# Magnitude: Run Your Agent on Local Models, Tuned to Your Exact Hardware

> Source: <https://themenonlab.blog/blog/magnitude-local-model-inference-engine/>
> Published: 2026-10-06 00:00:00+00:00

# Magnitude: Run Your Agent on Local Models, Tuned to Your Exact Hardware

The pitch is simple, and it’s one more teams are landing on: *you already own the computer — now it can do more of the work.* [Magnitude](https://github.com/magnitudedev/magnitude) is an open-source inference engine that runs the best local models for your hardware and plugs straight into the agent you already use.

## Why that’s useful

- **Run models on your own computer.** No cloud round-trip for inference.
- **Avoid per-token API charges** for anything you run locally.
- **Work offline** once everything’s downloaded — prompts, files, and models never leave your machine.
- **Switch models without changing your agent.** The agent points at one endpoint; you swap what’s behind it.

Magnitude also **unloads models when they’re idle or your memory gets tight**, and shares prefix caches across concurrent sessions so parallel agents don’t grind each other to a halt. Performance depends on your hardware and the model you choose — but the whole point is that it’s *your* hardware.

## The part that’s actually novel

Most local engines ship kernels precompiled for broad classes of hardware and hope they fit. Magnitude **compiles and tunes its kernels on your actual device before a model runs**, so they fit your exact chip. The claimed result against llama.cpp:

- **Up to 2x faster** overall
- **92% faster decode on Metal** (Apple Silicon)
- **19% faster on CUDA** (NVIDIA)
- **~27% less memory per agent** , reclaimed when agents stop

They get there by hand-writing optimized kernels for the most popular open-weight model families (Qwen, DeepSeek, Gemma, and friends) rather than staying fully generalist — which is how a specialized engine beats a general one.

## How you use it

1. **[Download Magnitude](https://magnitude.dev/download)** for macOS, Windows, or Linux, install it, and open the app. The desktop app bundles the`magnitude` CLI — no separate install.
2. **Pick a recommended model in Discover** and download it. Magnitude profiles your machine and only suggests models that actually fit.
3. **Connect your agent in Connections** and start working. One click wires up Pi, OpenCode, Hermes,**OpenClaw** , Codex, Claude Code, Oh My Pi, or Cline. Anything else talks to it over the OpenAI-compatible API.

## Why it matters

Local inference has always carried a tax: either you fight with a generalist runtime that leaves performance on the table, or you hand-tune kernels you don’t have time to maintain. Magnitude’s bet is that the tuning should happen automatically, on your box, for your silicon — and that the agent layer shouldn’t have to care which model is behind the endpoint. Free, private, Apache-2.0, and it works with the agent you’re already running. Worth a slot on any local-first setup.

**Repo:** [github.com/magnitudedev/magnitude](https://github.com/magnitudedev/magnitude) · **Site:** [magnitude.dev](https://magnitude.dev)