Put your data to work across apps and AI tools, and keep building on it as your stack evolves. Walrus Console gives you one place to store, protect, and connect your data.
Up to 5 GB free • Google or Apple sign-in
Your product accumulates files, context, and history that become your edge. But when apps and permissions are built around one provider, that data becomes harder to use anywhere else.
Walrus Console pairs familiar file management with an AI-ready data foundation to help you build more capable apps and agents.
Use data across
supported apps
Keep your data private
by default
Verify data integrity independently
to your next
workflow
> store & manage
Spend less time setting up storage and more time building. Sign in, upload your files, and manage folders through one familiar interface.
Upload, organize, and find files through a visual interface
Manage API keys and storage usage in the same place
> connect
Keep the same files useful across apps and AI tools as your stack evolves.
Manage your data through the Console API
Connect Claude Code, Cursor, and other MCP-compatible tools
> protect
Protect important files without adding extra steps to your workflow.
File encryption applied to every upload
No manual encryption setup or key management
> prove
With Walrus Console, data integrity, and availability can be independently verified.
Confirm that retrieved files match what was stored
Verify that files remain stored and available
> remember
Get a clearer view of the data your agents depend on, from stored files to the context and memories they carry between sessions.
Connect an existing Walrus Memory account
View agent memories alongside your files
Choose a set of files. Connect an app or AI tool.
See how Walrus Console fits your workflow before expanding.
Up to 5 GB free • Google or Apple sign-in
Walrus is the data platform built for the demands of AI. It lets builders, enterprises, and AI agents move data across apps and models, protect it with built-in access rules, and make it verifiable by anyone. As AI takes actions with consequence, the data it runs on has to be provable. It was created by the cryptographers and distributed-systems engineers behind Sui and Meta's first stablecoin initiative.
Walrus Console is the managed way to build on Walrus – one place to store data and agent memory, connect it to your apps and AI tools through an API key or MCP, and control who can access data. Files you upload through Console are encrypted by default and remain independently verifiable on Walrus.
Files are stored on Walrus, the data platform built for the demands of AI. Walrus Console applies file encryption to every upload and keeps your files private by default, with no manual encryption setup or key management on your side. Because Console is backed by Walrus, your data's integrity and availability can be independently verified.
Walrus Console is a visual interface for working with Walrus, alongside the existing CLI, SDKs, and APIs. It handles credentials, transactions, and storage renewals for you, while preserving direct protocol access whenever you need it.
For autonomous AI agents, data storage works by keeping their files in one managed place they can read from and write to directly. Connect your agents to Walrus Console through MCP, and they can access the files you've set up for them across sessions and runtimes, with Console surfacing existing Walrus Memory data alongside those files in one place.
Cloud storage ties your data to one provider's APIs, permissions, and infrastructure. Moving it later means migrations and rewrites, and you're depending on that provider's own systems to confirm your data is still intact.
Walrus Console gives you a familiar developer experience backed by Walrus, so your data stays portable, protected, and independently verifiable.
You build trustworthy AI systems on Walrus Console by giving them data they can independently verify rather than take on trust. Because Console is backed by Walrus, your agents and tools can confirm that files match what was stored and remain available, and they connect to that data directly through MCP. Every upload is encrypted and private by default, so the data your systems depend on stays protected with no extra setup.
Getting started takes a few minutes. Sign in with your Google or Apple account and you can upload files and organize them into folders right away, all from the same interface where you manage your API keys and storage. From there, connect Claude Code, Cursor, and other MCP-compatible tools, or manage the same data through the Walrus Console API. When you sign up, you get up to 5GB of free storage to build with.
