Joined June 2024
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Today, we're going after one of AI's most important unsolved problems. Introducing: Walrus Memory. 🦭 A portable memory layer that lets your AI agents carry context across every app you run them in. No more starting from zero. No more being locked into one platform. Portable, verifiable, and fully under your control. Take your agent's memory anywhere:
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Dear algorithm, Please share this post with AI agent builders shipping in TypeScript or Python on LangGraph, CrewAI, and LlamaIndex. They need their agents to remember what was learned in the last session, persist context across runtimes, and stop starting from zero on every new run. 🦭🙏
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Walrus 🦭/acc retweeted
Mysten Labs (@Mysten_Labs) Co-Founder Kostas (@kostascrypto) argues that your AI memory could soon become more valuable than all of your historical online data combined: "Agents are amnesiacs. You start a new session, they don't remember you, and they don't know your preferences." "Everything your agent has learned from you, for your work, your preferences and your own secrets, is arguably more valuable than your data ever was in the past, including your social footprint, emails and search history." "That's why we built memory around four principles: portability, verifiability, encryption and programmability." "For the first time, people can have real cryptographic ownership of their digital identity rather than relying on passwords and fragmented accounts."
One truth just discussed in @etnshow For years, people worried about what they posted on social media. Their photos, likes, comments, and social graphs became the product. The AI era changes everything: For the first time, we're not just sharing our actions, we're sharing our thoughts, intentions, goals, fears, ideas, and reasoning. AI memory is becoming a digital extension of our minds, yet very few people think about who controls it, who can access it, how and when it's shared, or where it lives. After spending many years at Meta as a lead cryptographer enhancing people's privacy, the more I think about it, the more I realize that AI memory may become even more sensitive than social media ever was... That's why Walrus Memory is more important than even I originally believed.
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A session ends. The context goes with it. Walrus Memory keeps it. Two calls into your agent and the memory is still there next time you run it. Learn more 👉 walrus.xyz/memory
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"Data is the new gold." @kostascrypto makes the case it has to be built without single points of control. 💭
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Message to builders: Build agents. Add memory. Repeat. 🔁🦭
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Your AI memory is going to be more valuable than your Facebook, Google, or email footprint ever was. That's the bet @kostascrypto, Co-Founder and Chief Cryptographer at @Mysten_Labs, is making. Catch him on @etnshow at 1:27:45 explaining how Walrus Memory makes that real. 🙏
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Lovable $500M ARR, Fable 5, UK AI Minister Joins, OpenAI Price Cuts x.com/i/broadcasts/1pKdRRoeM…
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Here's the bet: a few years from now, the hardest thing to copy about an agent won't be the model running it. It'll be everything the agent has picked up from working with you over time. The models keep getting cheaper. The memory built up around them keeps getting more valuable. 🦭
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Walrus Memory mode is on. Your agents finally get to remember. 🦭
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"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. 🦭
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If you don't want to miss what Walrus is shipping, the newsletter's the place. Subscribe 👇 walrus.xyz/newsletter/
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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. 🦭
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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 🏆
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Builders, $70K is waiting! 🦭
Walrus 🤝 DeepBook 🤝 Sui Overflow 2026 Our two sponsors with specialized tracks.
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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. 🦭
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🚨 "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
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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
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🚨 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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📥 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/appoDAKpC74UOqo…

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📆 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

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"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. 🦭
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Private AI 🤝 Portable agent memory
Introducing OpenGradient Chat, a privacy-first generative AI platform. Every frontier model in one app. We can't read what you type, and neither can anyone else. Finally, an AI you can tell anything. (1/n)
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