Walrus, the decentralized storage protocol built on the Sui blockchain, just launched something designed to fix that. The MemWal SDK is a developer toolkit that gives AI agents persistent, encrypted memory stored on Walrus’s decentralized infrastructure, complete with semantic search so agents can actually retrieve what they’ve learned.
What MemWal actually does
The SDK stores encrypted memories on the Walrus network and layers semantic search retrieval on top. That means agents don’t just dump information into a blob of text. They can query their own memory intelligently, pulling up relevant context based on meaning rather than exact keyword matches.
Abinhav Garg, Group Product Manager at Mysten Labs (the team behind both Sui and Walrus), framed the core value proposition around openness. The framework allows memory to reside on a data layer that is both open and verifiable, not dependent on any single AI provider’s infrastructure or whims.
The Sui blockchain handles ownership and access control. So users, not corporations, decide who gets to read, write, or share an agent’s memories.
