Magnitude（YC S25）发布可自优化的开源 Agent 推理引擎
Launch HN: Magnitude (YC S25) – Self-optimizing inference engine for agents
Magnitude（YC S25）发布开源推理引擎，在本地设备上编译调优内核，宣称比 llama.cpp 快最多 2x（Metal 上 decode 快 92%，CUDA 上快 19%）。
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
⭐ Help us reach more developers and grow the Magnitude community. Star this repo!
demo-9-29.mp4
Get started
- Download Magnitude, install it, and open the app.
- Choose a recommended model in Discover and download it.
- 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
FAQ
What is Magnitude?
An open source inference engine that optimizes itself for your hardware. It ships as a desktop app that runs open models and connects them to the agent you already use.
How is it faster than llama.cpp, Ollama, or LM Studio?
They ship kernels precompiled for broad classes of hardware. Magnitude compiles and tunes its kernels on your actual device before a model runs, so they fit your exact chip. See the benchmarks against llama.cpp.
What hardware do I need?
Any Apple Silicon, NVIDIA, or AMD GPU, or nothing but a CPU. There is no fixed minimum. Smaller machines run smaller models, and more memory lets you run larger ones.
What operating systems does it support?
macOS, Linux, and Windows.
Which models does it support?
See the full list at magnitude.dev/models. We write optimized kernels for the most popular open-weight families, which is how we beat generalist engines.
Which agents work with it?
One click connects Pi, OpenCode, Hermes, OpenClaw, Codex, Claude Code, Oh My Pi, and Cline. Anything else works through the OpenAI-compatible API.
Is it private?
Yes. Prompts, files, and models stay on your machine. No internet needed once a model is downloaded.
来源：Hacker News：AI 热帖 · github.com