UFO²

Product Introduction

1. UFO² is an open-source Desktop AgentOS designed to automate multi-application workflows on Windows through natural-language instructions. It combines hybrid GUI and API control with a multi-agent framework to execute tasks across applications like Office, browsers, and system utilities. The system operates in a sandboxed virtual desktop environment to avoid interrupting user workflows.
2. The core value of UFO² lies in its ability to transform complex, manual Windows workflows into automated processes using AI-driven agents. It reduces reliance on brittle UI-only automation by integrating native Windows APIs (UIA, Win32, WinCOM) with vision-based control detection. The platform emphasizes reliability through speculative execution validation and continuous learning via retrieval-augmented generation (RAG).

Main Features

1. UFO² employs hybrid GUI+API control to interact with both standard and custom Windows UI elements through UIAutomation, OCR, and native API calls. This dual approach ensures compatibility with applications lacking automation-friendly interfaces while prioritizing direct API access for speed and reliability. The system automatically falls back to simulated clicks/keystrokes when APIs are unavailable.
2. Speculative multi-action execution bundles predicted workflow steps into single LLM calls, validated against live system states to reduce latency by up to 51%. This feature uses real-time UIA tree analysis to verify action feasibility before execution, minimizing errors in dynamic environments like web applications or document editors.
3. The RAG-enhanced knowledge substrate integrates offline documentation, Bing search results, user demonstrations, and historical execution traces. This multimodal knowledge base enables context-aware decision-making for tasks requiring up-to-date information, such as filling tax forms using current regulations or troubleshooting software errors.

Problems Solved

1. UFO² addresses the inefficiency of manual multi-app workflows requiring repetitive GUI interactions, such as data entry across Excel and web portals or report generation in Word and PowerPoint. Traditional automation tools struggle with non-API applications and require constant maintenance for UI changes.
2. The product targets enterprise IT teams automating business processes and developers building Windows-centric automation solutions. It also serves power users needing to streamline personal productivity workflows involving Office 365, Edge, and system utilities.
3. Typical use cases include migrating data between legacy and modern ERP systems, generating monthly financial reports from SAP to Excel/PDF, and configuring development environments in VS Code via voice commands.

Unique Advantages

1. Unlike UI-focused automation tools like UiPath or AutoHotkey, UFO² combines low-level Windows API access with computer vision, enabling reliable control of both modern UIA-compliant apps and legacy Win32 software. This hybrid approach eliminates the "brittle automation" problem caused by UI layout changes.
2. The multi-agent framework allows concurrent AppAgents to manage different applications while HostAgent coordinates cross-app workflows. This architecture supports complex tasks like "Extract sales figures from Edge, analyze in Excel, then email via Outlook" through decentralized execution.
3. Competitive advantages include native integration with Windows security protocols, sandboxed execution that preserves user workspace integrity, and MIT-licensed open-source codebase that supports customization for enterprise environments. The system's ability to learn from user demonstrations reduces setup time for organization-specific workflows.

Frequently Asked Questions (FAQ)

1. What Windows versions does UFO² support? UFO² requires Windows 10 or later with UIAutomation enabled and supports both x64 and ARM architectures. The sandboxed execution environment works on physical machines and Azure Virtual Desktop instances.
2. Can UFO² interact with custom enterprise applications? Yes, through its hybrid control detection system that combines UIA tree parsing with visual recognition. Developers can extend functionality using Python hooks for proprietary APIs or UI elements.
3. How does the RAG system stay updated? The knowledge substrate automatically ingests new user demonstrations, updated help documents, and Bing search results. Administrators can configure refresh intervals or trigger manual updates via the HostAgent API.
4. Is internet connectivity required? While offline operation is possible using cached knowledge, full functionality requires internet access for LLM queries, Bing search integration, and cloud-based model updates.
5. How do I contribute to the project? Developers can submit pull requests via GitHub, with guidelines provided in CONTRIBUTING.md. Microsoft maintains code review standards and requires signed Contributor License Agreements (CLAs) for major contributions.