Filebase vs Walrus

Filebase provides S3-compatible object storage and IPFS storage through web and API access. Its S3 API handles uploads, downloads, listings, multipart uploads, pre-signed URLs and CORS, and works with tools such as AWS CLI and SDKs, rclone, s3cmd, Cyberduck, WinSCP, Veeam, Commvault, Synology Cloud Sync and TrueNAS. IPFS features include pinning, IPNS names, dedicated gateways, static-site hosting and IPFS APIs. A CDN is included, with bucket access routed through one global S3 endpoint. Server-side AES-256 encryption is always enabled and TLS covers data in transit. The Free plan costs nothing and includes 5 GB shared storage, 500 pinned files, 10 GB IPFS egress, free object egress and one bucket. Pro costs $7.50 a month and includes 500 GB, unlimited pinned files, 250 GB IPFS egress and 100 buckets. Enterprise pricing is volume-based and unlisted.

Walrus is a verifiable data platform for storing and managing data across apps, providers, and agents. Its decentralized storage protocol is coordinated onchain through Sui. Storage costs $0.023/GB/month, paid in WAL, with SUI used for transaction gas; stored data expires when its paid duration ends. Walrus Memory is intended to give AI agents persistent, portable memory across apps and sessions. It supports semantic remember and recall, automatic fact extraction, and generated answers grounded in stored memories. Listed integrations include native MCP support, plugins for OpenClaw and NemoClaw, and compatibility with major LLMs. Developers get TypeScript and Python SDKs, a relayer, smart contract, indexer, and dashboard. Memories are encrypted before storage and decrypted only for an authorized signed request; Sui contracts enforce ownership and programmable access, including scoped delegation. The separate Walrus Console is in a closed, invite-only Mainnet beta, with each space limited to 5 GB and five folders and uploads capped at 100 MiB. Walrus Memory has a launch-period free plan, with usage limits that may change.