Platform support
Which operating systems and processors Harn runs on, and what "supported" means for each.
Prebuilt binaries#
The installer picks one of these automatically. Every release publishes all five.
| Target | Operating system | Processor |
|---|---|---|
aarch64-apple-darwin | macOS | Apple silicon |
x86_64-apple-darwin | macOS | Intel |
aarch64-unknown-linux-gnu | Linux (glibc) | ARM64 |
x86_64-unknown-linux-gnu | Linux (glibc) | x86-64 |
x86_64-pc-windows-msvc | Windows | x86-64 |
Two gaps worth naming rather than leaving you to discover them:
- Windows on ARM has no prebuilt binary. Build from source, or run the x86-64 build under emulation.
- Linux builds link against glibc, so musl-only distributions such as Alpine need a source build.
See Getting started for the install commands.
Building from source#
Any platform with a working Rust toolchain can build Harn, including ones with no published binary:
git clone https://github.com/burin-labs/harn.git
cd harn
make setup
A source build is the supported path for the gaps above. It is not a lesser tier: the published binaries are built from the same workspace.
WebAssembly#
Harn builds a wasm32-unknown-unknown module, but be precise about what that
gives you. The WebAssembly target runs portable reducers: self-contained
Harn modules with no host capabilities, compiled into a package and executed in
a browser worker.
It does not run arbitrary Harn programs. Anything that reaches for the filesystem, the network, a subprocess, or a model provider needs a host, and the browser is not one today. Use it for deterministic, pure computation you want to run next to a user interface.
See Run a portable reducer in a browser and Portable execution.
Embedding in another program#
Harn is a Rust workspace, so a Rust application can embed the runtime directly rather than shelling out to the CLI. See Embedding in Rust.
Editors#
Harn ships LSP and DAP servers, so editor support does not depend on a per-editor plugin being written first. See Editor setup for VS Code, Neovim, and Zed.
Models#
Platform support and model support are different questions. Harn talks to
hosted providers, OpenAI-compatible endpoints, and local runtimes, and which
local models are practical depends on your hardware rather than your operating
system. Run harn models recommend to get a specific answer for the machine
you are on, and see Configure a provider.