In industrial settings, seconds matter. A delayed response to a temperature spike or an overlooked sensor reading can cost millions in damaged equipment, lost revenue, or worse. When you need intelligent, real-time responses to critical sensor data, bringing together efficient and scalable infrastructure and AI capabilities is essential.
Today, we're introducing the MQTT Agent Integration App, a starter kit demonstrating how to deploy Composabl's intelligent agents in industrial settings using MQTT's proven messaging protocol.
MQTT (Message Queuing Telemetry Transport) is an excellent protocol for industrial AI applications. Originally developed for oil pipeline monitoring, MQTT has become the go-to protocol for industrial IoT applications because it works reliably even in bandwidth-constrained environments. This is a critical consideration when deploying remote agents in the field with limited or sporadic internet connectivity.
This starter app demonstrates how to integrate MQTT's powerful features with intelligent agents. The architecture showcases MQTT's key strengths for industrial applications:
The app is a practical example of connecting intelligent agents with industrial sensor networks through MQTT. It demonstrates the core patterns you'll need, whether you're prototyping a new monitoring system or planning to expand an existing installation. While you'll want to add additional security, reliability, and monitoring features for production use, this integration pattern provides a solid foundation to build upon.
The MQTT Agent Integration App demonstrates the fundamental patterns for deploying intelligent agents in industrial settings. It includes four main components, containerized for easy exploration:
The Agent Service - an intelligent processor that subscribes to sensor data streams, analyzes them using AI models, and publishes control actions back to the system.
The MQTT Broker (Mosquitto) - serves as the central message router, ensuring reliable delivery of messages between all components.
Message Producer - simulates industrial sensor data for testing and development.
MQTT Explorer Interface - provides real-time visualization and debugging of the entire message flow.
Together, these services create a complete development environment: the Message Producer generates sample sensor data, which flows through the MQTT Broker to the Agent Service for AI-powered analysis. The Agent's responses are then published back through the broker, with the MQTT Explorer Interface allowing developers to monitor and debug the entire process in real-time.
We've designed the app to help you quickly understand MQTT-based agent deployment. With Docker Compose, you can have a working example running in minutes:
This gives you a complete development environment for exploring MQTT-agent integration patterns.
Whether exploring new industrial applications or enhancing existing systems, the MQTT Agent Integration App shows you how to bring intelligent agents into your operations. It demonstrates the powerful combination of MQTT's reliable messaging with Composabl's AI platform, giving you a blueprint for building sophisticated industrial control systems.
This starter app provides the building blocks and patterns you need to transform your industrial operations. Use it to prototype your solutions, understand the integration patterns, and explore the possibilities of intelligent industrial control. When you're ready to move to production, the principles and patterns demonstrated here will guide your development of a robust, industrial-grade system.