Offline AI IDE · Chat · Image · TrainCode with AI.
Chat with AI.
Offline.

Quietly is an Offline AI IDE, AI Chat, Image Generation, and Model Training for Windows, macOS, and Linux.

Windows · macOS · Linux3 DevicesLifetime Updates7-Day Money-BackSecure Checkout

A look inside Quietly.

Privately, entirely on your machine.

Quietly — Demo
def generate_code(prompt: str) → str:
    # Local LLM inference
    model = LocalLLM()
    return model.generate(prompt)
/* AI Suggestion */
def optimize_function(fn):

See Quietly in action. Offline after setup. Fully private.

Comparison

Quietly vs cloud AI

Own the stack once. Inference stays on your hardware—not a rented API.

Quietly

Local · Lifetime

Cloud AI

Hosted · Sub

Code processed locally

Works without cloud inference

Monthly subscription

Use local models

Limited

Your code leaves your machine

Never
Often

License

$49 lifetime
Recurring

One purchase. Your machine. No recurring cloud seat fees.

Product Features

Everything you
need.

Explore our offline AI IDE, offline AI chat, local image generation, local AI training, or download Quietly for your platform.

Offline AI

Privacy First

Local AI Chat

AI Pair Programming

Local Image Generation

Local Model Training (SOUP)

Built for developers & everyone else.

Quietly lets you chat with AI and code with AI — two equal experiences, fully private on your machine.

AI Chat

Ask questions, learn, brainstorm, summarize, and work with AI privately — no coding required. Everyday AI, entirely on your machine.

Quietly
Chat
IDE
Image
Train
Settings
Quietly Chat
You

You

Tell me about quantum Computing

Quietly AI

What is quantum computing?
Quantum computing uses superposition and entanglement to process information.

Message Quietly AI...

@ SmolLM2-135M-Instruct-...

Quietly AI can make mistakes. Consider verifying responses.

AI Connected
CPU
v2.5.3

AI IDE

AI-assisted coding in a full local IDE — explain code, refactor, debug, and work across projects without sending anything to the cloud.

Quietly
Chat
IDE
Image
Train
Settings
Explorer
Search
Outline
QUIETLY
.github
assets
src
STORE_RELEASE.md
CONTRIBUTING.md
CPP.md
DESKTOP.md
DEV_SETUP.md
DEPLOYMENT.md
ChatPanel.tsx
package.json
DEPLOYMENT.md
1# GitHub repo
2 
3Repo named and published for you after purchase. SSH only, no public HTTPS git clone (private repo).
4 
5## What you get
6 
7- Private GitHub repo under intellibud-innovations org
8- SSH deploy key access only
9- No public clone URL
10 
11## After purchase
12 
131. We create quietly-{your-name} (or similar) in the org.
142. You receive SSH instructions and deploy keys.
Main

Quietly AI

Ask about your code, or select code for quick actions.

Ask about your code...

SmolLM2-135M...
AI Connected
CPU
v2.5.3
Image tab

Local image generation

Describe a picture and Quietly draws it on your machine. Nothing leaves your computer.

Learn more about local image generation

Quietly
Chat
IDE
Image
Train
Settings

Image

Describe a picture and Quietly draws it on your machine. Nothing leaves your computer.

Your canvas is empty

Describe a picture below and it will appear here.

A quiet harbor at dusk, warm light on the waterMisty pine forest at sunrise, soft light

A quiet harbor at dusk, warm light on the water…

SquarePortraitLandscapeCustom
Create
Advancedoptional
Image models

FLUX.1 schnell when VRAM allows · SDXL GGUF on smaller GPUs. Apache 2.0 / OpenRAIL++ only — FLUX.1-dev is not offered.

AI Connected
CPU
v2.5.3
Train tab · SOUP

Train on your hardware

Teach a model in your own words, on your own machine. Nothing leaves your computer.

Learn more about local AI training

Quietly
Chat
IDE
Image
Train
Settings

Train

Teach a model in your own words, on your own machine. Nothing leaves your computer.

ComposeRunsEval
Guide
Soup readyDoctor OKIntel GPULocal onlyIdle

Nothing trained yet

Pick a base model and a dataset below, then press Train.

JSONL: instruction+output, messages[], or conversations[]

Method

A · SFT (instruction)

Base model

Local HF folder
Folder

Dataset

sft.jsonl
File
Train
Tuningoptional
Export & runs
Environment
Log
AI Connected
CPU
v2.5.3
Encrypted
Offline
Private
Local
Privacy

Your Code.
Your Machine.

In a world where every tool wants to send your data to the cloud, Quietly is different. We built privacy in from the ground up — not as a feature, but as a foundation.

Quietly is an offline AI IDE built for local AI coding download the app when you are ready.

Offline Operation

Once setup is complete, Main features like chat, code generation works without an internet connection. Disconnect and code freely.

Zero Telemetry

We collect absolutely no usage data, analytics, or behavioral metrics. None.

No Cloud Processing

AI inference runs on your hardware. Your prompts never touch a remote server.

Local Data Storage

Project files, settings, and chat history are stored only on your machine.

Privacy Guaranteed: Your code never leaves your machine.
Local-first · No accounts required · Offline after setup
Works offline after setup — ideal for companies with sensitive codebases
Under the hood

Powered by proven local inference engines

Quietly integrates four local runtimes—fast GGUF, big-HF models, frontier-scale chat, and FreeToken MoE serving—so you keep every token on your machine.

Core engine

Llama.cpp

The gold standard for local LLM inference. Written in pure C/C++ for maximum performance, helping Quietly achieve strong tokens-per-second even without a dedicated GPU.

Extremely optimized inference engine
Seamless CPU/GPU hybrid execution
Broad hardware support (Apple Silicon, CUDA, CPU)
Core engine

AirLLM

Run massive 70B+ parameter models on a single consumer GPU. Quietly uses AirLLM's innovative layer-wise execution to bypass VRAM limitations completely.

Layer-wise memory loading algorithms
Run 70B models on just 4GB or 8GB of VRAM
Zero compromise on model quality or precision
Core engine

FreeToken

Edge-native MoE serving from FlashML—bandwidth-adaptive CPU–GPU co-execution so Quietly can run 290B+ open-weight models on the hardware you already own.

Bandwidth-adaptive expert execution
Elastic VRAM between experts and KV cache
FTW format for fast frontier MoE loading
Colibri

Frontier

Flagship chat via Colibri—stream routed experts from disk so frontier-scale MoE models (like GLM-5.2) can run on consumer RAM instead of a datacenter cluster.

Frontier-scale MoE chat on a desktop
Expert streaming keeps dense weights in RAM
OpenAI-compatible local API over loopback

Quietly Lifetime

$49

One-time purchase.

Your one-time purchase includes all future app updates for as long as Quietly continues to develop and distribute the software. No subscription — the app remains yours on your licensed devices.

Offline AI Chat
Offline AI IDE
Local image generation
Local model training (SOUP)
All local engines
Lifetime updates
3 devices
Windows, macOS & Linux

7-Day Money-Back Guarantee · Secure checkout · Instant delivery

Secure checkout by Lemon Squeezy7-day money-back guaranteeInstant license deliveryLifetime updates includedLicensed on 3 devicesWindows • macOS • LinuxNo subscriptionDirect support available