水貨人生｜WAL幣少年｜🇹🇼 @wal_future
@WalrusProtocol Believers | 本來應該從從容容游刃有餘，現在是匆匆忙忙連滾帶爬。 | SUI Joined May 2024-
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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
Bear markets separate the teams who build from the teams who tweet. We chose building. Heads down, every day, on infrastructure most people won't appreciate until the moment they suddenly need it. That moment is coming faster than the market thinks.
⚡️ LATEST: @EmanAbio walked through what actually sets Walrus Memory apart, and it comes down to three things: - PORTABILITY: Your agent's memory moves with you across apps and runtimes - PROGRAMMABILITY: The access controls travel with the data instead of sitting on someone else's platform - MULTI-AGENT COLLABORATION: Agents can finally share memory and collaborate without having to trust each other or the storage underneath Worth watching 👇
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:
I posted about @WalrusProtocol 2 weeks back. While drafting that, I came across a research paper they dropped in April. Finally sat down with it. TL;DR ↓ • Every decentralized storage network has the same problem: How do you keep data safe without making 25 copies of everything? • Arweave: Just make 25 copies. Safe, expensive. • Storj/Sia: chop files into pieces, 3 copies worth. Cheap, but if a node dies you have to download the whole file to rebuild its piece. Brutal at scale. • Walrus: 4.5 copies worth, but when a node dies, the replacement only downloads a tiny fraction of the file to rebuild what was lost. • Imagine the file as a grid instead of a list. Each node holds one row and one column. Lose a node and the new node grabs one cell from each surviving node, enough to mathematically reconstruct the missing row and column. When storage nodes swap in or out, most protocols pause writes during the handoff. Walrus doesn't. New writes go to the new nodes, old reads stay with the old. Every file is tagged with when it was written so clients know where to look. Decentralized storage used to force tradeoffs of low cost, fast recovery, OR no downtime. Walrus’ architecture somehow managed to get all three done. Disclosure: I’m holding $WAL
Imagine an AI agent kept a diary: Monday: "Started new project with user. Seems cool." Tuesday: "Started new project with user. Seems cool." Wednesday: "Started new project with user. Seems cool." This is how most production AI agents work today: no real memory between
🦭 UPDATE: Predictable pricing is live on Walrus. No more token-price guesswork. Storage on Walrus is now fixed at $0.023/GB/mo, so your costs stay predictable as you scale. Same price as centralized providers but with data portability, verifiable integrity, and programmable access controls built in. Learn more 👇
🎤 @EmanAbio on MemWal: you decide what gets stored, what gets released, and what gets deleted. Long-term agentic memory, finally on your terms. “Watch out for Walrus.”
Agents forget everything between sessions, which means that they can't build on past work, and you can't really hand them anything that takes more than one shot. Our new plugin for NemoClaw and OpenClaw fixes that memory problem. Agents save structured memories to Walrus and pull them back next run. Workflow checkpoints happen automatically. 🦭
A LOT happened in year one! 🎉 To mark our mainnet anniversary @GDanezis and @RJ_Simmonds sat down to talk all things Walrus: - Lessons and breakthroughs - Agentic memory - Where AI infra is headed - Why Verifiable Data changes everything Full video dropping soon. 🎥
⚡️ JUST IN: Our research paper, "Walrus: An Efficient Decentralized Storage Network," has been accepted at ACM CCS 2026, one of the top security conferences in the world. The science behind verifiable data is being recognized where it matters. 🦭
🚨 Switching devices and losing your entire chat history is one of the most annoying things in tech that we've just come to accept as normal. But it doesn't have to be. The Messaging SDK Beta uses Walrus for Seal-encrypted attachments and message recovery, so users can restore conversations across devices without relying on centralized backups or trusted messaging servers.
Messaging SDK Beta is live on @SuiNetwork & @WalrusProtocol Mainnet. Tools for E2E encrypted messaging, rebuilt from the ground up. More scalable. Cheaper to run. Ready for the real world. 🧵
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