Bytebot

What is Bytebot?

Bytebot is an open source AI desktop agent that operates a sandboxed Linux computer — mouse, keyboard, and screen — to complete tasks from natural-language instructions. Instead of calling APIs, it drives a real Ubuntu desktop the way a person would, so it can use any application on screen. Each agent runs in its own Docker container.

What is Bytebot best for?

Teams automating multi-step work that spans several desktop applications, not just a browser tab — downloading statements from a banking portal, reconciling accounts, filling forms, or extracting data from PDFs. It suits people who want an AI agent that adapts to UI changes without pre-mapping every element, and who need everything to stay on their own infrastructure.

What can Bytebot do?

• Run a full virtual desktop with a browser, file system, terminal, and code editor (Ubuntu 22.04 + XFCE)
• Take plain-English task descriptions and complete them by reasoning over what it sees on screen
• Log into sites and apps using password managers, including 2FA (Bitwarden, 1Password)
• Read and process uploaded documents, PDFs, and spreadsheets
• Hand control to a human at any point with “Takeover Mode,” keeping full action history and screenshots
• Work with Anthropic Claude, OpenAI, or Google Gemini — plus 100+ providers through LiteLLM

Is Bytebot free?

Yes — Bytebot is free and open source under the Apache-2.0 license, with no subscription or per-robot fees. Your only running costs are the AI provider’s API usage (often a few cents per task) and the infrastructure to host the Docker containers.

Where does Bytebot fall short?

• The upstream repository is archived (read-only since March 7, 2026). The code stays available under Apache-2.0 and can be self-hosted or forked, but there’s no official ongoing development, security patching, or issue triage — a serious consideration for production use.
• Agent reliability is a real limit. Vision-driven desktop agents still fail on some tasks, and one independent review noted limited differentiation from what a general LLM can already do. Expect to supervise runs rather than fully trust them unattended.
• Every agent needs a full Linux desktop container. That is far heavier than a browser-only or API-based automation, so running many agents concurrently means provisioning real CPU, memory, and orchestration.

What does Bytebot replace?

Bytebot stands in as a self-hosted alternative to enterprise RPA platforms — it targets the same work as UiPath, Automation Anywhere, and Blue Prism. The difference is approach: instead of building flowcharts and mapping UI selectors, you give plain-English instructions and the AI adapts to layout changes on its own.

FAQ

Is Bytebot open source? Yes. Bytebot is released under the Apache-2.0 license, a permissive OSI-approved license, so you can self-host, modify, and fork it freely.

Can I self-host Bytebot for free? Yes. Self-hosting is free — you run it with Docker Compose and pay only for your infrastructure and your AI provider’s API usage. There is no license or usage fee.

Is Bytebot a good UiPath alternative? For teams comfortable with self-hosting and AI-driven automation, it removes RPA licensing and per-robot costs and adapts to UI changes without pre-mapped scripts. But note the repo is archived and agent reliability varies, so weigh it against a supported commercial platform for mission-critical work.

What do I need to run Bytebot? Docker and Docker Compose, an API key for an AI provider (Anthropic, OpenAI, or Gemini), and enough CPU and memory to run one Linux desktop container per agent. A basic setup runs locally or on a cloud VM in minutes.