robocorp/robocorp

Create 🐍 Python AI Actions and 🤖 Automations, and deploy & operate them anywhere

What it solves

It provides a comprehensive automation stack for Python, allowing developers to build automation tasks and "AI Actions" that can interact with browsers, Windows desktop applications, and files like Excel.

How it works

The project is organized as a set of Python libraries. It offers a robocorp meta-package for core framework features (logging, secrets management via Vault, and work item tracking) and specialized libraries for specific automation targets, such as robocorp.browser (based on Playwright) and robocorp.windows (based on uiautomation). It also integrates with an Action Server to enable AI-driven automation through sema4ai-actions.

Who it’s for

Python developers building robotic process automation (RPA) and AI-powered agents that need to interact with legacy software, desktop apps, and web interfaces.

Highlights

  • AI Action Integration: Enables the creation of AI Actions to give "hands" to AI models via the Action Server.
  • Multi-Platform Automation: Dedicated libraries for web browsers, Windows desktop apps, and Excel files.
  • Control Room Integration: Built-in support for managing secrets (Vault), assets (Storage), and data flow (Work Items).
  • Extensible Ecosystem: Compatible with the broader Python ecosystem and the RPA Framework.

Related

  • Project
    robocorp/rpaframework

    An open-source collection of libraries for Robotic Process Automation (RPA) that enables the automation of web, desktop, and cloud-based software tasks using Python and Robot Framework.

  • Project
    OpenHands/software-agent-sdk

    A Python and REST API SDK for building AI agents that can write, edit, and maintain code in local or ephemeral workspaces.

  • Project
    RasaHQ/rasa-sdk

    A Python SDK for developing custom actions for Rasa, allowing chatbot developers to implement complex, custom logic in Python.

  • Project
    i-am-bee/beeai-framework

    A comprehensive toolkit for building production-ready autonomous agents and multi-agent systems in Python and TypeScript, featuring integrated RAG, memory, and multi-LLM support.

  • Project
    wzyn20051216/solidworks-automation-skill

    An automation framework and MCP server that enables AI agents and Python scripts to control SolidWorks and AutoCAD for 3D modeling, assembly, and FEA simulation.