OpenXet

OpenXet is an open-source server and client for chunk-deduplicated storage of large, versioned files.

OpenXet provides an open-source server and client for the Xet protocol, enabling chunk-deduplicated storage for large, versioned files such as models and datasets. The storage server works directly with stock hfxet for uploads and downloads with global deduplication, verified uploads, scoped tokens, and signed download URLs. It runs on local disk with a SQLite index and achieves fast file reconstruction. Future milestones add the Hub API to support huggingfacehub and Git, alongside S3, GCS, Azure, and Postgres backends. It is designed for developers managing large files who want to keep data in their own buckets.

OpenXet at a glance

Best for: Software engineer
Runs on: self-hosted, open source, CLI
Pricing: Free
Released: October 2026
Category: AI coding tool
Website: github.com/stubbi/openxet

Key features

Chunk-deduplicated storage for large files
Direct integration with stock hfxet
Global data deduplication
Verified uploads and scoped tokens
Signed, range-bound download URLs
Local disk storage with a SQLite index

Use it for

Store and version large AI models and datasets
Manage large files that change over time
Host a self-hosted storage server for Xet protocol clients

Alternatives to OpenXet

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openGym — Zero subscriptions, accounts, or telemetry, with support for bring-your-own AI coaching.
OpenSandbox — Provides isolated environments with multi-language SDKs and lifecycle management.
Git AI — It moves work to the server and handles concurrent tasks without standard Git bottlenecks.
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Open Bridge — Keeps your repos, tasks, and work logs in context across coding sessions.
Weft — It enables safe parallel coding agent work without file locks.
Graft — Reduces tool calls by 46% and lowers latency by 60% for coding agents.
OpenClaude — Connects one terminal interface to over 200 different AI models.
OpenRouter — Access over 500 models and 80 providers through one unified API.

All OpenXet alternatives