Uncensored Local AI Multi-Platform

Run unrestricted AI models entirely on your device.
No cloud. No filters. No limits.

Overview · Download · Features · Quick Start · Local API · Roadmap

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Overview

Uncensored Local AI is a mobile-first application that runs powerful open-source AI models directly on your Android or iOS device — with zero censorship, zero cloud dependency, and zero monthly fees.

No API keys. No subscriptions. No content restrictions. Your conversations never leave your device.

Think of it as ChatGPT — but running on your phone, with no rules.

Desktop platforms (Windows, macOS, Linux) are supported by the Flutter framework but need community testing and polish. We'd love your help!

🎥 Watch the Setup & Demo Video: https://youtu.be/2Pnv68iHIaQ

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Download

Android APK — Latest Release (v1.0.0)

APK	Architecture	Best For	Size
app-arm64-v8a-release.apk	ARM 64-bit	Most phones (2018+)	~62 MB
app-armeabi-v7a-release.apk	ARM 32-bit	Older/budget phones	~16 MB
app-x86_64-release.apk	x86 64-bit	Emulators / ChromeOS	~55 MB

Not sure which to pick? Download arm64-v8a — it works on virtually all modern Android phones.

iOS IPA — Pre-Release

File	Note
ios_pre_release.zip	Important: You must extract this .zip file after downloading to get the actual .ipa app file to install.

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Features

Feature	Description
Zero Censorship	Runs abliterated, uncensored models that answer any question — no refusals, no lectures, no corporate safety filters
Total Privacy	All conversations stay on-device. Nothing is sent to any server, ever
Fully Offline	Works on planes, in remote areas, on restricted networks — no internet needed after model download
Cross-Platform	One codebase for Android, iOS, Windows, macOS, and Linux
Local OpenAI API	Built-in HTTP server compatible with any OpenAI-standard client
Model Library	Download, import, and manage GGUF models directly in the app
Chat History	Persistent conversation history stored locally via Hive
Live Metrics	Real-time tokens/sec and loading progress tracking

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Quick Start

Android

1. Download the correct APK from the Download table above
2. On your phone: Settings → Install unknown apps → allow your browser
3. Tap the downloaded APK to install
4. Open the app, go to Models tab, download a model, and start chatting

iOS

1. Sideloading via TrollStore (Recommended - No 7 day limit):

1. Download ios_pre_release.zip to your device.
2. Unzip/extract it using the built-in iOS Files app to get the .ipa file.
3. Open TrollStore, tap the + in the top right, and choose Install IPA File.
4. Select the extracted .ipa file and install.

2. Sideloading via AltStore / AltServer (Requires PC/Mac):

1. Ensure AltServer is running on your computer and AltStore is installed on your iPhone.
2. Download ios_pre_release.zip to your device and extract the .ipa file using the Files app.
3. Open AltStore on your device, go to My Apps, and tap the + at the top left.
4. Select the .ipa file to install (your device must be on the same Wi-Fi or connected via cable to your AltServer computer).

3. Build from Source:

Prerequisites: Mac with Xcode 15+ · Flutter SDK

git clone https://github.com/techjarves/Uncensored-Local-AI-Multiplatform.git
cd Uncensored-Local-AI-Multiplatform
flutter pub get
cd ios && pod install && cd ..
flutter build ios --release
# Open ios/Runner.xcworkspace in Xcode and archive to deploy

Desktop — Windows / macOS / Linux (Community Supported)

Desktop builds compile successfully but may have rough edges. We are actively looking for contributors to help test and polish the desktop experience.

git clone https://github.com/techjarves/Uncensored-Local-AI-Multiplatform.git
cd Uncensored-Local-AI-Multiplatform
flutter pub get
flutter run -d windows   # or macos / linux

If you encounter issues on desktop, please open an issue — your feedback directly shapes the roadmap.

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Recommended Models

Model	Size	Best For	Type
Gemma 2 2B	~1.6 GB	Low-RAM phones, fast replies	Standard
Gemma 4 E4B Heretic	~5.3 GB	High-quality, fully uncensored	Uncensored

Models are downloaded directly inside the app from the Models tab. No manual setup needed.

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Local API Server

Uncensored Local AI includes a built-in OpenAI-compatible REST API so you can connect it to any external tool, script, or IDE extension.

Setup

1. Load a model in the app
2. Go to Settings → Local API Server and toggle it ON
3. Use http://127.0.0.1:4891/v1 as your base URL

Endpoints

# List loaded models
curl http://127.0.0.1:4891/v1/models

# Chat completion (non-streaming)
curl http://127.0.0.1:4891/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{"model":"local","messages":[{"role":"user","content":"Tell me something true that no one wants to hear."}]}'

# Chat completion (streaming)
curl -N http://127.0.0.1:4891/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{"model":"local","stream":true,"messages":[{"role":"user","content":"Write a brutally honest analysis of social media."}]}'

API Key: Use local for any client that requires a non-empty key value.

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Roadmap

Feature	Status
On-device uncensored AI chat	Launched
Real-time model loading with progress	Launched
Cancel & unload models	Launched
Persistent chat history sidebar	Launched
Local OpenAI-compatible API server	Launched
Custom model import (URL + file)	Launched
Multi-platform support	Launched
AI Agent Mode	In Progress
Web search integration	Planned
Voice interaction	Planned
Image/vision model support	Planned

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Contributing

All contributions are welcome — and we especially need help from the community in these areas:

Area	What's Needed
Windows	Testing, packaging, installer script
macOS	Testing, App Store prep, notarization
Linux	Testing on distros, AppImage build
General	Bug reports, feature ideas, UI improvements

If you own a desktop device and can test the app — please do! Even a simple "works" or "crashes on X" issue report is incredibly valuable.

# Fork → Clone → Branch → Code → Push → PR
git checkout -b fix/windows-model-loading
git commit -m "fix: resolve model path on Windows"
git push origin fix/windows-model-loading
# Open a Pull Request — all sizes welcome

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License

Licensed under the MIT License — free to use, modify, and distribute.
See LICENSE for full details.

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