Magentic-UI
Magentic-UI is a research prototype of a multi-agent system that allows users to browse the web and automate tasks throu,Magentic-UI is a research prototype of a multi-agent system that a...
Magentic-UI is a research prototype of a multi-agent system that allows users to browse the web and automate tasks throu,Magentic-UI is a research prototype of a multi-agent system that a...
Mindber Score™
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Mindber Score™
Score pending - additional data required
Starting price
From $ 4 USD
Best for
Automated workflow
Free trial
✓ Free tier
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Magentic-UI is a practical fit for buyers evaluating Automated workflow, Efficiency tools, and #Automation tools.
- What is Magentic-UI?
- Magentic-UI is a research prototype of a multi-agent system that allows users to browse the web and automate tasks throu,Magentic-UI is a research prototype of a multi-agent system that allows users to browse the web and automate tasks through a transparent and controllable interface. Its main advantage lies in enhancing human-machine interaction efficiency while providing users with control over the automation process. This product is suitable for users who need to perform complex tasks on the network and supports various operations and custom settings Target UsersMagentic-UI is suitable for users who need to perform complex tasks on the network, such as data analysts, programmers, or any professionals looking to improve their work efficiency. Its flexibility and transparency allow users to maintain control during the automation process, thereby improving work efficiency.Use CasesAutomatically fill out forms on web pages to reduce repetitive work.Deeply navigate websites not indexed by search engines to quickly retrieve required information.Generate charts based on online data for data visualization analysis.FeaturesCollaborative Planning: Create and approve step-by-step plans through chat and plan editors.Collaborative Tasks: Users can directly intervene and guide task execution via the browser or chat.Action Protection: Sensitive operations require explicit approval from the user before execution.Plan Learning and Retrieval: Can learn from previous actions to optimize task automation.Parallel Task Execution: Supports running multiple tasks simultaneously, with users able to view task progress at any time.How to UseEnsure that Docker is installed and running.Create and activate a virtual environment in the terminal: python3 -m venv .venv && source .venv/bin/activate.Install Magentic-UI: pip install magentic-ui.Set the OpenAI API key: export OPENAI_API_KEY=<YOUR API KEY>.Run Magentic-UI: magentic ui --port 8081, and access it in the browser at http://localhost:8081.
- Who is it for?
- Developers who need to automate repetitive web workflows like form filling and data extraction; better than manual scripting for tasks requiring dynamic web navigation and human approval checkpoints.
- Pricing
- freemium
Product information
What this product does
Magentic-UI is a research prototype of a multi-agent system that allows users to browse the web and automate tasks throu,Magentic-UI is a research prototype of a multi-agent system that allows users to browse the web and automate tasks through a transparent and controllable interface. Its main advantage lies in enhancing human-machine interaction efficiency while providing users with control over the automation process. This product is suitable for users who need to perform complex tasks on the network and supports various operations and custom settings Target UsersMagentic-UI is suitable for users who need to perform complex tasks on the network, such as data analysts, programmers, or any professionals looking to improve their work efficiency. Its flexibility and transparency allow users to maintain control during the automation process, thereby improving work efficiency.Use CasesAutomatically fill out forms on web pages to reduce repetitive work.Deeply navigate websites not indexed by search engines to quickly retrieve required information.Generate charts based on online data for data visualization analysis.FeaturesCollaborative Planning: Create and approve step-by-step plans through chat and plan editors.Collaborative Tasks: Users can directly intervene and guide task execution via the browser or chat.Action Protection: Sensitive operations require explicit approval from the user before execution.Plan Learning and Retrieval: Can learn from previous actions to optimize task automation.Parallel Task Execution: Supports running multiple tasks simultaneously, with users able to view task progress at any time.How to UseEnsure that Docker is installed and running.Create and activate a virtual environment in the terminal: python3 -m venv .venv && source .venv/bin/activate.Install Magentic-UI: pip install magentic-ui.Set the OpenAI API key: export OPENAI_API_KEY=<YOUR API KEY>.Run Magentic-UI: magentic ui --port 8081, and access it in the browser at http://localhost:8081.
Sourced from microsoft.com
Works With
Platforms
- Web
- iOS
AI Models
- MagenticBrain
- Fara
Problem Solved
What problem does Magentic-UI solve?
It's for developers and technical users who want to automate real computer work — web research, form filling, file management — without depending on frontier-scale compute. Today, doing these tasks means manually clicking through websites, copying data between browser and files, and repeating the same steps for every expense form or file cleanup. MagenticLite pairs an orchestrator model (MagenticBrain) with a browser-use model (Fara) so the agent can run these workflows end to end while stopping to check in before critical actions. For example, instead of manually hunting down prices for every recipe ingredient across grocery sites, you hand the task to the agent and approve its actions as it goes.
Company & Maker
Who built Magentic-UI?
