Offline AI IDE · local LLM codingCode with AI.
Chat with AI.
100% Offline.

Quietly is an Offline AI IDE and chat companion for Windows, macOS, and Linux. Everything stays on your machine.

Featured on Product Hunt

Quietly — Offline AI IDE & Local Chat | Product Hunt
Live Demo

See it in action.

Watch Quietly help you write, explain, and refactor code — 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. Fully offline. Fully private.

Under the hood

Powered by proven local inference engines

Quietly integrates three local runtimes—fast GGUF, big-HF models, and frontier-scale chat—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. Third-party upstream (open source)

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. Third-party upstream (open source)

Layer-wise memory loading algorithms
Run 70B models on just 4GB or 8GB of VRAM
Zero compromise on model quality or precision
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. Third-party upstream (open source)

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

Everything you
need.

Quietly ships a complete local AI development environment—engineered for developers who want power without the cloud.

Explore our offline AI IDE, local AI coding pages, or download Quietly for your platform.

Offline AI

Privacy First

Three Local Engines

AI Pair Programming

Agent File & Terminal Actions

Project Brain

Model Hub

Air-Gap Mode

Security Feed

Built for developers & everyone else.

Every panel, every feature designed for a distraction-free, AI-enhanced coding experience.

Conversational AI assistant that understands your codebase and runs entirely offline after a one-time setup.

Quietly
FileTerminal
Quietly Chat
You

You

Tell me about quantum Computing

Quietly AI

What is quantum computing?
Quantum computing is a type of computation that uses quantum-mechanical phenomena — such as superposition and entanglement — to process information.

Message Quietly AI...

@ SmolLM2-135M-Instruct-...

Quietly AI can make mistakes. Consider verifying responses.

AI Connected
markdownUTF-8Quietly
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.

100% Offline Operation

Once setup is complete, every feature 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 100% offline after setup — ideal for companies with sensitive codebases
Get Started

Up and running in minutes.

Install the app, auto-download the Llama server files, then download a model. After that, Quietly runs fully offline — no accounts or API keys.

1
01

Install Quietly

Download and run the installer for your OS — Windows .exe, macOS .dmg, or Linux AppImage. One file, no extra prerequisites.

Quietly installer (.exe / .dmg / .AppImage)~180 MB
then
2
02

Auto-download Llama server

Inside the app, press Auto download to fetch the Llama server files Quietly needs. That pulls the runtime so you are not hunting for binaries by hand.

Auto downloadLlama server
then
3
03

Download a model

Select a model to download and let it finish. For coding, Llama 3.1 8B or Code Llama in GGUF form are solid defaults.

Llama 3.1 8BGGUF
then
4
04

Quietly is ready

After the model download completes, the app is fully working — local, private, and usable completely offline. Start a session whenever you like.

Offline · no API keysReady

Windows · macOS · Linux · No signup required

System Requirements

What you'll need.

The app itself is lightweight. Model sizes are additional and can add up.

Component
Requirement
Component
Memory (RAM)
Requirement
8 GB minimum
Why it matters
Additional RAM supports larger models and smoother inference
Component
Disk Space
Requirement
~400 MB (app) + models
Why it matters
Model storage adds up by model size
Component
Processor
Requirement
x64 / Apple Silicon
Why it matters
GPU when available; CPU fallback; VRAM-based recommendations

A Project By

IntelliBud Innovations

IntelliBud Innovations

From Imagination to Innovation.

Visit intellibud.org