π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me built for low-power edge applications resources from RuView"
Installation instructions →What's inside
🚧 Beta software
See through walls with WiFi
- ESP32-C6 research nodeADR-110witnessreviewer guidefirmware v0.7.0Built for low-power edge applications
ESP32-C6-DevKit ($6–10)
📞 Support
- GitHub Issues
DiscussionsPyPI
📖 Documentation
- rvCSI — edge RF sensing runtime
Rust-first / TypeScript-accessible / hardware-abstracted CSI runtime: multi-source ingestion (incl. real nexmon_csi from a Raspberry Pi 5 / Pi 4 / Pi 3B+ — CYW43455 / BCM43455c0) → validation → DSP → typed events → RuVector RF memory ( ADR-095 , ADR-096 , domain model ). Now its own repo — — vendored here under ; 9 crates on crates.io, on npm, plus a Claude Code plugin.
Showing a sample of 4 resources. View the full list on GitHub →