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bytebot

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Basic Information

This repository provides Bytebot, an open-source self-hosted AI desktop agent that gives an AI its own virtual computer to complete tasks. It packages a full Ubuntu 22.04 desktop environment with XFCE and common applications so the agent can use browsers, email clients, editors, IDEs, and command-line tools. Bytebot accepts natural language task descriptions, can receive uploaded files, log into websites using password managers, read and process documents and spreadsheets, and run multi-step workflows across different programs. The codebase includes a NestJS service that coordinates AI and desktop actions, a Next.js web UI for creating and monitoring tasks, and REST APIs for programmatic task creation and direct desktop control. Deployment options shown include Docker Compose, Railway, and Kubernetes via Helm. The project is intended to enable autonomous, repeatable task automation on infrastructure you control.

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1011
App URL
https://github.com/bytebot-ai/bytebot
Github Repository
https://github.com/bytebot-ai/bytebot/blob/main/README.md

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App Details

Features
Bytebot exposes an integrated set of features for autonomous desktop automation. It offers natural language task input and file uploads so the agent can ingest and process documents and PDFs. A persistent virtual desktop (Ubuntu 22.04 with XFCE) includes preinstalled tools like Firefox and VS Code so the agent can run real applications and install new software. The web UI provides live desktop viewing and a takeover mode to manually intervene. Password manager support enables automated authentication. Programmatic control is available via REST APIs with examples for creating tasks, taking screenshots, and sending mouse clicks. The architecture supports multiple AI providers including Anthropic Claude, OpenAI GPT, and Google Gemini and can be extended via LiteLLM integrations. Deployment is supported with Docker, Railway, and Helm for Kubernetes.
Use Cases
Bytebot helps teams and individuals automate complex, multi-application workflows that are difficult to achieve with API-only bots or basic RPA. It can automate business process tasks such as invoice extraction, data entry across vendor portals, multi-source report generation, and compliance checks by using a real desktop environment to access sites and files. For development and testing it supports automated UI testing, cross-browser checks, screenshot documentation, and deployment verification. For research and analysis it can gather web data, summarize documents, and compile market or competitive reports. Self-hosting enables data privacy and full control of the environment and API keys. Programmatic APIs and direct desktop control let developers integrate Bytebot into pipelines or trigger tasks from other systems.

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