AI

Use your phone to monitor anything with local models! Demo of my Open Source and 100% local agent (iOS and Android!)

Read full article at source ↗

Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 07/11/2026, 23:47:25 UTC.

Briefings

Roy3838 demonstrated a local iOS and Android agent using Open Source models to monitor various phone-based scenarios, including detecting strangers near a car, bird nests, and household appliances. The demo utilized OneJev-0.8b for decision-making and qwen-0.8b for observation, running entirely on-device without cloud dependencies. The project is available as free, open-source software on GitHub and app stores.

Key points

• The agent uses OneJev-0.8b for decision-making and qwen-0.8b for observation, both running locally on iOS and Android devices.
• Monitored scenarios include detecting strangers near a car, bird nests, and household appliances like washing machines and gym equipment.

Context

Roy3838 created a quick demo to show how Observer can run local models to monitor anything with a phone. The project is free and open-source, allowing users to see what they can monitor with their own devices.

Limitations

The evidence is a single GitHub post and app store links with no additional context, background, or research data. The demo relies on user-provided examples rather than systematic testing. Camera quality is acknowledged as poor, and specific model performance metrics are not provided.

Generated by Bittrees-hosted qwen35-2b sha256:aaf42c8b7c3c on 07/11/2026, 23:59:28 UTC. Based on publisher-provided feed evidence; may not cover the full original article. Check the source for details.

View archived briefing on IPFS
bafybeigvizboln2abc2okl2ysvxp4fwtgit5sy7suivi3wmcp6i3bt5zvi