matrixhub: Speed AI Performance
From the repo · “An Open-source, self-hosted AI model hub with Hugging Face compatibility, accelerating vLLM/SGLang performance.”
Matrixhub is an open-source hub that accelerates AI model performance, particularly for very large language models (vLLM) and SGLang, with compatibility with Hugging Face models.
- •When you need to improve the performance of your AI models for natural language processing tasks
- •When you are using Hugging Face models and want to optimize their performance
- •When you require a self-hosted solution for managing and accelerating your AI models
Run the command `./matrixhub serve --model-name huggingface/transformers --model-type bert-base-uncased` to start the matrixhub server with a pre-trained BERT model
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/matrixhub && curl -fsSL https://workflowstacks.com/api/skills/matrixhub/claude-skill -o ~/.claude/skills/matrixhub/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Matrixhub: Speed AI Performance is a very large Go project (~98k lines across 579 code files, plus 277 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2AGENTS.mdThe instructions the AI actually follows
- 3cmd/matrixhub/main.goWhere the program starts running
- 4go.modDependencies and the commands it exposes
- 5internal/apiserver/apiserver_test.goInside internal/ — the main logic begins here
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/matrixhub && curl -fsSL https://workflowstacks.com/api/skills/matrixhub/claude-skill -o ~/.claude/skills/matrixhub/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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