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Walrus – Long-Term Memory Infrastructure for On-Chain AI Agents
In the world of Web3 AI agents, reasoning ability or automation is just the surface. The key factor determining whether an AI agent can exist sustainably is long-term memory. Without memory, AI is just an intelligent response system in the moment, but lacks depth over time.
@WalrusProtocol appears as a storage infrastructure layer dedicated to this problem. Instead of just “storing files,” #Walrus allows separating memory from execution: data is stored off-chain to optimize cost and performance, but is identified, referenced, and

Walrus Built for Big Data Applications, Not Just Token Transfer
@WalrusProtocol is a next-generation decentralized storage protocol optimized for unstructured data such as videos, images, AI datasets, and large files. Running on Sui, #Walrus uses blob storage models for efficient storage and erasure coding to distribute data across multiple nodes, helping data remain recoverable even if part of the network encounters issues. This design aims for low-cost storage, censorship resistance, and independence from centralized cloud providers.
$WAL is the native token of Walrus, used for staking and

Walrus – Decentralized Data Storage Platform for Web3
@WalrusProtocol is built to address one of the most overlooked issues in Web3: reliable and sustainable decentralized data storage. Instead of viewing storage as just a supporting service, Walrus places data at the core of the protocol, with clear rules and economic incentives to ensure availability and transparency.
On #Walrus, data is distributed across multiple independent providers, enabling verifiable access and reducing reliance on centralized infrastructure. The network is designed so that storage providers are accountable, data life