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OGAM

off-grid-ai/OGAM

Swiss Army Knife of Offline AI

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

126views this month

3.1k stars298 forksLast push Sep 18, 2026 TypeScript MIT

Decision brief

OGAM is a versatile offline AI toolkit that supports a wide range of functionalities including chat, vision, speech-to-text, and image generation, all of which can be performed on mobile and Mac devices without the need

Good fit when

  • When you need a comprehensive offline AI toolkit that supports chat, vision, speech-to-text, and image generation on mobile and Mac devices.
  • If you require a solution that runs entirely on-device, ensuring no data leaves your device and maintaining privacy.

Avoid when

  • If you need real-time cloud-based AI services that require internet access for data processing and model updates.
  • When you are working in an environment where the use of local AI models is restricted or not supported by the hardware available.
Pricing:
freemium - The core functionality is free, but premium features or services may be available for purchase.
Requirements:
Min 4 GB RAM; Supports CPU, GPU, and NPU for running AI models.; Available for Android, iOS, and macOS devices.

Observed Sep 18, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Very active (0d since push)
As of Sep 18, 2026
Provenance
Not a fork · Organization account
As of Sep 18, 2026
Security (OSV)
No MCP manifest
As of Sep 18, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

npm install OGAM
npm

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A comprehensive offline AI toolkit for chat, vision, speech-to-text, and image generation on mobile and Mac devices, featuring GGUF LLMs, Whisper, and Stable Diffusion.

Capability facts

CLI
CLI entrypoint

Source: package.json:bin|scripts · Sep 18, 2026

MCP server
Ships MCP server

Source: package.json:@modelcontextprotocol/* · Sep 18, 2026

Languages
typescript, javascript

Source: github.language+package.json · Sep 18, 2026

Categories

Tags

README

Install <div align="center" <table <tr <td align="center" <a href="https://apps.apple.com/us/app/off grid local ai/id6759299882" <img src="https://developer.apple.com/assets/elements/badges/download on the app store.svg" alt="Download on the App Store" width="180" / </a </td <td...

For agents

This page has a .md twin and JSON over the API.

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