- Company
- Microsoft (microsoft.com)
- Product
- Magentic-UI is a research prototype of a multi-agent system that allows users to browse the web and automate tasks throu,Magentic-UI is a research prototype of a multi-agent system that allows users to browse the web and automate tasks through a transparent and controllable interface. Its main advantage lies in enhancing human-machine interaction efficiency while providing users with control over the automation process. This product is suitable for users who need to perform complex tasks on the network and supports various operations and custom settings Target UsersMagentic-UI is suitable for users who need to perform complex tasks on the network, such as data analysts, programmers, or any professionals looking to improve their work efficiency. Its flexibility and transparency allow users to maintain control during the automation process, thereby improving work efficiency.Use CasesAutomatically fill out forms on web pages to reduce repetitive work.Deeply navigate websites not indexed by search engines to quickly retrieve required information.Generate charts based on online data for data visualization analysis.FeaturesCollaborative Planning: Create and approve step-by-step plans through chat and plan editors.Collaborative Tasks: Users can directly intervene and guide task execution via the browser or chat.Action Protection: Sensitive operations require explicit approval from the user before execution.Plan Learning and Retrieval: Can learn from previous actions to optimize task automation.Parallel Task Execution: Supports running multiple tasks simultaneously, with users able to view task progress at any time.How to UseEnsure that Docker is installed and running.Create and activate a virtual environment in the terminal: python3 -m venv .venv && source .venv/bin/activate.Install Magentic-UI: pip install magentic-ui.Set the OpenAI API key: export OPENAI_API_KEY=<YOUR API KEY>.Run Magentic-UI: magentic ui --port 8081, and access it in the browser at http://localhost:8081.
- HQ
- Redmond
- Team size
- 5000+
- Live since
- Oct 2007
- Founders
- Bill Gates - Co-founder
- Paul Allen - Co-founder
Some facts above are based on publicly available information and may have changed.
The maker hasn't published a public statement we can verify yet.
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Magentic-UI is a research prototype multi-agent system that automates web browsing and computer tasks through a transparent, human-in-the-loop interface. It is used by developers and technical users who need to automate web research, form filling, and file management without frontier-scale compute.
Who should use
Buyer-fit is derived from approved personas and use-case evidence. Search-volume noise stays labeled separately.
Best-fit workflows
- Automatically fill out forms on web pages to reduce repetitive work
- Deeply navigate websites not indexed by search engines to quickly retrieve required information
- Generate charts based on online data for data visualization analysis
- Automates filling out expense forms across multiple web portals by navigating pages, entering data, and pausing for user approval before submission.
- Tracks and extracts pricing data for recipe ingredients from grocery sites, compiling results into a structured file for comparison.
- Generates charts from online data by scraping tables and feeding them into visualization libraries, with user oversight at each step.
Pricing reality
Vendor stated
No public pricing information available; page missing.
Actual cost
Likely free or open-source prototype, but requires OpenAI API key and Docker, incurring compute costs.
Hidden costs
3 hidden cost warnings — unlock to view
Pricing reality
Verified Oct 2026 / Vendor pricing evidence only
Starting price
From $ 4 USD
Free tier available.
Mindber only shows named plan cards when they come from linked pricing evidence. If the tier data is incomplete, this page falls back to the verified starting price instead of fabricating plan names or $0 tiers.
Git Large File Storage
$5 per month for 50 GB bandwidth and 50 GB of storage.
$5/mo
$ 4 USD per user/month
$ 4 USD
$ 4 USD per user/month for the first 12 months*
$ 4 USD
$ 21 USD per user/month
$ 21 USD
What pricing pages often hide
True cost for your case
LIVE ESTIMATEEstimated spend
$12Recurring billing is usually the real cost driver, not the first-month sticker price.
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Engagement signals (30d)
Based on 6 linked public signals.
Mindber Activity Score™
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HOW THIS TOOL SCORES
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Innovation Index™
Is it new, different, and easy to understand?
Functionality Score™
Does it cover the jobs buyers expect, and can it keep up?
Low confidence (40%) - some sub-scores have thin evidence.What this means →
Data sources
Traffic & search proof
Public view keeps the ratio story. Paid view unlocks exact monthly visits, full region coverage, and CPC-level keyword intelligence.
Latest traffic snapshot
Monthly visits
645.5M
Avg visit duration
00:06:27
Pages per visit
5.69
Bounce rate
36.44%
Traffic trend
Month-by-month visits from linked public traffic evidence.
Geography
Top regions
Exact monthly traffic is paid-only. Public view keeps percent share only.
Traffic sources
Source mix snapshot
Public view keeps the ratio snapshot. Minor channels stay behind the paid view.
FAQ
Only linked Q and A rows are shown. Empty FAQ data stays hidden.
Social mentions
Only linked public mention evidence is shown here.
Sources and methodology
Only evidence with a linked source record or explicit feature provenance is shown here. Data without provenance stays off the page.
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