresponds to 5 p.m. GMT.

Be sure to drop a 🦭 if you plan on attending!

Addressing your data layer is a task ideally completed prior to your initial release. If you missed that window, tackling the issue today is your next greatest opportunity. What you want to avoid at all costs is delaying until a problem actually arises, which ultimately leaves your customers to navigate the negative fallout. 🦭

Good morning, the highly anticipated day has arrived. As Walrus celebrates its first anniversary this week, we are broadcasting a live roundtable event today at 10 a.m. PT / 5 p.m. GMT. @RJ_Simmonds and @EmanAbio will be joining us to reflect on our inaugural year. We plan to talk about our primary successes, the unexpected developments we faced, and our vision for the future. We look forward to seeing you there via the link below.

We're all feeding AI systems with personal data, giving them more and more autonomy over our lives.

But right now, nobody really knows what's happening inside these systems–what data a model was trained on, what hardware it ran on, or what an agent remembers about us.

Verifiable data changes that. With Walrus, you can prove what a model was trained on, verify what ran and where, and give agents persistent, private memory over time with scalable performance, security, and verifiability all in one place, for the first time. 🦭

Mark your calendars for an engaging live conversation tomorrow, March 25, at 10am PT, which corresponds to 5pm GMT. Walrus is officially celebrating its first anniversary this week, and we are commemorating the milestone by chatting with the key builders who made it a reality.

The broadcast will feature the Managing Executive of the Walrus Foundation, @RJ_Simmonds, alongside the Co-Founder and CPO of @Mysten_Labs, @EmanAbio. During the session, they will reflect on the journey of our inaugural year and share insights regarding the future direction of Walrus.

Be sure to set your reminder so you can join us for this special event.

Your AI is out there making decisions.

Do you know what it's working with? 🦭