MatrixHub开源模型中心 是 AI Skill Hub 本期精选AI工具之一。综合评分 8.2 分,整体质量较高。我们强烈推荐将其纳入你的 AI 工具库,帮助提升工作效率。
自托管的开源AI模型库,兼容Hugging Face生态,支持多种大语言模型推理加速。提供Kubernetes部署方案,适合企业级AI模型服务搭建和私有化部署需求的开发者和运维团队。
MatrixHub开源模型中心 是一款基于 Go 开发的开源工具,专注于 模型中心、自托管、推理加速 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
自托管的开源AI模型库,兼容Hugging Face生态,支持多种大语言模型推理加速。提供Kubernetes部署方案,适合企业级AI模型服务搭建和私有化部署需求的开发者和运维团队。
MatrixHub开源模型中心 是一款基于 Go 开发的开源工具,专注于 模型中心、自托管、推理加速 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
# 方式一:go install(推荐) go install github.com/matrixhub-ai/matrixhub@latest # 方式二:从源码编译 git clone https://github.com/matrixhub-ai/matrixhub cd matrixhub go build -o matrixhub . # 方式三:下载预编译二进制 # 访问 Releases 页面下载对应平台二进制文件 # https://github.com/matrixhub-ai/matrixhub/releases
# 查看帮助 matrixhub --help # 基本运行 matrixhub [options] <input> # 详细使用说明请查阅文档 # https://github.com/matrixhub-ai/matrixhub
# matrixhub 配置说明 # 查看配置选项 matrixhub --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export MATRIXHUB_CONFIG="/path/to/config.yml"
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.
Download the Docker Compose files for a released version and start MatrixHub:
export MATRIXHUB_VERSION=v0.1.1
mkdir -p matrixhub && cd matrixhub
curl -fL \
"https://raw.githubusercontent.com/matrixhub-ai/matrixhub/$MATRIXHUB_VERSION/deploy/docker-compose.yml" \
-o docker-compose.yml
curl -fL \
"https://raw.githubusercontent.com/matrixhub-ai/matrixhub/$MATRIXHUB_VERSION/deploy/config.yaml" \
-o config.yaml
MATRIXHUB_IMAGE_TAG="$MATRIXHUB_VERSION" docker compose up -d
For a newer stable release, replace v0.1.1 with the version you want to run. If port 3001 is already in use, set MATRIXHUB_HTTP_PORT before starting the stack, for example MATRIXHUB_HTTP_PORT=3002.
Open the MatrixHub web console:
http://127.0.0.1:3001
Sign in with the default local credentials:
| Username | Password |
|---|---|
admin | changeme |
Change the default password before exposing the instance outside your local machine.
To stop the local stack:
docker compose down
Currently, the Helm chart supports PVC-backed storage for MatrixHub data. S3-compatible object storage is planned for a future release.
Make sure your cluster has a default StorageClass (kubectl get storageclass), or explicit storage settings for the PVCs this chart creates. For development clusters without a StorageClass, see development-only local storage setup.
MatrixHub publishes its Helm chart to GitHub Container Registry (ghcr.io) as an OCI artifact.
For a newer stable release, replace 0.1.1 with the chart version you want to run:
export CHART_VERSION=0.1.1
export NAMESPACE=matrixhub
Install the chart and expose the service via NodePort:
helm install matrixhub oci://ghcr.io/matrixhub-ai/matrixhub \
--version "$CHART_VERSION" \
--namespace "$NAMESPACE" --create-namespace \
--set apiserver.service.type=NodePort
The default installation uses the cluster's default StorageClass. The MatrixHub data PVC defaults to 50Gi, and the built-in MySQL PVC defaults to 8Gi. To change PVC sizes, add --set apiserver.storage.pvc.size=100Gi or --set mysql.persistence.size=20Gi to the command.
For other storage classes, existing PVCs, and other Helm settings, see the Helm chart README.
With the NodePort installation above, open:
http://<node-ip>:30001
Find a node IP with:
kubectl get nodes -o wide
helm uninstall matrixhub --namespace "$NAMESPACE"
This removes resources including the default PVCs created by the chart. To preserve data, use an existing PVC for MatrixHub data and an external database.
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.
成熟的自托管AI��型解决方案,Go实现性能优异,Kubernetes原生支持,生态兼容性好,适合企业级应用部署。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ Apache 2.0 — 宽松开源协议,可商用,需保留版权声明和 NOTICE 文件,含专利授权条款。
经综合评估,MatrixHub开源模型中心 在AI工具赛道中表现稳健,质量优秀。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。
| 原始名称 | matrixhub |
| 原始描述 | 开源AI工具:An Open-source, self-hosted AI model hub with Hugging Face compatibility, accele。⭐216 · Go |
| Topics | 模型中心自托管推理加速Kubernetes开源 |
| GitHub | https://github.com/matrixhub-ai/matrixhub |
| License | Apache-2.0 |
| 语言 | Go |
收录时间:2026-05-21 · 更新时间:2026-05-30 · License:Apache-2.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。