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Filecoin vs Walrus

Both stand on decentralized storage services. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Filecoin

Free plan APILinuxMac+2

Choose Filecoin if your work needs decentralized storage with verification, programmable applications, or one of its listed storage integrations. Compare the specific offering terms before choosing: storage pricing and included free capacity vary, and Lotus node installation is limited to Linux and macOS.

Visit Filecoin

Walrus

Free plan APILinuxMac+2

Walrus combines distributed storage with a memory service for AI agents, backed by Sui access controls. Note the time-limited storage and the Console beta's access and size limits.

Visit Walrus

The facts

FilecoinWalrus
Free planYesYes
Open sourceNot publishedNot published
Runs onAPI, Linux, Mac, Self-hosted, WebAPI, Linux, Mac, Web, Windows
Lowest paid planLighthouse: $12 a monthFree or on request
Plans published71
MakerNot publishedNot published
Websitefilecoin.iowalrus.xyz
On decentralized storage services#5 of 25#9 of 25

Filecoin: what it does well

  • Verifiable storage uses Proof of Replication and Proof of Spacetime.
  • The Filecoin Virtual Machine supports logic, automation, and applications.
  • Onchain Cloud includes verifiable retrieval and programmable payments.
  • Akave lists Snowflake and Apache Iceberg support.
  • CIDgravity lists a Nextcloud integration.

What to know first

  • Filecoin Onchain Cloud requires a minimum of two copies.
  • Lotus node installation does not support Windows.
  • Some listed offerings use custom or enterprise pricing.

Walrus: what it does well

  • Memory supports semantic recall and automatic fact extraction.
  • TypeScript and Python SDKs are available.
  • Access rules allow scoped delegation.
  • Memory is encrypted before storage.

What to know first

  • Storage expires when its paid duration ends.
  • Console beta is closed and invite-only.
  • Console uploads are capped at 100 MiB.
  • Small files carry fixed metadata overhead.

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