A Microsoft-developed digital automation framework featuring multi-device orchestration capabilities, enabling cross-platform automation tasks through LLM integration, ideal for enterprise automation and intelligent assistant scenarios.
One-Minute Overview#
UFO³ is Microsoft's next-generation digital automation framework that enables AI agents to collaborate across multiple devices, executing complex automation tasks. It's designed for developers and organizations needing cross-platform automation, intelligent assistant systems, or LLM-powered workflows. With UFO³, you can easily build intelligent automation systems capable of operating multiple devices simultaneously, significantly enhancing productivity.
Core Value: Achieves cross-device automation through AI agent orchestration, lowering the development barrier for complex automation systems.
Quick Start#
Installation Difficulty: Medium - Requires configuration files for agents and devices, depends on LLM services
# Installation steps
pip install -r requirements.txt
# Requires editing configuration files for agents and devices
Is this suitable for me?
- ✅ Enterprise cross-platform automation: Create workflows that span Windows desktop applications, web services, and cloud platforms
- ✅ Intelligent assistant development: Build AI assistants that understand natural language and execute tasks across multiple devices
- ❌ Simple scripting automation: May be overly complex for small-scale automation tasks on a single device
- ❌ No LLM service environment: Requires access to LLM APIs (OpenAI, Azure OpenAI, Qwen, etc.)
Core Capabilities#
1. Multi-Device Orchestration - Seamlessly Connect Devices#
- UFO³ Galaxy framework supports cross-device orchestration, enabling AI agents to operate multiple devices simultaneously Actual Value: Breaks down device silos to create end-to-end automation workflows, improving cross-task processing efficiency
2. Desktop AgentOS - Deep Operating System Integration#
- UFO² provides a desktop agent operating system with deep integration to Windows systems Actual Value: Achieves precise and reliable automation without complex configuration through efficient OS interaction
3. Multi-LLM Support - Flexible AI Model Selection#
- Supports multiple LLM services including OpenAI, Azure OpenAI, Qwen, Gemini, and Claude Actual Value: Choose the most suitable AI model based on requirements, cost, and availability without being locked to a single vendor
4. Natural Language Understanding - Simplified Interaction#
- Control automation tasks through natural language instructions Actual Value: Lowers the barrier to entry, enabling non-technical users to create and execute complex automation workflows
5. Enterprise Architecture - Scaled for Large Deployment#
- Designed with enterprise scenarios in mind, supporting large-scale deployment and management Actual Value: Can be organization-wide for standardized automation solutions, improving overall operational efficiency
Technology Stack & Integration#
Development Languages: Python (94.6%), TypeScript (4.9%), Other (0.5%) Key Dependencies: LLM providers (OpenAI, Azure OpenAI, Qwen, Gemini, Claude) Integration Method: SDK/Library
Maintenance Status#
- Development Activity: Very active, with UFO³ in active development and UFO² receiving long-term support
- Recent Updates: Recent UFO3 release (November 9, 2025), with multiple code commits per week
- Community Response: Active, with 38 open issues and 9 PRs, active community discussions
Commercial & Licensing#
License: MIT
- ✅ Commercial Use: Allowed
- ✅ Modifications: Allowed
- ⚠️ Restrictions: Attribution required
Documentation & Learning Resources#
- Documentation Quality: Comprehensive (Full Docs, Quick Start, Configuration, Online API Docs)
- Official Documentation: https://microsoft.github.io/UFO/
- Example Code: Available (Quick Start code examples)