edge-agents vs Node-RED for AI Agents at the Edge
Node-RED and the open-source edge-agents runtime overlap in one way — both are visual, run locally, and target the edge — but they solve different problems. Node-RED is a mature OT/IoT integration tool with plugin-based AI; edge-agents is a purpose-built agent runtime with a native agent graph, hardware nodes and offline LLMs, but a smaller ecosystem and OPC-UA still on its roadmap. This is the focused head-to-head; the broad six-platform table lives on Best Edge AI Agent Platforms.
Disclosure: This site is published by ForestHub.ai, which builds edge-agents. The criteria below are applied the same way to both tools, and Node-RED’s genuine strengths are stated plainly.
At a Glance
| Criterion | edge-agents | Node-RED |
|---|---|---|
| Local execution | Strong — offline by default | Strong — runs fully offline |
| Industrial protocols | MQTT first-class; OPC-UA / Modbus on roadmap | Strong — OPC-UA, Modbus, S7, MQTT, EtherNet/IP, BACnet |
| Visual builder | Strong — React Flow agent canvas | Strong — flow-based editor (its defining feature) |
| Agentic loop | Native — agentTask / agentChoice / agentDelegate edges | Plugin-based — LLM calls via HTTP/contrib nodes |
| Hardware I/O nodes | Native — GPIO, ADC, DAC, PWM, UART | Via contrib nodes / platform GPIO nodes |
| Offline LLM | Native — local or cloud, configurable | Via community nodes calling external servers |
| Ecosystem size | Smaller, newer | Large, mature since 2013 |
| License | Apache-2.0 + AGPL-3.0/commercial (dual) | Apache-2.0 |
Where Node-RED Wins
Node-RED is the more mature OT integration platform, and it is not close on two axes:
- Protocol breadth, today. Node-RED has a rich, battle-tested node library: OPC-UA, Modbus, S7, MQTT, EtherNet/IP, BACnet.
edge-agentshas MQTT as a first-class transport now, with OPC-UA and Modbus on the roadmap. If your project needs OPC-UA on day one, Node-RED has it andedge-agentsdoes not yet. - Ecosystem and community. Node-RED has been deployed in OT/IoT since 2013 with a huge contrib-node catalog.
edge-agentsis newer and focused, with a correspondingly smaller ecosystem.
Where edge-agents Wins
edge-agents was built as an agent runtime, not an integration tool, and that shows where agentic behaviour is the point:
- Native agent graph. The five edge types —
control,tool,agentTask,agentChoice,agentDelegate— model planning, branching and delegation as first-class concepts. In Node-RED, agent behaviour is assembled from generic flow nodes and HTTP calls to an external LLM; there is no native notion of an agent task or delegation. - Hardware I/O as native primitives. GPIO, ADC, DAC, PWM and UART are first-class workflow nodes in
edge-agents, sitting in the same graph as the agent steps. - Offline LLM as a first-class option. Pointing the engine at a local llama.cpp model (or a cloud model) is a configuration choice, not a custom-node project. See the quickstart.
- Contract-first consistency. A single OpenAPI 3.0.3 contract generates both the Go engine and the TypeScript tooling, so the model is authoritative and consistent.
How to Choose
- You need broad industrial protocol coverage today (OPC-UA, Modbus, S7): Node-RED, or Node-RED as the protocol layer.
- You want a native agentic loop with hardware nodes and offline LLMs:
edge-agents. - You want both: use Node-RED to bridge OPC-UA / Modbus field data into MQTT, and let
edge-agentssubscribe to MQTT and run the agent graph. The two are complementary — Node-RED for OT integration,edge-agentsfor the agent runtime. This is the recommended pattern until native OPC-UA lands on theedge-agentsroadmap.
Try It
The edge-agents runtime is open source — browse the source on GitHub or run it on a Pi in 60 seconds. It is built by ForestHub.ai; for a production evaluation, book an architecture call.
Related Pages
- Open-Source Edge Agent Runtime
- Best Edge AI Agent Platforms — the full six-platform comparison
- Edge Agent Quickstart
- Edge Agent Hardware Support Matrix
FAQ
Is Node-RED an AI agent platform? Not natively. It is a visual integration/flow tool. AI capabilities come from HTTP nodes or community contrib nodes calling external inference servers; there is no built-in concept of agent goals, planning or delegation.
Can edge-agents talk to OPC-UA devices?
Not natively yet — OPC-UA is on the roadmap. Today, bridge OPC-UA into MQTT (Node-RED does this well) and have edge-agents consume the MQTT stream.
Can I use both together?
Yes, and it is the recommended pattern: Node-RED handles OT protocol translation to MQTT, edge-agents runs the agent graph. See “How to Choose” above.