LM-Kit One · Download

Arriving September 15.

Signed packages for Windows, Linux and macOS land on this page at launch. Below is exactly what ships.

Plan a production deployment See LM-Kit One
Five signed packages Free to build and evaluate No activation, no time limit

What ships on launch day.

Every package carries the full server: inference, documents, search, agents and the admin console, with nothing else to install.

Windows

Windows x64

An Authenticode-signed installer, or a portable archive that runs from any folder. Runs as a Windows service or for a desktop session.

September 15, 2026

Windows

Windows Arm64

The same signed installer and portable archive, built natively for Arm64 machines.

September 15, 2026

Linux

Linux x64

A self-contained archive: unpack it and run the server, with nothing else to install.

September 15, 2026

Linux

Linux Arm64

The same self-contained archive, built natively for Arm64 servers and boards.

September 15, 2026

macOS

macOS Apple Silicon

A Developer ID-signed package, notarized and stapled, verified per release.

September 15, 2026

Windows installers are Authenticode-signed and the macOS package is notarized. SHA-256 checksums, an SBOM and release notes are available for every release; the Trust Center covers signing and verification.

What it runs on.

A fresh install listens on the local machine only, and the console prices each model against your hardware before you download it.

Operating systems
Windows x64 / Arm64 · Linux x64 / Arm64 · macOS Apple Silicon
Run modes
Windows service · desktop session · Linux and macOS daemons
Acceleration
CUDA · Vulkan · Metal · CPU AVX/AVX2 fallback

Ready before the packages are.

The launch build installs in minutes; the preparation you can do today is what makes the first hour count.

Available today

The same engine, on NuGet

LM-Kit.NET ships the identical document intelligence engine as an in-process SDK, free to build and evaluate right now.

dotnet add package LM-Kit.NET Download LM-Kit.NET

Prepare

Walk the first hour

The quickstart shows the three outcomes worth proving on day one: extraction, cited answers, a client repointed.

Follow the quickstart

Verify

Check your clients now

The coverage matrix states every OpenAI, Anthropic and Ollama endpoint the server answers, and every one it does not.

Read the coverage matrix

Assess

Start the security review

Seven separately controlled boundaries, stated for the people who sign off, so approval work can begin before launch.

Read the security page

LM-Kit One

Be running in the first hour of launch.

Follow the quickstart Read the coverage matrix