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Overview

Device Agent is an MQTT-powered AI Assistant that turns any IoT device into an AI agent in minutes. Describe a device or upload a hardware definition to generate its specification, SDK, simulator, and IM/A2A integration.

What You Can Build

  • Define a Device Agent: describe telemetry, commands, and events, then turn a device category into a conversational, connectable, and collaborative capability model.
  • Generate a device SDK: produce runnable device-side code and reduce handwritten protocol parsing and connection boilerplate.
  • Debug with a simulator: validate device interaction, command responses, and conversation behavior before the hardware prototype is ready.
  • Connect voice, vision, and IM channels: let users interact with devices through natural language, image context, or chat tools.
  • Build an A2A hardware network: let device agents discover each other, coordinate tasks, and collaborate across devices without hardcoded automation rules.

Who It Is For

Smart device manufacturers can use Device Agent to validate an AI upgrade path without building a full AI, voice, and multimodal stack from scratch.

AI hardware teams can structure product capabilities in an Agent-native way from day one, giving devices conversational, callable, and collaborative interfaces.

System integrators can reduce one-off private API integrations and hardcoded automation rules, then deliver cross-brand device collaboration through standard protocols.

Developers can start from device models, MQTT access, SDK access, simulator flows, and A2A examples to understand the complete engineering path.

Basic Workflow

  1. Describe the device: enter a natural language description or upload a JSON, Markdown, or YAML device definition.
  2. Confirm the capability model: review telemetry fields, commands, events, and version information.
  3. Create the agent: generate the Device Agent and enable A2A publishing when needed.
  4. Connect the device: use MQTT, the simulator, or a generated SDK to connect real hardware.
  5. Expand interaction channels: add voice, vision, IM, or external agent network integration based on the scenario.