Step 1
IoT Devices Send Data
Sensors and devices transmit real-time data to EMQX via MQTT.
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Introducing EMQX 6.1: Durable MQTT Streams and Analytics-Ready Data | Register Now → EMQX for AI
Activate Your IoT Data with AI Agents
Bridge millions of devices with AI Agents and LLMs to drive real-time intelligent automation at scale.
AI Agent Active
Supported AI Providers
Beyond Traditional IoT
Unleash AI Agents on Your IoT Streams
IoT devices generate endless data streams, but traditional architectures struggle to act on them in real-time. Building AI agents that perceive, reason, and respond requires complex integration and often suffers from high latency.
Devices
Data
EMQX
Real-time Response
Decide
AI Agent
The Solution
The Platform for Building and Deploying Real-Time IoT AI Agents
EMQX bridges this gap. As a massively scalable MQTT+AI platform designed for IoT, EMQX now enables AI agents to operate directly within your data flow. These agents can monitor, analyze, decide, and act on your IoT data streams in real-time, all without complex middleware or separate processing clusters.
Deploy autonomous AI agents that continuously monitor IoT data streams and take action when needed
Enable agents to make intelligent decisions using state-of-the-art AI models and contextual awareness
Leverage powerful AI platforms including OpenAI, Anthropic, Grok, AWS Bedrock, and other providers
Create and deploy agents using a visual, low-code interface in EMQX Flow Designer
Capabilities
Why EMQX for AI Agents
EMQX provides the tools and infrastructure to create AI agents that operate directly within your IoT data streams.
AI Agent Analysis
MQTT Message
{"device_id": "sensor-042", "temperature": 87.5, "vibration": 0.82, "pressure": 145}Agent Decision
Click Analyze to process
Empower your AI Agents to leverage LLMs (like GPT, Claude, Grok, Gemini, Bedrock, Ollama) to automatically classify, summarize, extract insights, or trigger intelligent actions based on MQTT message payloads in real-time.
Learn MoreUse Cases
How EMQX Enables AI Agents Across Industries
Deploy intelligent agents across industries to automate operations, predict failures, and enable instant decision-making.
Monitoring
Smart Device Monitoring
AI Agents detect anomalies in real-time, autonomously generating alerts or maintenance commands for connected devices.
Operations
Automated Operations
Agents analyze telemetry data and trigger operational workflows—like adjusting settings or rerouting resources—without human intervention.
Maintenance
Predictive Maintenance
AI Agents process sensor data to predict equipment failures, scheduling repairs proactively to minimize downtime.
Edge
Intelligent Edge Control
Deploy agents at the edge to process data locally, reducing latency and enabling instant responses in critical systems.
How It Works
From IoT Data to Intelligent Actions
Three simple steps to deploy AI agents that process, analyze, and act on your IoT data streams in real-time.
Step 2
AI Agent Workflow Execution
The EMQX Flow Designer executes the pre-defined AI Agent logic, applying AI models (LLMs, etc.) to perceive, reason, analyze, or make decisions based on the incoming data.
Step 3
Automated Actions & Outcomes
Agent decisions and processed data trigger automated actions: storing insights, sending intelligent alerts, controlling other devices, invoking external APIs, or initiating further workflows—all instantly.
IoT Devices
Sensors
Vehicles
Industrial
Mobile
EMQX Platform
Flow Designer
PerceiveReasonAnalyzeDecide
Automated Actions
Smart Alerts
Device Control
Store Insights
External APIs
Supported AI Models
Power Your Agents with Leading AI Models
EMQX provides seamless integration with popular AI services and frameworks, giving you the flexibility to choose the best reasoning engines for your AI Agents.
OpenAI
Anthropic
Gemini
DeepSeek
Qwen
Ollama
Grok
Native Integration Ready
Related Products
Complete Your IoT Stack
Resources