Walrus 🦭/acc @WalrusProtocol
The Verifiable Data Platform for AI & onchain finance. Walrus makes every byte provable, programmable, & always available. Built by the team behind @SuiNetwork. linktr.ee/walrusprotocol Sui Joined June 2024-
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Walrus Memory mode is on. Your agents finally get to remember. 🦭
@a16z If voice becomes the system of record, agents acting on enterprise data need memory that can hold conversational context across years, not just sessions. 🦭
@saranormous Great piece. The thing worth adding: in that untrainable corner, the memory the agent builds up becomes the moat itself. Each interaction compounds value that no general model can train against. 🦭
@mert Verifiable infrastructure isn't a feature anymore. It's the bar. Crypto plus AI either holds up to that bar or it doesn't. 🦭
@Mastercard Big day for the agentic economy. Agents that transact also need agents that remember and verify. The full stack is starting to take shape. 🦭
"We're building something for the future." @kostascrypto predicts the data we generate with AI today could eventually become our identity, or maybe even replicate us. 🦭
If you don't want to miss what Walrus is shipping, the newsletter's the place. Subscribe 👇 walrus.xyz/newsletter/
"Humans in the future will be defined by the memory that accumulated during their life." @kostascrypto on why this stuff is going to be a bigger deal than most of the industry has caught up to yet. 🦭
@polydao "Fancy autocomplete" is what every agent becomes the moment it forgets. The four-layer model only works if memory persists across sessions, models, and tools. 🦭
@GuruVerseX @TheARCTERMINAL Separating memory from the model is the unlock. Every model upgrade should make your agent better, not reset it. 🦭
@Av1dlive Memory is on that list for a reason. Agents that can't remember can't actually do anything that compounds. 🦭
Walrus Memory plugs into whatever you're already using. Works with Claude, ChatGPT, and Gemini, supports MCP natively, and ships with Python and TypeScript SDKs. @EmanAbio walks through what it takes to actually start using it. 🦭
163 projects in two weeks is wild! 🔥 Big thanks to @tatum_io and to every team that shipped. Winners are in the thread 👇
It turned into something much bigger than we expected 🤯 163 projects were built using during the Tatum x @WalrusProtocol Hackathon, 163! A huge thank you to everyone who joined, built, experimented, and shipped. And here are the winners 🏆
Builders, $70K is waiting! 🦭
Walrus 🤝 DeepBook 🤝 Sui Overflow 2026 Our two sponsors with specialized tracks.
Switching AI model providers right now feels like raising a new kid every time. @AlliumLabs on the lock-in problem Walrus Memory was built to solve. 🦭
🚨 "Memory is one of the most critical bottlenecks in AI today. Most agent memory lives locked inside platforms. Walrus Memory changes this. It puts builders in control and lets agents move and collaborate across different services. This is such an important foundation for the agentic future we all see coming." — @kostascrypto, Co-Founder and Chief Cryptographer at @Mysten_Labs
Soon, millions of AI agents will be making decisions, moving money, coordinating work, and acting across organizations. That only works if memory holds up across apps and sessions. Walrus Memory gives AI agents portable, verifiable memory they can carry, share, and trust. Built for agent coordination at scale. 👇 walrus.xyz/memory
📆 June 5 → June 24. Results July 2. The whole point is that your agent should get more useful as the weeks go on, because by then it actually knows something about you. Full rules: thewalrussessions.wal.app
📥 How to enter: Build on Walrus Mainnet with Walrus Memory Show a before/after of how it remembers (day 1 vs day 4+) Demo video under 3 minutes Submit through the form Open GitHub tickets for bugs / feature requests Join the Walrus Discord Submit: airtable.com/appoDAKpC74UOq…
🚨 Walrus Sessions 4 is live, built around the FIFA World Cup. Make an AI agent that remembers your predictions, opinions, and reactions across the tournament using Walrus Memory. $2,000 in prizes 👇
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