ruvnet/RuView
Trending open-source project that turns WiFi channel data into presence, breathing, and pose detection on $10–140 ESP32 hardware. Off the agent-builder path, but notably honest about its accuracy limits.
**The gist** RuView reads WiFi **Channel State Information** from ESP32 sensors and infers presence through walls, breathing and heart rate, and **17-keypoint pose** — no cameras involved. Hardware runs **$10 to ~$140** depending on configuration; the stack is mostly **Rust**, MIT-licensed, running entirely on edge devices with Home Assistant and Matter integrations.
**Why it matters** Little here applies directly to coding-agent work, but the epistemics are worth copying: the README **retracted** an earlier 100%-presence figure measured on a single-class recording and now reports **82.3%** held-out accuracy, with per-feature limitations listed. If you publish evals or benchmarks, that's the standard to match.
**The gist** RuView reads WiFi **Channel State Information** from ESP32 sensors and infers presence through walls, breathing and heart rate, and **17-keypoint pose** — no cameras involved. Hardware runs **$10 to ~$140** depending on configuration; the stack is mostly **Rust**, MIT-licensed, running entirely on edge devices with Home Assistant and Matter integrations. **Why it matters** Little here applies directly to coding-agent work, but the epistemics are worth copying: the README **retracted** an earlier 100%-presence figure measured on a single-class recording and now reports **82.3%** held-out accuracy, with per-feature limitations listed. If you publish evals or benchmarks, that's the standard to match. **Watch out** Everything interesting requires **CSI-capable hardware** — plain consumer WiFi yields only coarse signal-strength presence. It's labeled **beta**, camera-free pose accuracy is admitted to be limited, and sensing people through walls raises consent questions an MIT license doesn't answer.