Magentic-UI
Magentic-UI is an open-source, human-centered web agent prototype by Microsoft Research that enables collaborative planning and execution of complex web-based tasks through transparent interaction between humans and AI agents.
https://www.microsoft.com/en-us/research/blog/magentic-ui-an-experimental-human-centered-web-agent?ref=aipure
Product Information
Updated:Jun 16, 2025
Magentic-UI Monthly Traffic Trends
Magentic-UI received 1.2b visits last month, demonstrating a Slight Growth of 1.9%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
View history trafficWhat is Magentic-UI
Magentic-UI, introduced by Microsoft Research in 2025, is a research prototype that builds upon their earlier Magentic-One system and AutoGen framework. It is designed to address the challenge of automating repetitive web-based tasks while keeping humans in control of the process. Unlike other autonomous web agents, Magentic-UI emphasizes human-AI collaboration, transparency, and safety. The system is freely available on GitHub under MIT license and can be accessed through Azure AI Foundry Labs for developers, startups, and enterprises to explore and integrate into their workflows.
Key Features of Magentic-UI
Magentic-UI is an open-source human-centered web agent prototype developed by Microsoft that enables collaborative task execution between users and AI. It can browse the web, execute code, and analyze files while maintaining user control and transparency. The system features collaborative planning, real-time execution monitoring, safety guards for irreversible actions, and the ability to learn from previous interactions to improve future task completion.
Collaborative Planning (Co-planning): Users can review, modify, and approve AI-generated step-by-step plans before execution, ensuring tasks are completed according to user preferences
Real-time Execution Control (Co-tasking): Users can monitor actions in real-time, pause execution, provide feedback, and take manual control of the browser when needed
Action Guards: System requires explicit user approval before performing potentially irreversible actions, with configurable permission levels for different types of actions
Plan Learning and Reuse: Capability to save successful task execution plans and reuse them for similar tasks in the future, improving efficiency over time
Use Cases of Magentic-UI
Web Form Automation: Automating repetitive form filling tasks while allowing users to verify sensitive information input
Research and Data Collection: Gathering information from multiple web sources with user guidance on relevance and accuracy
Task Documentation: Creating reusable workflows for common web-based tasks by learning from user interactions and feedback
Pros
High level of user control and transparency in AI operations
Built-in safety features through Docker sandboxing and action guards
Ability to learn and improve from past interactions
Cons
Requires more upfront user interaction compared to fully autonomous agents
Limited to pre-approved websites for security purposes
Still in research prototype phase with potential stability issues
How to Use Magentic-UI
Access Magentic-UI: Access Magentic-UI either through GitHub (local installation) with MIT license or through Azure AI Foundry Labs (cloud version)
Input Task: Enter your task request in text format and attach any relevant images in the interface. The task should be web-based, such as searching, form-filling, or navigating dashboards
Review Generated Plan: Magentic-UI will create a detailed step-by-step plan showing how it intends to complete your task. Review this plan carefully before execution
Modify Plan (Optional): Use the plan editor to add, delete, edit, or regenerate steps. You can also provide textual feedback to refine the plan before execution
Configure Safety Settings: Set up action guards and website allow-lists to control which actions require your approval and which websites Magentic-UI can access
Approve Execution: Give final approval for Magentic-UI to begin executing the plan
Monitor Progress: Watch real-time updates of actions being performed in the dedicated panel. You can pause, provide feedback, or take control at any time
Approve Actions: When configured, approve or reject potentially irreversible actions through the action guard system
Review Results: Check the final output and results of the completed task
Save Plan (Optional): Request Magentic-UI to learn and save the successful plan for future similar tasks in the saved-plans gallery
Magentic-UI FAQs
Magentic-UI is an open-source research prototype developed by Microsoft Research that functions as a human-centered AI agent. It's designed to help users collaborate with technology to accomplish complex web-based tasks in real time through a web browser.
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Analytics of Magentic-UI Website
Magentic-UI Traffic & Rankings
1.2B
Monthly Visits
#33
Global Rank
#3
Category Rank
Traffic Trends: Jun 2024-May 2025
Magentic-UI User Insights
00:03:11
Avg. Visit Duration
3.42
Pages Per Visit
44.55%
User Bounce Rate
Top Regions of Magentic-UI
US: 19.91%
JP: 6.72%
BR: 5.4%
GB: 4.97%
IN: 4.29%
Others: 58.71%
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