# magnitude **Repository Path**: wwjedu/magnitude ## Basic Information - **Project Name**: magnitude - **Description**: Magnitude 是一个开源的代理推理引擎,会针对你的硬件进行优化。 - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2026-10-01 - **Last Updated**: 2026-10-01 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README
Run open models as fast as your hardware allows
Magnitude is an open source inference engine for agents that optimizes itself for your exact hardware. It compiles and tunes its kernels on your device, so open models run up to 2x faster than llama.cpp. One click connects the agent you already use (Pi, OpenCode, Hermes, Codex, and more). Works on Apple Silicon, NVIDIA, AMD, or nothing but a CPU. **[Download Magnitude for macOS, Windows, or Linux](https://magnitude.dev/download)** ⭐ Help us reach more developers and grow the Magnitude community. Star this repo! https://github.com/user-attachments/assets/983328c8-93e8-4360-bfef-11e93ff76035 ## Get started 1. [Download Magnitude](https://magnitude.dev/download), install it, and open the app. 2. Choose a recommended model in **Discover** and download it. 3. Connect your agent in **Connections** and start using it. The desktop app includes the `magnitude` CLI. No separate installation is needed. ## Why Magnitude? - **Up to 2x faster than llama.cpp:** 92% faster decode on Metal, 19% on CUDA - **Tuned on your device:** kernels are tuned on your hardware before a model runs - **Built for the best models:** hand-optimized kernels for popular open-weight families - **Memory that flexes:** 27% less memory per agent, freed when agents stop - **Fast concurrent sessions:** sessions share prefix caches to prevent slowdown - **Works with your agent:** one click to connect Pi, OpenCode, Hermes, Codex, and more - **Free, private, open source:** no token costs, nothing leaves your machine, Apache 2.0 ## Up to 2x faster than llama.cpp