UFO

Open-source multi-agent framework for automating Windows app interactions through natural language.

4.3 (4)

Geprüft von Daniel Nikulshyn·Aktualisiert Mai 2026

Windows Research Open Source Desktop Automation LLM Multi-Agent Developer Tools

Übersicht

UFO is a UI-focused agent framework designed to operate Windows applications by interpreting user requests in natural language and acting directly on graphical interfaces. It coordinates multiple specialized agents that observe the screen, plan steps, and execute actions across native and third-party Windows apps. The system combines large language models with screen understanding and control APIs, enabling tasks that span multiple applications, such as moving data between Word, Excel, and Outlook. It is primarily aimed at researchers and developers exploring desktop automation and OS-level AI agents.

Hauptfunktionen

Multi-agent planning and execution
Visual grounding of UI elements
Cross-app workflow handling
Natural language task input
Integration with LLM providers
Logging and step-by-step traces

Anwendungsfälle

Cross-App Office Workflows

Automate tasks that span Word, Excel, and Outlook using natural language, such as extracting data from a document and emailing a summary.

Research on OS-Level AI Agents

Provide researchers a framework to study multi-agent planning, visual grounding, and execution on real Windows desktop environments.

Prototyping Desktop Automation

Developers can build and test natural language driven automations for native Windows GUI applications with step-by-step traceable execution.

Benchmarking LLM UI Agents

Evaluate different LLM providers on GUI control tasks by leveraging UFO's logging, visual grounding, and modular agent roles.

Pro & Contra

Pro

Cross-application task automation on Windows
Multi-agent architecture with clear role separation
Open source and extensible
Works with native Windows GUI elements

Contra

Limited to the Windows ecosystem
Requires technical setup and API keys
Reliability varies with complex UIs
Not a polished end-user product

Bewertungen

4.3

Durchschnitt aus 4 Bewertungen.

Melde dich an, um eine Bewertung abzugeben.

Devin Walker

Use it every day

Honestly didn't expect to like it this much. Integration with LLM providers is exactly what I needed, and open source and extensible. I do wish reliability varies with complex UIs, but I reach for it almost every day now and it just clicks.

Linda Petersen

Solid for our team

We rolled this out across the team last quarter and multi-agent architecture with clear role separation. Integration with LLM providers fits neatly into how we already work, and logging and step-by-step traces removed a step we used to do by hand. Requires technical setup and API keys, which is the main caveat, but it has held up under daily use.

Hannah Goldberg

Use it every day

Honestly didn't expect to like it this much. Multi-agent planning and execution is exactly what I needed, and cross-application task automation on Windows. I do wish not a polished end-user product, but I reach for it almost every day now and it just clicks.

Sanjay Gupta

Does the job

Pretty happy overall. Natural language task input just works and open source and extensible. but no dealbreakers — I'd recommend it to a friend without hesitating.