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Xet storage protocol docs for deduplicated model data

Documentation for the Xet content-addressed storage protocol and its reference implementations. It is aimed at developers building clients or tools that upload and download data from Hugging Face Hub using Xet.

Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric →

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About

What It Is

Xet is a storage protocol and client implementation layer from Hugging Face for content-addressed data. The documentation describes how Xet handles chunking, hashing, deduplication, file reconstruction, authentication, and CAS APIs for upload and download.

What to Know

This is not a general AI agent product. Based on the crawled content, it is infrastructure for storage interoperability and deduplication, not a tool that autonomously completes tasks for you. Its value is in enabling consistent upload/download behavior and efficient storage across clients.

Key Features
Content-defined chunking for storage efficiency
Chunk-level and global deduplication
Xorb and shard binary formats
Upload and download CAS APIs
Authentication and authorization via Hugging Face tokens
Use Cases
Building a custom client that can upload files to Hugging Face Hub using Xet
Implementing a download tool that reconstructs files from Xet storage
Integrating Xet support into an SDK or automation pipeline
Agenticness: Guided Assistant

Executes tasks you assign, one step at a time, within narrow domains.

High evidence
Last evaluated: May 22, 2026

Dimension Breakdown

Action Capability
Autonomy
Adaptation
State & Memory
Safety

Categories

Pricing
  • Pricing not publicly available: No pricing details were found in the crawled content.
Details
AddedMarch 31, 2026
RefreshedApril 13, 2026
Agenticness
Quick Facts
DeploymentHybrid (cloud + self-hosted)
AutonomyCopilot (human-in-loop)
Model supportMulti-model
Open sourceYes
Team supportSmall team
Pricing modelSubscription
Interfaceapi, cli, browser

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