Apache License 2.0

项目介绍

matrixhub-ai/matrixhub 是一个托管在 GitHub 上的开源项目,主要使用 Go 编写,采用 Apache License 2.0 许可证,目前获得 366 个 Star、47 次 Fork。

仓库全名
matrixhub-ai/matrixhub
开源许可证
Apache License 2.0
Star 数
366
Fork 数
47
未关闭 Issue
205

README 摘要

MatrixHub MatrixHub is an open-source, self-hosted AI model registry engineered for large-scale enterprise inference. It serves as a drop-in private replacement for Hugging Face, purpose-built to accelerate vLLM and SGLang workloads. For target users, use cases, and current capabilities, see the Overview. 🌐 Live Demo Try MatrixHub instantly at demo.matrixhub.ai — no setup required. Sign in with the public demo…

完整内容见 GitHub 原始 README 或本页 。

常见问题

matrixhub 用什么语言开发?

主要使用 Go 编写,采用 Apache License 2.0 许可证,目前有 366 个 Star。

matrixhub 可以免费商用吗?

仓库采用 Apache License 2.0 许可证,可免费使用与修改,商业使用请遵守许可证条款(例如保留版权声明与许可声明)。

如何获取 matrixhub 的源码?

可以直接克隆仓库:git clone https://github.com/matrixhub-ai/matrixhub.git,默认分支为 main;安装与运行步骤见仓库 README。

matrixhub 最近还在维护吗?

仓库最近一次更新为 3 天前,当前有 205 个未关闭 Issue;Star 数为 366,可作为社区活跃度的参考。

关于

An Open-source, self-hosted AI model hub with Hugging Face compatibility, accelerating vLLM/SGLang performance.

描述取自 GitHub 官方 API,中文内容由 GitRead 中文社区 编辑团队整理。

简要分析

热度分
463
价值分
223
活跃状态
活跃

语言占比

CSS
Dockerfile
Go
Go Template
HTML
JavaScript
Makefile
Shell
TypeScript

Release

README

MatrixHub

Ask DeepWiki OpenSSF Best Practices Unit tests codecov

MatrixHub is an open-source, self-hosted AI model registry engineered for large-scale enterprise inference. It serves as a drop-in private replacement for Hugging Face, purpose-built to accelerate vLLM and SGLang workloads.

For target users, use cases, and current capabilities, see the Overview.

🌐 Live Demo

Try MatrixHub instantly at demo.matrixhub.ai — no setup required.

Sign in with the public demo credentials:

Username Password
admin changeme

The demo is for evaluation only and may be reset at any time.

🚀 Quick Start

Follow the Getting Started guide to deploy MatrixHub and cache your first model.

For Docker Compose and Helm commands, see Installation.

For vLLM, SGLang, llm-d, Dynamo, and model distribution examples, see the Integrations guide.

Contributing and Development

We welcome contributions.

See CONTRIBUTING.md for issues, pull requests, reviews, DCO, and release note requirements.

See Development Guide for local setup, testing, and generated code.

See Technical Design Docs for architecture and feature designs.

Community and Support

Join us in GitHub Discussions or the CNCF Slack #matrixhub for questions, ideas, and support.

Security

Please report vulnerabilities according to SECURITY.md.

License

MatrixHub is licensed under the Apache License 2.0.

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