Your Private Offline Companion

Code with AI.
Chat with AI.
100% Offline.

Quietly is a private AI pair-programmer & buddy that runs entirely on your machine. No cloud. No telemetry. No compromise.

πŸ”’Zero telemetry
πŸ’»100% offline
🧠Local AI models
πŸ–₯️Windows Β· macOS Β· Linux
Live Demo

See it in action.

Watch Quietly help you write, explain, and refactor code β€” entirely on your machine.

Quietly β€” Demo
def generate_code(prompt: str) β†’ str:
Β Β Β Β # Local LLM inference
Β Β Β Β model = LocalLLM()
Β Β Β Β 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 Bleeding-Edge Open Source

Quietly stands on the shoulders of giants to bring you massive AI models directly on your local consumer hardware.

Llama.cpp

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

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 utilizes 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 Features

Everything you
need.

A complete, local AI development environment engineered for privacy-conscious developers.

Offline AI

Run powerful AI models directly on your machine. Once the setup is complete, you're free to disconnectβ€”no internet required, ever.

Local Models

Supports Llama.cpp and AirLLM for flexible local inference. Use any GGUF model you choose.

Built-in Terminal

Run commands, scripts, and programs without ever leaving the IDE. Full shell access included.

AI Pair Programming

Explain code, refactor logic, and generate solutions through natural conversation.

AI Code Explanations

Instantly understand any piece of code with detailed AI-generated explanations in plain English.

Privacy First

Zero telemetry. Zero cloud processing. Your code, prompts, and data stay on your machine forever.

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'
3Β 
4// Initialize Express app
5const app : Express = express()
6const PORT = 3000
7Β 
8app.get('/', (req, res) => {
9res.send('Hello World')
10})
AI: Add error handling?
TypeScriptLF
Llama-3.1-8B Β· 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 β€” not as a feature, but as a foundation.

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.
Open source verifiable Β· No accounts required Β· Offline after setup
Works 100% offline after setup β€” ideal for companies with sensitive codebases
Get Started

Up and running in minutes.

Install the app, auto-download the Llama server files, then choose Llama.cpp or AirLLM and download a model. After that, Quietly runs fully offline β€” no accounts or API keys.

1
01

Install Quietly

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

Quietly-Setup.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

Pick a backend & download a model

Choose Llama.cpp or AirLLM, 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.cpp | AirLLMModel
then
4
04

Quietly is ready

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

Offline Β· no API keysReady

Windows Β· macOS Β· Linux Β· No signup required

System Requirements

What you'll need.

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

Component
Requirement
Operating System
Windows 10 (64-bit) / macOS 12+ / Linux
RAM
8 GB
Disk Space
~150 MB (app) + models
CPU
x64 processor / Apple Silicon

Supported Models

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

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

+ And many more
No account needed

Start Coding / Chating 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 Β· macOS Β· Linux

A Project By

IntelliBud Innovations

IntelliBud Innovations

Building Tommorow's Software Solutions.

Visit intellibud.org