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.
A lot of the AI agent stuff we see aims for total hands-off automation, which can be a bit of a black box and sometimes unnerving. Microsoft Research is offering a different path with Magentic-UI, a new open-source research prototype. It’s built for web tasks with a focus on keeping humans firmly in the loop.
Instead of the AI just running off on its own, Magentic-UI is all about collaboration. You can co-plan tasks with it, tweak its plans before it starts, and even jump in to guide it or take over while it's working. It also has "action guards" to ask for your okay before doing big things. It can still browse, code, and work with files, but you have more oversight.
It’s built on AutoGen and designed for researchers and devs to explore better human-AI teamwork on the web.
We're constantly handling a bunch of routine tasks, so a tool like this could be a real time-saver. Looking forward to testing it out!
Looks interesting, if only it worked!
Fix the readme and build instructions, right now there are a few steps missing and some serious QA stuff that needs addressing.
Very useful service, we have a tons of mundane UI related operations, I believe this one can help us.
I will give it a try!
Congratulations to the Microsoft Research team on launching Magentic-UI on Product Hunt!
Magentic-UI is an open-source, human-centered web agent designed to automate complex online tasks while keeping users in control. Unlike traditional AI agents that operate autonomously, Magentic-UI emphasizes collaboration, allowing users to co-plan and co-execute tasks with the system. Key features include a transparent task panel displaying real-time actions, the ability to pause and provide feedback, and safeguards requiring user approval for sensitive operations.
Built on Microsoft's AutoGen framework, Magentic-UI integrates specialized agents like WebSurfer, FileSurfer, and Coder, all orchestrated to perform tasks such as web navigation, code execution, and file management.
This approach not only enhances transparency and user trust but also sets a new standard for human-AI interaction in web automation. Looking forward to seeing how Magentic-UI evolves and contributes to more intuitive and controllable AI systems!
Magentic-UI sounds like a refreshing take on automation, putting control back in the user's hands. Love the focus on collaboration and transparency. This will be such a valuable tool for researchers and developers to explore more intuitive human-AI interactions. Great work by the team! 👏
I wonder what captchas going to look like in the future. When we can use agents solving tasks on the web.
