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Off Grid

by Community

The Swiss Army Knife of Offline AI. Chat, Speak, and Generate Images - Privacy First, Zero Internet. Download an LLM and use it on your mobile device. No data ever leaves your phon

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Off Grid

Added 1 June 2026

#edge-ai #gguf #llama-cpp #local-ai #mobile-ai #offline-ai #offline-llm #ondevice

Overview

Off Grid is a mobile app that runs large language models locally on your device. It supports text chat, speech input, image generation, and vision tasks without any internet connection. All processing happens on the phone, so no data ever leaves the device.

Best for

Best for
Privacy-conscious users who need AI capabilities on mobile without internet access

Use cases

  • Chat with an LLM while offline on a plane or remote area
  • Generate images from text prompts without sending data to a cloud service
  • Use voice input to interact with a local model for hands-free queries

Notes

Off Grid is a mobile app that runs large language models locally on your device. It supports text chat, speech input, image generation, and vision tasks without any internet connection. All processing happens on the phone, so no data ever leaves the device.

2,335 stars on GitHub. Last updated 2026-05-29. Licensed MIT.

Use cases

  • Chat with an LLM while offline on a plane or remote area
  • Generate images from text prompts without sending data to a cloud service
  • Use voice input to interact with a local model for hands-free queries

Pros

  • Complete privacy as all data stays on the device
  • Works entirely offline with no internet required
  • Supports multiple modalities including text, speech, and image generation

Cons

  • Limited to the capabilities of the downloaded model which may be smaller than cloud alternatives
  • Requires sufficient local storage and processing power on the mobile device
  • Model selection and updates depend on community contributions and manual downloads

Indexed from awesome-llmops and enriched against its public facts.

Pros

  • Complete privacy as all data stays on the device
  • Works entirely offline with no internet required
  • Supports multiple modalities including text, speech, and image generation

Cons

  • Limited to the capabilities of the downloaded model which may be smaller than cloud alternatives
  • Requires sufficient local storage and processing power on the mobile device
  • Model selection and updates depend on community contributions and manual downloads