Blog

FlowFuse 2.29 brings FlowFuse Expert to self-hosted enterprise customers, adds Azure DevOps as a supported Git provider, and makes snapshot comparisons clearer with property-level diffs.

How AI-driven edge connectivity is redefining industrial operations, bridging IT and OT, and turning AI pilots into scalable, real-world impact.

Most manufacturers are still debating AI adoption. These five use cases are already running in production, cutting downtime, scrap, energy costs, and injury rates.

Your AI pilot passed every test and stalled before production. Here is why that keeps happening, and what it actually takes to stop it.

Learn how manufacturers are turning Edge AI pilots into production reality, and why the plumbing matters more than the model.

Learn how to monitor industrial motors continuously, train a custom autoencoder on healthy vibration data, and deploy real-time anomaly detection in Node-RED.

Industrial AI doesn't fail because of bad models - it fails because of bad architecture. Discover why signals need context and how a Unified Namespace makes AI work on the shop floor.

FlowFuse 2.26: Bringing access-controls to your MCP nodes

FlowFuse 2.24: FlowFuse Expert in the Node-RED Editor, Scheduled Updates, Simpler Edge Device Addition, Store and Forward Blueprint, and what's next!

Discover how FlowFuse combines LLMs and Model Context Protocol (MCP) with Node-RED to enable text-driven operations, transforming industrial data into actionable insights through natural language queries.

MCP and ONNX nodes, FlowFuse AI Expert on the homepage, Application-level Permission Control, FlowFuse Expert for Self-Hosted, and more!

Create your own AI agents and deploy trained models in Node-RED

Learn how to train and export an image classifier model, and integrate it with FlowFuse AI Nodes for low-code inference in Node-RED.

How edge-cloud hybrid AI architectures unlock new possibilities for industrial applications while leveraging the best of both worlds.

Learn how OpenAI's AgentKit and FlowFuse differ in their approach to AI agents, and discover which platform is right for building applications that connect the physical and digital worlds.

Learn the easiest way to connect to your database and get data, no coding knowledge required.

Introducing FlowFuse Expert functionality in Tables to do natural language queries of your databases, Remote Instance observability to improve performance monitoring, Team Broker nodes to make MQTT even easier to work with, a new Energy Monitoring Blueprint, Annual Billing for Self-Service, AI-Generated Snapshot Summaries, and new subflow version control to provide low-code development of custom nodes

Introducing FlowFuse Tables for data storage, Tables nodes for dashboard visualization, Smart Suggestions in the Node-RED editor, More Powerful Starter tier, Retrieval Augmented Generation Blueprint for intelligent applications, and a redesigned Applications page for better workspace management.