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: no cloud, no telemetry, no compromise.

🔒Zero telemetry
💻100% offline
🧠Local AI models
🖥️Windows · macOS · Linux

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.

0
Cloud calls made
Privacy guarantee
Under the hood

Powered by proven local inference engines

Quietly integrates mature third-party local inference components so you can run large models on consumer hardware without routing your project through a remote IDE backend.

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)

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
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

Run capable models entirely on your machine. After setup, code and chat work without a cloud API—disconnect whenever you want.

Local Models

llama.cpp for fast GGUF inference or AirLLM for larger Hugging Face models and vision. Import your own weights or download from the built-in catalog.

Privacy First

No analytics, crash reporters, or usage tracking. Inference stays on loopback; known telemetry hosts are blocked. Your code and prompts remain on disk.

AI Pair Programming

Streamed chat with project-aware context—explain selections, refactor logic, and generate solutions in plain conversation. Switch to Chat mode when you are not in a repo.

Project Brain

Local RAG indexes your repo under .quietly/, respects .gitignore and .quietignore, and pulls surgical context around your cursor—with LSP hints when available.

Model Hub

First-run setup wizard, Hugging Face downloads, and import for GGUF or HF folders. Resumable queue plus tunable context, temperature, and threads.

Agent File & Terminal Actions

The assistant can propose file creates, edits, patches, deletes, and shell commands. You approve each action—nothing is applied silently.

Air-Gap Mode

Block outbound network except localhost—downloads, updates, and sign-in pause until you turn it off. Built for truly disconnected work.

Security Feed

A local log of UI-to-main-process IPC so you can verify AI context reads come from disk in your project—not from the internet.

Quietly interface

Built for developers & everyone else.

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

Monaco-powered editor with syntax highlighting, multi-tab support, and AI inline suggestions.

Code Editor
index.ts
app.ts
types.ts
1import { Express } from 'express'
2import { createServer } from 'http'
3 
4// Initialize Express app
5const app : Express = express()
6const PORT = 3000
7 
8app.get('/', (req, res) => {
9res.send('Hello World')
10})
AI: Add error handling?
TypeScriptLF
Llama-3.1-8B · Local
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
Memory (RAM)
8 GB minimum
Disk Space
~150 MB (app) + models
Processor
x64 / Apple Silicon

Supported Models

Model
Size
Quality
Llama 3.1 8B (Q4)Recommended
4.7 GB
Fast
Qwen 2.5 Coder 7B (Q5)Recommended
5.0 GB
Fast
Mistral Nemo 12B (Q4)
7.1 GB
Good
Gemma 2 9B (Q4)
5.4 GB
Good
Phi-3.5 Mini 3.8B (Q4)
2.4 GB
Fastest

App install is ~150 MB. Models are stored separately and add up by size.

+ And many more
No account needed

Start coding & chatting with Local AI

Join the community that prioritizes privacy over convenience. Once the setup is complete, Quietly runs entirely on your machine with no internet connection required.

100% Offline
No Telemetry
Local AI Models

Available for Windows · macOS · Linux

A Project By

IntelliBud Innovations

IntelliBud Innovations

Building Tomorrow's Software Solutions.

Visit intellibud.org