The ForestHub Orchestration Platform Is Live
Note: This post reflects the state of ForestHub at the time of publication. The platform has evolved since then — the description below has been updated to reflect the current product.
On March 13, 2026, we opened the doors to the ForestHub Orchestration Platform. After months of building, testing, and iterating with early testers, the platform is ready for engineering teams shipping industrial AI agents.
What You Get
- Visual Workflow Builder — author workflows as graphs on a canvas. Wire deterministic operations, LLM agents, and triggers into a single artifact. Every possible flow is visible at design time.
- Engine in Docker — deploy the workflow as a Go binary in a distroless Docker image (linux/amd64 + arm64) on any Linux edge device — gateways, NUCs, NVIDIA Jetsons, Raspberry Pis, industrial PCs. The engine interprets the graph at runtime.
- Multi-LLM Routing — Backend-Key, Bring-Your-Own-Key, or On-Device per workflow. OpenAI, Anthropic, Gemini, Mistral via the FH proxy, or a self-hosted inference endpoint in your network.
- Industrial Protocols First-Party — MQTT (Mosquitto + auth), Modbus TCP/RTU, OPC-UA as node types, not bolted-on plugins. Triggers, publishers, and subscribers wire into the same graph.
- Knowledge Bases (RAG) — domain-specific context as a node type. Upload datasheets, specs, and service documentation. Agents query them at runtime.
- Inspectable, Replayable, Auditable, Bounded by Design — every LLM decision is a wire on the canvas, every run is a structured event log, CI replay is a primitive.
Free to Start
ForestHub is completely free to start. No credit card, no trial limits, no hidden costs. Register at app.foresthub.ai and deploy your first workflow to a Linux edge device in minutes.
Who This Is For
ForestHub is built for engineering teams shipping industrial AI agents that need to pass an audit. If you're building intelligent service diagnostics, predictive maintenance, building automation, autonomous sensing, or any application where an LLM-driven decision must be inspectable, replayable, auditable, and bounded — this is your platform.
What's Next
We met the community at the EDGE AI Summit in San Diego (March 24–26) and Hannover Messe (April 20–24). Watch /news for the next event and product updates.
Register now at app.foresthub.ai. Build something. Break something. Tell us what you need.
The graph is the program. The LLM is a node — now live.