FlowFuse 2.31: Agentic Development Now in Open Beta, FlowFuse Expert Builds Your Industrial App on Edge Devices

TL;DR

FlowFuse 2.31 brings agentic application building to open beta: describe what you want and FlowFuse Expert builds it on your Node-RED workspace. Plus new Certified Nodes (RTSP, OPC UA, AI) and per-team and per-instance control over AI.

FlowFuse 2.31 lets FlowFuse Expert build your industrial application for you, now in open beta. Describe what you need, and Expert assembles it on your workspace.

Let FlowFuse Expert build your industrial application

FlowFuse Expert is our integrated AI assistant, in the website, the platform, and the immersive Node-RED editor.

Describe what you want to build, an OEE dashboard, an MES handover screen, a UNS topic mapping, and FlowFuse Expert assembles the flow on your workspace for you. With 2.31 this moves out of soft launch into an open beta: switched on for your team on FlowFuse Cloud, no request needed. On Self-Hosted Enterprise, contact us to enable it, and new self-hosted customers get it enabled automatically.

It now works on Remote Instances as well as Hosted Instances, so you get the same build-it-for-me experience across both.

Certified Nodes for industrial connectivity and AI

FlowFuse now offers certified nodes: vetted, FlowFuse-supported nodes you can add to your instances. At launch you can get:

• RTSP: bring live video streams into your flows, like camera feeds for monitoring, inspection, or feeding frames into a vision or AI pipeline.

• OPC UA: connect to your industrial equipment, the standard for talking to PLCs, SCADA systems, and machines on the plant floor.

• AI nodes: call leading AI models straight from your flows, with more providers following soon:

  • Anthropic
  • OpenAI
  • Gemini
  • Ollama, for models you run yourself

  These first LLM nodes handle single-shot, text-in/text-out calls; see the LLM nodes documentation for details. Multimodal input, conversation history, and tool calling are planned for follow-up iterations. They join the FlowFuse AI Nodes package we shipped in 2.23, which already includes the ONNX Inference, Image Classification, Object Detection, and Image Depth Estimation nodes for running vision and custom models on-device, with no external API calls.

Certified Nodes are available to FlowFuse Cloud customers. Get in touch with sales or your account rep, and we'll enable the ones your team needs.

What else is new?

• Control over where AI runs: FlowFuse Cloud enables AI by default. Toggle it per team. Self-Hosted Enterprise disables it by default, and you can toggle it per team or per instance.
• Custom CA certificates are now documented for environments that need them.
• Smaller fixes: secure (wss://) connections to your MQTT broker now work from the editor, and custom packages with uppercase names no longer break pipeline deploys.

A quick note from our team off-site in Greece

We spent part of this cycle together in Greece for a full-company off-site, and it shaped what you see (and do not yet see) in 2.31.

Getting everyone in one place let us reset our roadmaps and how we work, the kind of introspection that is hard to do day-to-day and fully remote. It is also why 2.31 is lighter on big features: a lot of this month went into foundational groundwork for what is coming next. We will share more soon.

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For detailed breakdowns of each feature with additional visuals, visit our changelog. For the complete list of everything included in FlowFuse 2.31, check out the release notes.

If something in this release improves your workflow, or if there is still friction we can remove, please share feedback or report issues regarding this release with us.