bytebot

Bytebot is an AI agent that runs inside its own virtual computer. You give it a task in plain English, and it operates a full desktop environment to complete that task: opening browsers, clicking through websites, downloading files, filling out forms, and working across applications, just as a person sitting at a keyboard would.

The core idea is that many real-world tasks span multiple systems or require interacting with software that has no API. A task like collecting invoices from several vendor portals, organizing them into folders, and summarizing the totals is difficult to automate with traditional scripts but straightforward for Bytebot because it operates at the screen level. It can read PDFs, log into websites using a password manager, run command-line tools, and install additional programs as needed.

Bytebot runs on your own infrastructure, either deployed to a hosting platform with one click (Railway is the quickest option) or launched locally using Docker. The virtual desktop is a full Ubuntu Linux environment with common applications pre-installed. A web interface lets you create tasks, upload files for Bytebot to process, and watch a live view of the desktop while work is in progress. There is also a REST API if you want to trigger tasks from your own code or other systems.

The agent layer supports multiple AI providers: Anthropic Claude, OpenAI GPT, and Google Gemini. You supply whichever API key you have, and Bytebot uses that model to interpret your instructions and decide what actions to take on the desktop.

Example use cases in the README include processing batches of PDF invoices, researching information across multiple websites, running automated UI tests, and synchronizing data between systems that do not connect to each other directly. The project is open source under the Apache 2.0 license.