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ArcFlare
Install#
The installer needs no root or admin. If you don't have Node.js 18 or newer, it installs a private copy (checked against nodejs.org's checksums) just for ArcFlare. It then downloads llama.cpp, the engine that runs models, for your machine and checks it against the SHA-256 GitHub publishes for it; an engine you already have is left alone. Skip that with --no-engine ($env:ARCFLARE_NO_ENGINE=1 on Windows).
macOS / Linux
curl -fsSL https://arcflare.net/install.sh | shWindows (PowerShell)
irm https://arcflare.net/install.ps1 | iexAlso download a model that fits your GPU (opt-in; it is a large download)
curl -fsSL https://arcflare.net/install.sh | sh -s -- --model$env:ARCFLARE_MODEL=1; irm https://arcflare.net/install.ps1 | iexIt picks the largest general or coding model that fits your free GPU memory and is fine for commercial use; the same choice is arcflare shop best (add --dry-run to see it first).
The desktop app instead (Linux: pacman, apt or AppImage; macOS)
curl -fsSL https://arcflare.net/install-desktop.sh | shThe desktop app on Windows (checks the download, skips the SmartScreen warning)
irm https://arcflare.net/install-desktop.ps1 | iexFrom source
git clone https://github.com/Hakeperty/ArcFlare-Code.git && cd ArcFlare-Code && npm linkThen check the engine, your GPU and every harness at once:
arcflare doctor✓ llama-server C:\Users\you\llamacpp\vulkan\llama-server.exe ✓ backend vulkan AMD Radeon(TM) 8060S Graphics (active) ✓ memory balanced profile ✓ device memory 45.4 GB free ✓ models 4 found ✓ OpenCode ...\node\opencode ✓ mcp server 29 tools · arcflare mcp
No llama.cpp yet?
The installer fetches it for you. If that step was skipped or failed (offline, a GitHub rate limit), one command downloads the right prebuilt build for your machine (Metal on macOS, Vulkan or CPU on Linux, CUDA or Vulkan on Windows) and sets it up:arcflare engine install. Already have one somewhere else? Point ArcFlare at it with arcflare set-engine /path/to/llama-server.Your first run#
Start with no arguments. The menu walks you through a harness, a model and a context size, and remembers your choices for next time:
arcflareNo models yet? Open the shop: it shows which models fit your GPU and downloads the one you pick.
arcflare shopOr pull a GGUF from Hugging Face directly, then chat with it:
arcflare pull unsloth/Qwen3.6-35B-A3B-GGUF:Q5_K_XLarcflare run qwen3.6-35b-a3bInside a session, /rc connects your phone, /update installs a new version, and /bye leaves.
Prefer an app?#
ArcFlare Desktop does all of this in a window for Windows, macOS and Linux: chat, a studio for images, 3D and speech, flows, one-click harnesses, and a QR code to use it from your phone. It shares models and settings with the CLI, and updates itself.
What changed lately is on the changelog, straight from the repositories.
Brand new to this?#
Read New to ArcFlare? Here's everything you need to know. It covers what your computer needs, picking a model, the commands you will use, and the jargon, in plain words.