EMQX 6.1.0 brings MQTT Streams for replayable messaging, enhanced multi-tenancy, and expanded data integration for enterprise-scale IoT.
This guide walks you through best practices for creating an end-to-end pipeline — from IoT data ingestion in EMQX to structured storage in an Iceberg-based S3 Table, ready for analytics via Athena.
Learn how to stream IoT data directly from EMQX 6.0 to Snowflake in real time using the new Snowflake Streaming connector — build a high-throughput, low-latency data pipeline for instant IoT analytics.
AWS, or Amazon Web Services, is the world’s leading cloud platform. MQTT, is a lightweight messaging protocol designed for constrained devices.
Learn how to give your AI companion visual perception using ESP32, MCP over MQTT, and multimodal LLMs for natural, human-like interactions.
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.
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.
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.
In this article, we'll extend the MQTT foundation from the previous post into an MCP over MQTT architecture.
This series provides a step-by-step guide on building an AI-powered emotional companion using ESP32 and MCP over MQTT. Learn to connect your device online and set the foundation for advanced voice and visual interactions.
As our chatbot requirements grew, we transitioned from a managed chatbot solution to an in-house system. This blog highlights the challenges that led to each migration, the benefits gained, and lessons learned.
By combining MQTT messaging technology with decentralized consent management, we deliver secure, scalable, and cost-effective data sharing under user control.