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ForestHub vs n8n
n8n is a workflow automation platform with a large ecosystem, and for cloud and SaaS automation it is an excellent choice. This page answers a narrower question: what happens when the workflow has to run next to the machine, on premise, sometimes without internet, with every decision auditable.
n8n is the better fit if
- The workflows connect SaaS tools, APIs and internal business services in the cloud
- The team wants 400+ ready integrations out of the box
- A managed cloud offering billed by workflow executions fits the operating model
ForestHub is the better fit if
- The workflow runs on a Linux edge device next to the machine, on premise or air-gapped
- LLM decisions need to be bounded by a graph and fully auditable after the fact
- Machine data over MQTT is the core of the use case
Side by side
| Dimension | ForestHub | n8n |
|---|---|---|
| Category | Edge AI and agents orchestration platform | Workflow automation platform for technical teams |
| License | Open source runtime (AGPL-3.0, ForestHubAI/edge-agents), commercial backend | Fair-code (Sustainable Use License), separate enterprise license for .ee features |
| Deployment | Engine as a Docker image on Linux edge devices (amd64 and arm64), runs on premise | Self-hosted via Docker or npm (Node.js 20.19 to 24.x) or n8n Cloud |
| Industrial protocols | MQTT first-party, HTTP and REST APIs | MQTT node built in. No first-party Modbus or OPC UA |
| Ecosystem and integrations | Multi-LLM routing, knowledge bases (RAG), HTTP APIs | 400+ app and service integrations |
| AI and agents | Graph-first agents. The LLM is one node among many, every run is recorded and replayable | LangChain-based AI nodes, one agent mode since v1.82, MCP server trigger, AI Workflow Builder in beta (credit-based) |
| Pricing | Runtime free and open source (AGPL-3.0), platform signup at app.foresthub.ai | Cloud tiers from 20 EUR/month (annual billing), free self-hosted Community Edition |
All n8n entries follow the linked sources below and reflect the state of June 2026.
Two platforms, two centers of gravity
n8n describes itself as a workflow automation platform that gives technical teams the flexibility of code with the speed of no-code. It runs as a Node.js application, ships 400+ integrations and is licensed fair-code under the Sustainable Use License. That license allows internal business use but it is not an OSI-approved open source license.
ForestHub is an edge AI and agents orchestration platform. Workflows are authored as graphs in a visual builder and executed by an engine that ships as a Docker image for Linux edge devices (amd64 and arm64). The LLM is one node among many. It never drives the loop. The runtime is open source under AGPL-3.0 and runs standalone, the backend adds convenience and governance on top.
On premise, air-gapped, at the edge
n8n self-hosts well: official Docker image, npm install, documented requirements (Node.js 20.19 to 24.x). For server-grade on-premise automation that is a proven path.
The edge is a different environment. Constrained hardware, intermittent connectivity and devices that speak MQTT rather than webhooks. The ForestHub engine is a Go binary in a distroless Docker image built for exactly this surface, and offline operation counts as a normal state, not an error.
AI agents with an audit trail
n8n's AI capabilities are LangChain-based: LLM chains, vector stores and provider nodes for OpenAI, Anthropic, Google Gemini, Mistral and Cohere. Since v1.82 all AI agent nodes work as a tools agent. The AI Workflow Builder generates workflows from natural language, runs in beta and is credit-based.
ForestHub works graph-first. Agents are explicit graphs in which the LLM occupies single, bounded nodes. Every run is recorded as a path through the graph and can be retraced node by node. AI-assisted workflow creation builds graphs against the workflow contract, and deployed workflows pass validation first.
n8n vs Node-RED vs ForestHub
This comparison usually has a third candidate in the room. A common split recommends n8n for cloud and SaaS automation and Node-RED for hardware and MQTT wiring, and for many setups that split is exactly right.
The gap sits between them. Node-RED has no LLM or agent features in its core, and n8n's center of gravity is cloud and SaaS automation. Production AI agents at the industrial edge need both worlds: graph execution on the device and bounded, auditable LLM decisions. That combination is the job ForestHub is built for.
An honest recommendation
If the automation lives in the cloud and connects SaaS systems, n8n is the better tool. It is more mature in that domain, has a much larger integration catalog and a pricing model built for it. Nothing about an edge gateway makes a CRM workflow better.
If agents have to run at the industrial edge, hold up to an audit and keep working when the uplink drops, that is the case ForestHub is built for. Both can coexist: n8n for the business layer in the cloud, ForestHub for the machine layer on site.
Frequently asked questions
Is n8n suitable for industrial IoT?
Partly. n8n ships an MQTT node and an MQTT trigger, so MQTT-based integrations work. Modbus and OPC UA are not part of the built-in nodes. As of June 2026, Modbus coverage came from third-party community packages, and no available community node for OPC UA was findable on npm. Deeper industrial protocol coverage comes from tools built for that job.
Can n8n run on premise or air-gapped?
Yes. n8n is self-hostable via Docker or npm and runs without its cloud offering. Plan for a Node.js runtime environment and check the Sustainable Use License for the intended use. ForestHub targets the same on-premise requirement with an engine image built for Linux edge devices.
Does n8n run on edge devices and single-board computers?
n8n's documented installation paths are Docker and npm with a Node.js runtime (20.19 to 24.x). How well that fits a given edge device depends on its resources. ForestHub deploys its engine as a Docker image for amd64 and arm64 Linux edge devices.
n8n vs Node-RED vs ForestHub, which one when?
n8n for cloud and SaaS automation. Node-RED for lightweight event wiring and prototyping close to hardware. ForestHub for production AI agents at the industrial edge, where graph execution on the device, MQTT connectivity and a full audit trail come together.
Sources and date
All statements about n8n on this page were checked against the sources below, last verified on June 12, 2026. If something is outdated, a short note to the team is enough and the page gets corrected.
Build a graph, replay a run
At app.foresthub.ai, author a workflow as a graph in the visual builder and deploy the engine to a Linux edge device. For enterprise evaluations, the team walks through architecture, audit and rollout questions together.