explaingit

bytebot-ai/bytebot

11,013TypeScriptAudience · developerComplexity · 4/5LicenseSetup · moderate

TLDR

Bytebot is an open source AI agent that operates a full Ubuntu desktop environment to complete tasks in plain English, browsing websites, handling files, and working across apps just like a person would.

Mindmap

mindmap
  root((bytebot))
    What it does
      Desktop automation
      Plain English tasks
      Multi-app operation
    Tech stack
      TypeScript agent
      Docker Ubuntu desktop
      REST API
    Use cases
      Invoice processing
      Web research
      UI test automation
    Audience
      Developers
      Ops teams
      Non-API automators
Click or tap to explore — scroll the page freely

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

Things people build with this

USE CASE 1

Automate batch processing of PDF invoices by having Bytebot open vendor portals, download files, and organize them on a virtual desktop

USE CASE 2

Research information across multiple websites without writing custom scraping scripts

USE CASE 3

Synchronize data between systems that have no API by having Bytebot operate them like a human user

USE CASE 4

Run automated UI tests against desktop or web applications inside the virtual environment

Tech stack

TypeScriptDockerUbuntuREST API

Getting it running

Difficulty · moderate Time to first run · 30min

Requires an AI provider API key (Anthropic, OpenAI, or Google Gemini) and either Docker or a Railway account.

Use freely for any purpose including commercial, as long as you include the Apache 2.0 license notice and do not use the project name for endorsement.

In plain English

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.

Copy-paste prompts

Prompt 1
Show me how to deploy Bytebot on Railway and send it a task to collect and organize PDF invoices from multiple vendor websites
Prompt 2
How do I run Bytebot locally with Docker and trigger a task using the REST API from my own script?
Prompt 3
Walk me through configuring Bytebot with an Anthropic Claude API key and watching it complete a task in the web interface
Prompt 4
Give me an example task prompt I can send Bytebot to research a topic across five websites and return a summary
Prompt 5
How do I upload files for Bytebot to process and retrieve the results through the web interface?
Open on GitHub → Explain another repo

← bytebot-ai on gitmyhub — every repo by this author, as a profile.

Verify against the repo before relying on details.