Everything you need to run AI on your own machine

Private, offline and open-source — from 1000+ local models to a built-in API. No cloud required.

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Offline AI

Run models with the internet off — nothing ever leaves your machine.

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Private AI

Conversations and keys stay on your device. No account, no telemetry.

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Dark banner showing integration logos: Slack, Figma, GitHub (x2), Gmail, a blue circular icon (likely Linear or similar), Google Drive, Notion, and an orange asterisk logo, arranged in overlapping circular bubbles.

MCP connectors

Connect to your email and 1000+ apps — Google Drive, GitHub, Notion, Slack and more.

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Dark background collage of eight AI/tech tool logos arranged in circular bubbles: a blue geometric star (likely Gemini or similar), Meta's infinity logo, a "K" with blue dot (Klaviyo), a 3D purple geometric shape (likely a framework logo), a blue whale (likely Hugging Face or Docker), a pink audio waveform, a yellow ghost/blob emoji character, and a white diamond/drop shape logo.Dark background collage of eight AI/tech tool logos arranged in circular bubbles: a blue geometric star (likely Gemini or similar), Meta's infinity logo, a "K" with blue dot (Klaviyo), a 3D purple geometric shape (likely a framework logo), a blue whale (likely Hugging Face or Docker), a pink audio waveform, a yellow ghost/blob emoji character, and a white diamond/drop shape logo.

1000+ built-in local models

Run open-weight LLMs from Hugging Face — Llama, Qwen, Gemma, Mistral, Phi and more.

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# OpenAI-compatible, on your machine
base_url = "http://localhost:1337/v1"
model = "qwen3-8b"

# drop-in for any agent, CLI or IDE
client.chat.completions.create(…)

Local API endpoint

OpenAI-compatible server at localhost:1337 — a drop-in replacement for any tool.

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UI card comparing VRAM usage: Standard method uses 47.8 GB (red progress bar, nearly full) vs TurboQuant uses 7.9 GB (green progress bar, mostly empty), with the caption "6x less memory — no quality loss".UI card comparing VRAM usage: Standard method uses 47.8 GB (red progress bar, nearly full) vs TurboQuant uses 7.9 GB (green progress bar, mostly empty), with the caption "6x less memory — no quality loss".

TurboQuant

Up to 6× faster on supported models.

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Agents & tools

One-click agents for your local models.

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Split-screen showing a chat interface on the left with user prompt "make me a dark button with hover effect" and AI response "All done! Here's a minimal dark button with a smooth hover transition", and the generated HTML/CSS code on the right — a button with dark background (#1f1f1f), white text, 10px border-radius, and a hover state transitioning to #2e2e2e.

Artifacts

Live preview for HTML, CSS & JS — right inside the chat.

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Cloud providers

OpenAI, An747thropic, Mistral, Groq and more — bring your own key, switch per chat.

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Two smartphones showing a local AI app (marked with a snowflake/asterisk icon): the iPhone on the left displays a "Choose a Model" screen listing downloadable models (Qwen3.5, LFM2.5, Gemma 4) with sizes ranging from 255 MB to 4.41 GB; the Android on the right shows the chat interface with "What can I help with?" and quick-action prompts, running Gemma 3 (1B).

Mobile

Run AI on iOS & Android.

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Dark-themed chat interface screenshot showing a user message "hey, here's my brief in pdf. turn it into a post" with an open attachment menu below offering two options: "Add images" and "Add documents or files".

Chat with PDF

Drop in a contract, report or research paper — the model reads it on your device. Nothing uploaded, nothing logged.

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5
platforms — Mac, Win, Linux, iOS, Android

Download to your device

Free, open-source, and fully native — running locally on your own hardware.

macOS
13+ · Apple Silicon
Windows
x64
Linux
x86_64
iOS
App Store
Android
Google Play

Desktop builds v1.1.99 · Free & open-source under Apache-2.0

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Available on macOS 13+ (Apple Silicon)
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