Run local LLMs on your phone with Observer: offline agents for monitoring and logging

Observer is an open-source iOS app that lets you run local LLMs on your phone in a completely offline configuration. It uses a simple n-second agent loop: it captures an image via camera (using multimodal models), processes it with a local LLM, and then executes actions based on the model's response. The agent can start and stop itself, matching Anthropic's definition of an agent (not just a workflow).

Key features

• 100% offline — no sign-in required, no network calls for inference.
• Multimodal model support: the agent sees images and responds with text.
• Discord notifications work offline (other channels like WhatsApp, Email, SMS, Voice Calling, and Telegram are unavailable in offline mode due to no auth).
• Logs events and can write descriptions to the agent's memory.
• Customizable loop interval (e.g., every n seconds).

Limitations

Because the offline mode has no authentication, push notifications via WhatsApp, Email, SMS, Voice Calling, and Telegram will not work. However, Discord notifications function perfectly.

Availability

• iOS: Available now on the App Store.
• Android: Expected release in ~3 days (after the two-week testing period).

How it works (from the tutorial)

The tutorial (linked below) walks through setting up Observer in offline mode. The core loop is:
capture image → multimodal LLM inference → action (log / notify via Discord) → repeat every n seconds
The author demonstrates using the app to monitor anything (e.g., recording when something happens, writing descriptions to memory).

Get started

GitHub: github.com/Roy3838/Observer
App Store: Observer AI on the App Store

Who it's for: Developers who want to run private, offline AI agents on their phone for monitoring, logging, or alerting — without cloud dependencies.