UiPath agents are AI-driven automations that reason over a goal and take actions to reach it, rather than following a fixed sequence of steps. With a coding agent, you can describe the agent you want and have it scaffolded, wired up, and ready to run.

A typical agent handles work that benefits from judgment — triaging requests, drafting responses, or deciding which downstream automation to call. Your coding agent can build these in Python — with LangGraph, LlamaIndex, or OpenAI Agents — or in a low-code form, depending on what you ask for.

When an agent is one step in a larger process — with approvals, branching, and other systems — it can run as a node inside a Maestro Flow, which orchestrates it alongside people, RPA, and other automations.

This work is powered by the uipath-agents skill, which your coding agent selects when you describe an agent. You can see it alongside the rest in the Skills catalog.

A first request might look like this:

"Create a UiPath agent that reads a new support ticket, classifies its urgency, and drafts a suggested reply for a human to approve."

From there you refine the agent conversationally — adjusting its inputs, tools, and approval steps.

For the full picture of UiPath agents — concepts, capabilities, and platform behavior — see the UiPath Agents documentation.