EMQX 6.1.0 Released: Replayable MQTT Streams, Advanced Multi-Tenancy, and Expanded Integrations
EMQX 6.1.0 brings MQTT Streams for replayable messaging, enhanced multi-tenancy, and expanded data integration for enterprise-scale IoT.

EMQX 6.1.0 brings MQTT Streams for replayable messaging, enhanced multi-tenancy, and expanded data integration for enterprise-scale IoT.


Learn how to give your AI companion visual perception using ESP32, MCP over MQTT, and multimodal LLMs for natural, human-like interactions.

Learn how EMQX solves IoT interoperability challenges by unifying devices, protocols, and data into a seamless connected ecosystem.

This blog explores traffic mirroring's role in ensuring data compliance, security audits, and troubleshooting, enhanced by EMQX Cluster Linking for efficient MQTT traffic replication.

Learn how to give your ESP32 AI companion memory, emotion, and persona over MQTT, transforming it from a simple controller into a personalized life assistant.

Learn how EMQX implemented full MQTT over QUIC on the ESP32C3 microcontroller, enabling secure, efficient IoT communication with coreMQTT, ngtcp2, and wolfSSL on resource-constrained devices.

Discover how EMQX's Unified Namespace (UNS) and OEE solution empowers food and beverage manufacturers to boost efficiency, ensure quality, and drive digital transformation.

This is Part 4 of our Building AI Companion with ESP32 & MCP over MQTT series, introducing how to implement ASR and TTS for voice interaction on IoT devices.

Learn how to seamlessly migrate from open-source EMQX to EMQX Dedicated with Cluster Linking, ensuring zero downtime, business continuity, and scalable cloud deployment.

This article will provide a step-by-step guide to walk you through the entire configuration process, from PLC setup to successfully viewing data in an MQTT client.

We are excited to announce the expansion of the EMQX Platform into three new regions: AWS UAE (Middle East), AWS Central (Mexico), and Azure Canada Central.

In this article, we will build on that foundation by having a large language model (LLM) take over the control logic, creating a natural language command-and-response loop.

This blog details how to leverage the industrial edge platform **NeuronEX**, utilizing its built-in **incremental query** and **stream processing** capabilities, to achieve efficient and reliable data synchronization from MySQL to MQTT.