Bytebot is an LLM desktop automation framework and virtual Linux desktop environment. It enables AI agents to plan and execute mouse and keyboard actions on a virtual computer using natural language, allowing for autonomous desktop automation and the integration of legacy systems that lack native APIs.
The system operates as an LLM API gateway and a Model Context Protocol server, routing requests across multiple language model providers with integrated load balancing and rate limiting. It provides isolated, containerized environments where agents use visual reasoning to interpret screenshots and translate goals into precise UI actions.
The platform includes a comprehensive suite of orchestration tools for managing asynchronous task lifecycles, programmatic desktop control via REST, and real-time state streaming via WebSockets. It supports hybrid control modes, allowing users to monitor agent execution through a browser-based viewer and intervene manually when necessary.
Deployment is supported through Docker Compose, Helm charts for Kubernetes orchestration, and one-click cloud templates for private infrastructure hosting.
