Each node in the graph is a plain English instruction. An AI agent executes them in order inside a Docker container with a full browser and desktop. Because each node is independent, the agent stays on task, it doesn't drift or hallucinate its way through a free-form prompt.

No programming required to build workflows. If you can describe a step, you can add a node.

I personally use it for:

- Applying to jobs automatically using my saved credentials, exactly the way I would do it manually

- Scraping websites and running data analysis on the results in the same workflow

- Checking my university LMS on a schedule for pending assignments

A few technical details:

- Nodes: Navigate, Do, Read, Fill, Check, Code, ForEach, Bootstrap

- Any LLM via LiteLLM: Gemini, GPT-4o, Claude, Ollama, OpenRouter

- Watch it work over noVNC, pause and take control, hand back anytime

- Chrome sessions persist across restarts via a named Docker volume

- Webhook + cron triggers, secrets vault, human-in-the-loop confirmation per step

GitHub: github.com/aadya940/orbit-ui

Docs: orbit-cua.com