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Bytebot: AI desktop agents that automate tasks across applications like a human, at cloud scale. Open source.
Bytebot represents a significant leap forward in AI-powered automation, offering desktop agents that can interact with computers just like a human, but at cloud scale. This innovative tool bridges the gap between large language models (LLMs) and real-world work by providing AI with its own sandboxed computer environment. Bytebot can execute tasks across multiple applications by interpreting on-screen elements, simulating clicks and keystrokes to achieve complex workflows.
Bytebot is an that essentially gives artificial intelligence its own computer. It operates within a containerized Linux desktop environment, granting it the ability to use any application, process documents, navigate websites, and execute intricate multi-step workflows based on simple natural language commands. It functions as a virtual employee, capable of visual perception (seeing the screen), motor control (moving the mouse, typing), and task completion.
Bytebot offers a robust set of features designed for powerful and flexible automation:
Bytebot is ideal for developers, enterprises, and small businesses looking to automate repetitive or complex tasks that require human-like interaction with desktop applications. It's particularly useful for teams needing to scale automation efforts without extensive scripting or RPA setup.
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Pricing Model
Supported Platforms
Supported Languages
Automates tasks by interacting with applications through screen, clicks, and keystrokes, mimicking human actions.
Scale automation from one to hundreds of agents running in parallel for large-scale task execution.
Operates in a complete, sandboxed Linux desktop environment with pre-installed apps and the ability to install custom software.
Allows users to take control of the agent's actions at any point and then resume the automated task.
Provides detailed logs with before-and-after screenshots of every action for easy inspection and auditing.
Open-source and portable, runnable locally via Docker Compose or deployable on major cloud platforms (AWS, GCP, Azure).
