#python #agents #ai #ai_ux #autogen #browser_use #computer_use_agent #cua #ui
Magentic-UI is a tool that helps you automate complex web tasks by working together with you. It lets you plan step-by-step actions, watch the progress, and approve sensitive steps to keep control and safety. You can interact with it through a browser, upload files, and even run multiple tasks at once. It learns from past tasks to improve future automation. This means you save time on repetitive or complicated web activities while staying in control, making your work easier and more efficient. It supports Python 3.10+ and works best with Docker or WSL2 on Windows.
https://github.com/microsoft/magentic-ui
Magentic-UI is a tool that helps you automate complex web tasks by working together with you. It lets you plan step-by-step actions, watch the progress, and approve sensitive steps to keep control and safety. You can interact with it through a browser, upload files, and even run multiple tasks at once. It learns from past tasks to improve future automation. This means you save time on repetitive or complicated web activities while staying in control, making your work easier and more efficient. It supports Python 3.10+ and works best with Docker or WSL2 on Windows.
https://github.com/microsoft/magentic-ui
GitHub
GitHub - microsoft/magentic-ui: MagenticLite is an experimental agent that works across the browser and local file system
MagenticLite is an experimental agent that works across the browser and local file system - microsoft/magentic-ui
#typescript #agent #agentic_ai #agents #ai #ai_agents #ai_tools #anthropic #automation #bytebot #computer_use #computer_use_agent #cua #desktop #desktop_automation #docker #gemini #llm #mcp #openai
Bytebot is an open-source AI desktop agent that acts like a virtual employee with its own computer, able to use real applications, browse websites, handle passwords, and process documents automatically. You just describe tasks in plain English, and Bytebot completes them by clicking, typing, downloading files, organizing data, and running complex workflows across multiple programs. It runs locally on your own infrastructure, ensuring privacy and full control, and supports many AI models. This helps you save time by automating repetitive or complex tasks without scripting, improving efficiency and accuracy in business, research, or development work.
https://github.com/bytebot-ai/bytebot
Bytebot is an open-source AI desktop agent that acts like a virtual employee with its own computer, able to use real applications, browse websites, handle passwords, and process documents automatically. You just describe tasks in plain English, and Bytebot completes them by clicking, typing, downloading files, organizing data, and running complex workflows across multiple programs. It runs locally on your own infrastructure, ensuring privacy and full control, and supports many AI models. This helps you save time by automating repetitive or complex tasks without scripting, improving efficiency and accuracy in business, research, or development work.
https://github.com/bytebot-ai/bytebot
GitHub
GitHub - bytebot-ai/bytebot: Bytebot is a self-hosted AI desktop agent that automates computer tasks through natural language commands…
Bytebot is a self-hosted AI desktop agent that automates computer tasks through natural language commands, operating within a containerized Linux desktop environment. - bytebot-ai/bytebot
#rust #accessibility #accessibility_api #ai_agents #automation #cli #computer_use #computer_use_agent #computer_use_agents #desktop_automation #macos #mcp #rust
agent-desktop lets AI agents see and control desktop apps on macOS, Windows, and Linux. It reads an app’s accessibility information and gives the agent references to elements it can click, type into, or otherwise operate. The agent can then check the result and continue. This makes it possible to automate desktop tasks without relying on screenshots or matching pixels. It is available as a command-line tool and a C library, and does not include an AI model.
https://github.com/vercel-labs/agent-desktop
agent-desktop lets AI agents see and control desktop apps on macOS, Windows, and Linux. It reads an app’s accessibility information and gives the agent references to elements it can click, type into, or otherwise operate. The agent can then check the result and continue. This makes it possible to automate desktop tasks without relying on screenshots or matching pixels. It is available as a command-line tool and a C library, and does not include an AI model.
https://github.com/vercel-labs/agent-desktop
GitHub
GitHub - vercel-labs/agent-desktop: Computer use CLI for AI agents
Computer use CLI for AI agents. Contribute to vercel-labs/agent-desktop development by creating an account on GitHub.