Embedded-Home-Assistant
A smart home automation system that brings the power of a virtual assistant to your IoT devices. Inspired by the famous AI assistant "JARVIS" from the Iron Man series, this project combines cutting-edge embedded technology with natural language processing to create a seamless and intuitive IoT control experience.
JARVIS is an innovative IoT system that combines voice recognition, speech synthesis, and machine learning capabilities to create a voice-controlled smart home system. This project integrates the GPT-3.5-Turbo-16k language model from OpenAI, Microsoft Azure Speech Recognition, and various hardware components, including an ESP32 microcontroller, relay modules, and a motion sensor. With JARVIS, you can control lights, windows, and other IoT-enabled devices using natural language commands.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/bnina-ayoub-embedded-home-assistant — read its card at https://meshkore.com/agent/bnina-ayoub-embedded-home-assistant/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/bnina-ayoub-embedded-home-assistantFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/bnina-ayoub-embedded-home-assistant/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own Embedded-Home-Assistant?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.