Mobile-Agent-v3: Fundamental Agents for GUI Automation
On the map: LLM agents and tool use → GUI and mobile agents
Abstract (arXiv)
This paper introduces GUI-Owl, a foundational GUI agent model that achieves state-of-the-art performance among open-source end-to-end models on ten GUI benchmarks across desktop and mobile environments, covering grounding, question answering, planning, decision-making, and procedural knowledge. GUI-Owl-7B achieves 66.4 on AndroidWorld and 29.4 on OSWorld. Building on this, we propose Mobile-Agent-v3, a general-purpose GUI agent framework that further improves performance to 73.3 on AndroidWorld and 37.7 on OSWorld, setting a new state-of-the-art for open-source GUI agent frameworks. GUI-Owl incorporates three key innovations: (1) Large-scale Environment Infrastructure: a cloud-based virtual environment spanning Android, Ubuntu, macOS, and Windows, enabling our Self-Evolving GUI Trajectory Production framework. This generates high-quality interaction data via automated query generation and correctness validation, leveraging GUI-Owl to refine trajectories iteratively, forming a self-improving loop. It supports diverse data pipelines and reduces manual annotation. (2) Diverse Foundational Agent Capabilities: by integrating UI grounding, planning, action semantics, and reasoning patterns, GUI-Owl supports end-to-end decision-making and can act as a modular component in multi-agent systems. (3) Scalable Environment RL: we develop a scalable reinforcement learning framework with fully asynchronous training for real-world alignment. We also introduce Trajectory-aware Relative Policy Optimization (TRPO) for online RL, achieving 34.9 on OSWorld. GUI-Owl and Mobile-Agent-v3 are open-sourced at https://github.com/X-PLUG/MobileAgent.
Key facts. Cited by 190 papers in the map (data through 14 Oct 2026). Placed in GUI and mobile agents, one of 16 directions in LLM agents and tool use. Builds on 44 of its 54 references that are in the map. First posted on arXiv 21 Aug 2025.
Builds on
44 of 54 references.
Closest ancestors · 26
Same direction, newest first
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- 2025Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning18 May
- 2025InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners19 Apr
- 2025GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents14 Apr
- 2025Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents1 Apr
- 2025UI-TARS: Pioneering Automated GUI Interaction with Native Agents21 Jan
- 2025Mobile-Agent-E: Self-Evolving Mobile Assistant for Complex Tasks20 Jan
- 2024OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis27 Dec
- 2024GUI Agents: A Survey18 Dec
14 more
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- 2024Agent S: An Open Agentic Framework that Uses Computers Like a Human10 Oct
- 2024Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents7 Oct
- 2024AppAgent v2: Advanced Agent for Flexible Mobile Interactions5 Aug
- 2024MobileFlow: A Multimodal LLM For Mobile GUI Agent5 Jul
- 2024Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration3 Jun
- 2024OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments11 Apr
- 2024OS-Copilot: Towards Generalist Computer Agents with Self-Improvement12 Feb
- 2024ScreenAgent: A Vision Language Model-driven Computer Control Agent9 Feb
- 2024SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents17 Jan
- 2023AppAgent: Multimodal Agents as Smartphone Users21 Dec
Other references · 18
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- 2024GPT-4V(ision) is a Generalist Web Agent, if Groundedcited by 563
- 2024Aguvis: Unified Pure Vision Agents for Autonomous GUI Interactioncited by 278
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- 2024UFO: A UI-Focused Agent for Windows OS Interactioncited by 148
- 2024Cradle: Empowering Foundation Agents Towards General Computer Controlcited by 117
- 2025GTA1: GUI Test-time Scaling Agentcited by 106
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- 2025GUI-G2: Gaussian Reward Modeling for GUI Groundingcited by 63
- 2024Large Language Models Can Self-Improve At Web Agent Taskscited by 55
- 2025CoAct-1: Computer-using Multi-Agent System with Coding Actionscited by 35
- 2025OmniParser V2: Structured-Points-of-Thought for Unified Visual Text Parsing and Its Generality to Multimodal Large Language Modelscited by 23
- 2024Generalist Virtual Agents: A Survey on Autonomous Agents Across Digital Platformscited by 13
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Citing papers per year: 2025: 44; 2026: 146.
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