OrionPod

OrionPod

Run AI Locally

A desktop app and a command line for local models.
No cloud. No account. Just your machine.

macOS · Windows · Linux

Features

Everything you need to run AI locally

No internet needed
No cloud dependency
No account

Your Personal AI

AI that lives on your machine and works for you. Offline and always available, in a chat window, a terminal or behind an API for your other tools. No subscriptions, no rate limits, no one watching.

macOS DMG ~59 MB
Windows Installer ~22 MB
Linux deb ~40 MB
Download size · v0.6.0-beta

Lightweight

The app, the command line and the llama.cpp engine in one small download. Nothing else to install.

Native Rust and Tauri, with no Electron shell and no Python runtime. Each model runs in its own engine process, so a crash never takes the app down, and the engine restarts on its own.

Try it out
NETWORK LEDGER
huggingface.comodel download
orionpod.comupdate check
telemetry: none

Private, and you can check

No telemetry, no account. A network ledger lists every outbound connection the app makes, so you don't have to take our word for it.

Metal Vulkan MLX

GPU Accelerated

Metal on Mac. Vulkan on Windows and Linux, so one build covers NVIDIA, AMD and Intel. MLX models on Apple Silicon.

GGUF Fits well
Mistral-7B
4.1 GB · Q4_K_M
GGUF Fits well
Qwen-2.5-7B
4.7 GB · Q4_K_M
GGUF Tight on memory
Gemma-3-12B
7.3 GB · Q4_K_M
GGUF Tight on memory
DeepSeek-R1-14B
8.5 GB · Q4_K_M
GGUF Too large
Llama-3.3-70B
42 GB · Q4_K_M
linked in place from LM Studio Ollama Hugging Face cache llama.cpp Jan GPT4All

Models from anywhere

Browse and download GGUF models from Hugging Face inside the app, split files and vision projectors included. Already have models from another app? Link them without copying a byte. Every model shows how it fits your memory before you load it.

What's 18% of 2,340?
Reasoning
calculator 0.18 × 2340
18% of 2,340 is 421.2.
/skill …

Chat with tools

Streaming chat with saved conversations and collapsible reasoning. Give the model tools from MCP servers, install plugins and skills, and approve what runs.

qwen3-coder generating 41.2 tok/s
llama-3.2-1b ready 96.5 tok/s
nomic-embed ready embeddings

Several models at once

Run as many models as fit, side by side. The Instances page shows each one's health, speed and memory, and they can keep serving after you close the app.

qwen3-coder Fits well
about 19.6 GB needed of 21.4 GB
prefill
1840
generate
41.2
first tok
1180

Fit advisor & benchmarks

See whether a model fits your GPU and memory, with the settings that make it fit and the reasons. Then measure its real speed on your machine.

tokens/s
42.8
live
latency 23ms
memory 2.1G
gpu Metal

Real-time Observability

Tokens per second, latency, memory and GPU, live as your model runs, on a dashboard of glass charts.

See it in Action

A clean, native desktop experience

For developers

More than a chat window

Every model is also a local API server. Drive it from a terminal, run your coding agent on it and see exactly what it did.

Developer tools

Get Started

Up and running in a minute

01

Download

Free, for macOS, Windows and Linux. Open it and you're in. No account to make.

02

Get a model

Pick one in the app's Hugging Face browser, which shows what fits your machine. Already have models from LM Studio or Ollama? Link them in place.

03

Start chatting

Load the model and talk to it. Everything runs on your machine, online or off. Want it in your other tools too? See the developer tools.

System Requirements

macOS
  • ✓ macOS 10.15 (Catalina) or later
  • ✓ Apple Silicon recommended, for Metal GPU acceleration
  • ✓ Intel Macs work too
Windows
  • ✓ Windows 10 or 11 (x64)
  • ✓ A Vulkan-capable GPU driver (NVIDIA, AMD or Intel) for GPU acceleration
  • ✓ Without one, models run on the CPU
Linux
  • ✓ x64 with glibc 2.35 or newer (Ubuntu 22.04, Debian 12)
  • ✓ WebKitGTK 4.1
  • ✓ A Vulkan-capable GPU driver for GPU acceleration

8 GB of RAM is a comfortable minimum for 7B models. The fit advisor tells you how any model fits before you load it.

FAQ

Common questions & troubleshooting

macOS says OrionPod "can't be opened" — what do I do?

Because OrionPod isn't signed with an Apple Developer certificate (yet), macOS Gatekeeper blocks it on first launch. This is normal for indie apps. Here's how to install it:

  1. 1.
    Open the DMG: double-click OrionPod_0.6.0_universal.dmg
  2. 2.
    Drag OrionPod to Applications: standard DMG install.
  3. 3.
    First launch will be blocked: macOS shows: "OrionPod can't be opened because Apple cannot check it for malicious software."
  4. 4.
    Open it anyway: pick one of these:

    OPTION A Easiest

    • → Right-click (or Control-click) OrionPod.app → click Open
    • → Click Open in the dialog that appears
    • → Only needed once — future launches work normally

    OPTION B If Option A doesn't work

    • → Go to System Settings → Privacy & Security
    • → Scroll to the Security section
    • → You'll see: "OrionPod was blocked from use because it is not from an identified developer"
    • → Click Open Anyway
    • → Enter your password
    • → Click Open in the final confirmation
  5. 5.
    Done!: OrionPod launches and works normally from now on. 🎉
What models can I run?

Any GGUF model that fits your machine: Llama, Qwen, Mistral, DeepSeek, Gemma and whatever llama.cpp supports next, since each model runs with its own chat template. Browse and download them from Hugging Face inside the app or with orionpod pull, or link the ones LM Studio, Ollama, Jan, GPT4All or the Hugging Face cache already downloaded, without copying them. On Apple Silicon, MLX models run too with the optional MLX engine.

Is it really private?

Yes. Models run on your machine, and there is no account, no telemetry and no analytics in the app. OrionPod only goes online for things you ask for, like downloading a model or checking for an update (which you can turn off), and a network ledger in Settings lists every outbound connection it made, so you can check. Read our privacy policy. It's short, because there's nothing to collect.

What hardware do I need?

A Mac on macOS 10.15 or later (Apple Silicon recommended, for Metal), a Windows 10 or 11 PC (x64), or Linux (x64, glibc 2.35 or newer). On Windows and Linux, GPU acceleration uses Vulkan, so one build covers NVIDIA, AMD and Intel GPUs. Without one, models run on the CPU. For 7B models, 8 GB of RAM is a comfortable minimum, and the fit advisor tells you how any model fits before you load it.

Is OrionPod free?

Yes. OrionPod is free, an individual project built with love: no subscriptions, no paywalls, no premium tiers. Its agent engine, orion-core, is open source under the MIT license.