AI agents are changing the game in Web3 by 2026. For these agents to really work, they need a way to remember what they learn and do. Centralized storage just doesn’t cut it—too many risks, too much trust in a single point of failure. That’s where Walrus steps in. Built on Sui, Walrus gives AI agents a place to stash their memories for the long haul. It turns regular data blobs into anchored, verifiable assets, so agents can pull up what they need, when they need it, without worrying about tampering or loss. This kind of setup lets AI scale up safely and efficiently, without having to trust middlemen.
Here’s how Walrus works under the hood. It uses something called RedStuff encoding—think of it like giving every file multiple lives. Each file gets chopped into “slivers” with redundancy built in, then spread across a bunch of nodes. You don’t need every piece to put the file back together; just enough slivers will do the job. Sui then checks everything on-chain, handing out certificates once it’s sure the data’s there. Random checks keep everyone honest. The whole thing handles tons of AI data without breaking the bank, while still proving everything’s legit.
The WAL token is the fuel for all of this. It pays for storage, gets burned with each transaction to keep supply tight, and rewards people who stake their tokens and help run the network. If you’re staking WAL, your rewards depend on how reliable your node is. Token holders also get a say in how the system runs—they vote on things like how much redundancy is enough. By early 2026, over a billion WAL is already staked, which keeps the whole ecosystem healthy as AI’s appetite for data keeps growing.
Walrus doesn’t work alone. It connects with other tools—Seal, for example, adds encryption so agents can store private memories, and Nautilus brings in verifiable compute. Swarm Network already uses Walrus for AI logs. Sui’s stablecoin makes payments easy and gas-free, and bridges let Walrus memory spill over into Ethereum.
Imagine an AI agent inside a DeFi app. The developer loads up training data, encodes it with RedStuff, pays with WAL, and locks in storage for years. The data gets split up and spread out, and Sui certifies it all. The agent grabs what it needs in real time, updates its memory through smart contracts, and keeps private logs locked down with Seal. Stakers earn rewards for helping keep the data safe. The result? AI agents that can evolve and learn without anyone tampering with their memories.
Walrus is riding the wave of Web3’s AI boom, especially as more projects integrate it from 2025 onward. Its design gives AI agents in DeFi and beyond a solid, verifiable foundation—right in line with Sui’s focus on speed and efficiency.
Bottom line: Walrus’s RedStuff encoding keeps AI data durable, WAL covers storage and incentives, and ecosystem partners like Seal and Sui’s new features make persistent, useful memory possible for agents.
So what happens when verifiable memory like this lets AI agents work together across different blockchains? And how can governance help Walrus keep up with the wild, changing needs of AI? Those are the big questions now.
