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Magentic-UI

Magentic-UI

Automate your web tasks while you stay in control

Website microsoft.com
Overview

What it is

Magentic-UI by Microsoft Research is an open-source human-centered web agent. Collaboratively plan & execute web tasks with AI, featuring co-planning, action guards & plan learning. Built on AutoGen.

Intent

I need it when

Execute tasks requiring web browsing, code execution, and file analysis in a single integrated workflow

Magentic-UI's multi-agent architecture includes WebSurfer for browser control, Coder for Python and shell execution, and FileSurfer for file conversion and analysis. This allows users to combine web automation, data processing, and document handling in one coordinated task.

Complete complex, multi-step web-based tasks while maintaining visibility and control over agent actions

Magentic-UI enables co-planning and co-tasking, allowing users to review and modify the agent's step-by-step plan before execution, pause mid-task to provide feedback, and take direct browser control when needed. This human-in-the-loop approach ensures users understand what the agent is doing and can intervene if something goes wrong.

Automate repetitive web tasks like form filling, dashboard navigation, and data collection while ensuring safety for irreversible actions

Magentic-UI includes action guards that require user approval before executing consequential or irreversible actions (e.g., closing tabs, submitting forms, making payments). Users can configure approval frequency, balancing automation with safety and control over critical operations.

Reuse and adapt solutions for similar recurring tasks without rebuilding workflows from scratch

Magentic-UI's plan learning feature allows users to save step-by-step plans from successful task completions and reuse or modify them for future similar tasks. Users can view and edit saved plans in a gallery, reducing setup time for repetitive work patterns.

Research and evaluate AI agent oversight mechanisms and human-AI collaboration patterns

Magentic-UI is an open-source research prototype designed specifically to study human-in-the-loop approaches and oversight mechanisms. Researchers can use it to investigate co-planning, co-tasking, action guards, and plan learning as design patterns for trustworthy AI agents.

Drop

Not a fit when

  • User requires a fully autonomous agent without human oversight or approval workflows
  • User needs production-grade support and commercial SLA guarantees for enterprise deployment
  • User wants to automate simple web searches or information retrieval without complex multi-step planning
  • User operates in environments where browser control and code execution capabilities are restricted or prohibited
  • User requires real-time performance without upfront planning and collaborative refinement phases
Commercials

Pricing

Open-source research prototype; free to use under MIT license View pricing