GraphCanon updated 3w · GitHub synced 3w · 27 views this month
Decision brief
off-grid-ai-mobile is an offline AI toolkit for mobile devices enabling text-to-text, vision tasks, and image generation without internet connectivity.
Good fit when
- When you need to perform AI tasks with high privacy requirements because no data is transferred from your device.
- If you require robust offline functionality for tasks such as chatting, speech recognition, or generating images in environments without reliable internet access.
Avoid when
- In scenarios where continuous model updates and improvements are necessary since off-grid-ai-mobile relies on locally downloaded models that may become outdated.
- When complex real-time interactions with a large knowledge base are required; the tool's capabilities might be limited by the local storage capacity of mobile devices.
Observed Jul 12, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of 3w
- Provenance
- Not a fork · Organization account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install off-grid-ai-mobileSimilar 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 mobile devices that supports text-to-text, vision tasks, and text-to-image generation without internet connectivity.
Capability facts
- CLI
- CLI entrypoint
Source: package.json:bin|scripts · Aug 2, 2026
- MCP server
- Ships MCP server
Source: package.json:@modelcontextprotocol/* · Aug 2, 2026
- Languages
- typescript, javascript
Source: github.language+package.json · Aug 2, 2026
Categories
Tags
README
Install
 |  |
Or grab the latest APK from GitHub Releases.
macOS: The iOS App Store version runs natively on Apple Silicon Macs via Mac Catalyst / iPad compatibility.
For agents
This page has a .md twin and JSON over the API.