We are quickly approaching a future where millions of AI agents will operate across multiple organizations to coordinate work, transfer funds, and make decisions. For all of this to run smoothly, however, these agents must be able to retain their memory seamlessly throughout different applications and sessions.
This is exactly the challenge Walrus Memory addresses. The platform equips AI agents with a verifiable and portable memory system that they can easily carry, share, and completely trust. From the ground up, it is purpose-built to facilitate agent coordination at a massive scale.
Are your artificial intelligence brand materials constantly looking as though they belong to several completely different companies? @at_bellyseal was designed specifically for individuals who are frustrated by this exact issue. By teaching the system your unique visual style just a single time, you can continuously produce highly uniform graphics. You have the option to explore models developed by fellow creators, or you can supply your own reference files to establish a customized aesthetic. Best of all, you maintain absolute ownership over your trained model and every piece of content it generates, with Walrus securely holding the receipts.
Mark your calendar for Fri May 22, 9 a.m. PT / 6 p.m. CET.
During our time at Sui Live, we asked creators a thought-provoking question about what would occur if their AI agent completely lost its memory tomorrow. Most respondents felt the impact would be absolutely devastating. While a small number mentioned they keep backups, every single person agreed that being forced to start from scratch is the absolute worst-case scenario. This highlights a crucial need: agent memory must be both persistent and portable so that it can seamlessly follow a user from one agent to another. Providing this seamless experience is exactly what Walrus was built to do.
Our exhibition stand is completely filled with visitors right now. It is incredibly exciting to see that nearly every builder stopping by is eager to have a discussion regarding agent memory.
Artificial intelligence memory ought to be owned by the person using it, rather than by the underlying model itself. @EmanAbio recently highlighted this exact philosophy when speaking about MemWal. This platform operates as a fully encrypted and portable memory layer that is specifically designed to support AI agents functioning across any LLM.
Transmisiunea în direct Sui a început oficial, așa că nu uitați să ni vă alăturați mai jos 👇 Ne-ar plăcea să vedem cine urmărește în timp real, așa că lăsați un 🦭 dacă sunteți în prezent la vizionare.
Good morning from Sui Live. The big day is finally happening today. We warmly welcome you to visit the Walrus booth to pick up some merchandise and join us for an engaging discussion regarding verifiable data.
A substantial gap separates a standard LLM that merely provides conversational replies from an advanced system equipped to execute tangible real-world operations.
In the explanation below, @GDanezis details the reasons our present technological foundations are already proving inadequate for this next wave of innovation.
As noted by @GDanezis, an agent's memory functions as much more than a simple, informal log of its past actions. This stored history truly serves as the core essence of the agent, completely defining its unique character and establishing its professional credentials. 🦭
Many cryptocurrency applications run into a familiar obstacle when they depend on unreliable information from sources that cannot be verified. Developers often try to fix this by applying patches, creating wrappers, introducing retry mechanisms, and installing monitors. Even though the program may appear to operate normally, there is simply no way to prove that the information provided is accurate or completely unaltered. Throughout this process, your application is handling financial transfers, managing agents, and executing crucial logic. In the end, creating a high stakes system based on data that lacks absolute certainty will inevitably lead to a failure that you will be completely unable to trace or explain.
The Walrus community is now live on @SuiNSdapp. Join to connect with WAL holders, builders, and everyone following the ecosystem. 🔥👇 https://suins.io/communities/walrus
Here is an interesting observation to consider. During the previous cycle, the primary concern was figuring out who possessed the highest amount of liquidity. As we move into the upcoming cycle, that focus will shift toward identifying the agents that rely on verifiable data. While the landscape of this space has completely transformed, the underlying risks and rewards remain exactly the same.
Datorită colaborării noastre cu @tatum_io, avem o actualizare importantă pentru toți constructorii și agenții. În sfârșit, poți să spui la revedere procesului obositor de reconstrucție a informațiilor blockchain, bloc cu bloc. Seturi complete de date pentru Ethereum, Bitcoin și BSC sunt acum accesibile instantaneu pe Walrus, iar noi ne pregătim să introducem peste 100 de rețele foarte curând. Prin ambalarea acestor date blockchain verificabile și structurate complet on-chain, ne-am asigurat că sunt complet pregătite pentru analize, instruire AI și fluxuri de lucru agentice la scară.
Inteligența artificială va insista uneori cu încredere că are răspunsul corect, doar pentru a-și baza afirmațiile pe postări aleatorii de pe Facebook. O analiză recentă adusă în atenție de @nytimes ilustrează exact această problemă, arătând că AI Overviews de la Google ating ținta doar 90% din timp. Cea mai mare îngrijorare pentru utilizatori se află în acel 10% lipsă. Când sistemele se bazează pe surse neverificabile, acestea cad victimă capcanei clasice în care inputul de calitate slabă duce direct la output de calitate slabă. Depășirea acestui pericol specific este exact motivul pentru care datele verificabile sunt atât de importante astăzi, iar furnizarea acestei fiabilități este scopul fundamental din spatele creării lui Walrus.
Întregul ecosistem DeFi este condus de date. Indiferent dacă este vorba despre istoricul tranzacțiilor, logica off-chain sau feed-urile de preț, fiecare componentă crucială a infrastructurii se bazează puternic pe accesibilitatea datelor în momentul în care sunt necesare. Walrus oferă fundația robustă unde aceste date verificabile funcționează.
Creezi proiecte pe Walrus și cauți să afli mai multe despre cererile de propuneri (RFP) și opțiunile de finanțare? Te invităm cu căldură la orele noastre de birou pentru RFP și granturi care vor avea loc mâine, 1 aprilie, la ora 12 p.m. UTC. Evenimentul va fi găzduit în canalul Discord pentru orele de birou. Te rugăm să nu eziti să ne vizitezi și să aduci orice întrebări ai putea avea.
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