What is the difference between UFO² and UFO³ Galaxy?

UFO² is a stable desktop agent operating system for single Windows automation, while UFO³ Galaxy is a new multi-device orchestration framework that coordinates intelligent agents across various platforms, including Windows, Linux, and Android. UFO² can serve as a device agent within the UFO³ Galaxy framework.

What kind of tasks can UFO³ Galaxy orchestrate?

UFO³ Galaxy can orchestrate complex workflows involving cross-device collaboration, multi-step automation, and integration across heterogeneous platforms. It decomposes tasks into executable DAGs (Directed Acyclic Graphs) and dynamically adapts to execution feedback for efficient task completion.

Does UFO support different LLM providers?

Yes, UFO supports various LLM providers. The configuration guides show examples for OpenAI and Azure OpenAI, and the documentation mentions support for Qwen, Gemini, and Claude, indicating flexibility in integrating different large language models.

UFO

UFO is an AI Agents & Automation tool that enables multi-device orchestration for intelligent agents. It allows for cross-device collaboration and complex multi-step automation across various platforms.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Advanced

About

What is UFO?

UFO³ (Unified Framework for Orchestration) is a powerful open-source framework developed by Microsoft, designed for weaving digital agent galaxies. It facilitates the creation and orchestration of intelligent agents across multiple devices and heterogeneous platforms. The framework introduces Galaxy, a multi-device orchestration system built on principles like declarative decomposition into dynamic DAGs, continuous result-driven graph evolution, and heterogeneous, asynchronous, and safe orchestration. It utilizes a Unified Agent Interaction Protocol (AIP) for secure communication and offers template-driven MCP-empowered device agents for rapid development. UFO³ supports complex multi-step automation, cross-device collaboration, and DAG-based task orchestration, making it suitable for advanced AI agent development and deployment.

Best used for

Ideal for developers and data scientists who need to orchestrate complex workflows across multiple devices, automate multi-step tasks, and integrate heterogeneous platforms. Especially valuable for building advanced AI agent systems that require dynamic adaptation and secure communication.

Capabilities

Key features

Multi-device orchestration
Dynamic DAG editing
Asynchronous execution
Unified AIP protocol
Template-driven agents
Deep OS integration
Hybrid GUI + API actions

Audience

developer data scientist developers enterprise b2b

Integrations

Not yet documented

FAQs

Common questions

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Subcategories trending in AI Agents & Automation

Chatbots & Conversational AI General-Purpose Agents Workflow Agents Personal Assistants RAG & Document AI Voice Agents

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Coding & Development › Open Source & Models

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