Integrate Walrus decentralized storage into EVM dApps with Solidity examples, then use agentic coding tools to accelerate your Sui stack builds.
@TheContractHero of @SuiNetwork
The recording is up:
Interestingly @WalrusProtocol can open the door for future-audited and verifiable lightning channels. One can use it to periodically store offchain state, then verify it on Sui or other chains.
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.…
🎤 Walrus asked builders at Sui Live whether agent memory should travel with users across platforms and providers.
Every answer was yes. Shared context across tools, fewer tokens burned re-explaining yourself, agents that pick up where the last one left off.
Memory that lives wherever you signed up first isn't really yours.
Data matters. So does who owns it.
He is the Walrus - played by Mr. Stavely in the 1898 stage production of Alice in Wonderland at the Opera Comique, London. The Oyster was played by either Miss Beaden or Miss De Becker. Hard to tell really.
⚡ NEW: The Walrus Agent Skills page is live, with pre-built skills for building on Walrus that install straight into Claude Code, Cursor, Codex, and other AI coding agents.
We also shipped a Release Notes page, so every Walrus Platform and Memory release now sits in one place with a short note on what changed.
our big bet with WALRUS MEMORY is that memory becomes a fully composable, transactable part of what ai agents need to do in the future
and it's going to be an incredibly valuable asset
and we've built a primitive that lets you fully own and carry it across every agent you use
Our docs have a section called "when not to use Walrus." If you need an in-memory database or ephemeral app state, we'll point you elsewhere.
If you're building autonomous agents coordinating state, and that state has to survive and be provable, start reading. 👇👨💻