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✦ Free & open sourceWriting

OGAM

Run GGUF LLMs, vision, speech, and stable diffusion completely offline on mobile or Mac.

Run local AI entirely on your phone or Mac

Offline GGUF text, vision, voice, and image generation with GPU and NPU acceleration.

Free forever · open source · MIT
✓ Use today✓ Browser-based✓ Real-time collaboration
6.8
ZEKAI
Powerful offline mobile AI
Free & open source · Writing
Ease of setup2
Usefulness8
Maintenance9.5
Community7.5
★ 3,367
GITHUB
Nov 2026
UPDATED
MIT
LICENSE
🛠 Don't want to self-host? We can set it up →
⚡ Quick answer

OGAM is an offline AI suite that runs GGUF language models, Stable Diffusion, and Whisper speech-to-text natively on your mobile device or Mac. It suits professionals who need localized text generation, document analysis, and voice tools without exposing data to external servers.

Runs on
Cross-platform
Hosting
Desktop
Languages
TypeScript
License
MIT

What it is

The app handles on-device text generation using architectures like Llama and Qwen, processes PDFs via local vector embeddings, and executes Stable Diffusion image generation. It manages RAM allocation explicitly and supports local-network servers and tool calling.

Who it's for

It suits mobile-first professionals, translators, and writers who require strict offline operation and hardware acceleration. It does not suit those seeking cloud-hosted scalability or web-based multi-user management.

Key features

Hardware Acceleration

Utilizes phone GPUs and NPUs via OpenCL and Metal for faster token rates.

Local Knowledge Base

Embeds uploaded PDFs and text documents locally in SQLite using a bundled MiniLM model.

On-Device Voice and Vision

Integrates Whisper speech-to-text and multimodal models like SmolVLM directly on hardware.

Explicit RAM Management

Provides policy controls to monitor and override memory limits for resident models.

How to start

Up and running in 3 steps

1
Download the app from Google Play or the iOS App Store.
2
Download a compatible GGUF model within the app's download manager.
3
Configure hardware acceleration and memory policies in settings to begin chatting.
Real talk

Our honest verdict

What's great

  • Runs entirely offline with zero data leaving your device
  • Supports hardware acceleration across Snapdragon GPUs/NPUs and Apple Silicon
  • Includes local PDF chunking and vector retrieval via SQLite
  • Connects to local-network OpenAI-compatible servers like Ollama

Where it falls short

  • Requires powerful mobile hardware for acceptable token generation rates
  • Pro tier requires a paid lifetime license or monthly subscription for advanced features
  • Experimental NPU acceleration may cause model failures or fallback to CPU
Cost

Pricing & license

The core app is free under its open-source license. An optional Pro tier adds voice mode, custom personas, tool integrations, and sync for $119 lifetime or $7.99 monthly.

Paid work

Open remote AI-training roles

767 open remote AI-training roles, updated November 14, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.

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Questions

FAQ

Does any data leave my device during use?

No. All text generation, speech transcription, vision analysis, and image creation run locally on your hardware.

What hardware is required for optimal performance?

Flagship devices with Snapdragon 8 Gen 2/3 or Apple Silicon provide the best token rates and NPU image generation speeds.

Radar

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