Update README.md
Browse files# Mobile World: Benchmarking Autonomous Mobile Agents in Agent-User Interactive, and MCP-Augmented Environments
Mobile World is a substantially more challenging mobile-use benchmark designed to better reflect real-world mobile usage. It comprises 201 tasks across 20 applications, featuring long-horizon, cross-app tasks, and novel task categories including agent-user interaction and MCP-augmented tasks.
The difficulty of Mobile World is twofold:
- Long-horizon, cross-application tasks. Mobile World tasks require on average 27.8 completion steps, nearly twice as many as 14.3 steps required in AndroidWorld. Moreover, 62.2% of tasks involve cross-application workflows compared to only 9.5% in AndroidWorld.
- Novel task categories. Mobile World extends beyond standard GUI manipulation by introducing (1) agent-user interaction tasks (22.4%) that evaluate an agent's ability to handle ambiguous instructions through collaborative dialogue, and (2) MCP-augmented tasks (19.9%) that require hybrid-usage of GUI navigation and external tool invocations via the Model Context Protocol.
The system architecture of Mobile World consists of two main components. Left: the host machine is where GUI agents receive task instructions and optionally interact with users for clarification, then choose between GUI actions or MCP tool calls to complete tasks. Right: the docker environment contains an isolated Android ecosystem with emulators, self-hosted app backends, and an evaluator that verifies task completion through text matching, backend database, local storage, and app callbacks.
Github: https://github.com/Tongyi-MAI/MobileWorld
Porject Page: https://tongyi-mai.github.io/MobileWorld/
arxiv: https://arxiv.org/abs/2512.19432
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license: apache-2.0
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license: apache-2.0
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# MobileWorld: Benchmarking Autonomous Mobile Agents in Agent-User Interactive and MCP-Augmented Environments
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Mobile World is a substantially more challenging mobile-use benchmark designed to better reflect real-world mobile usage. It comprises 201 tasks across 20 applications, featuring long-horizon, cross-app tasks, and novel task categories including agent-user interaction and MCP-augmented tasks.
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The difficulty of Mobile World is twofold:
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Long-horizon, cross-application tasks. Mobile World tasks require on average 27.8 completion steps, nearly twice as many as 14.3 steps required in AndroidWorld. Moreover, 62.2% of tasks involve cross-application workflows compared to only 9.5% in AndroidWorld.
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Novel task categories. Mobile World extends beyond standard GUI manipulation by introducing (1) agent-user interaction tasks (22.4%) that evaluate an agent's ability to handle ambiguous instructions through collaborative dialogue, and (2) MCP-augmented tasks (19.9%) that require hybrid-usage of GUI navigation and external tool invocations via the Model Context Protocol.
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![Uploading image.png…]()
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In this dataset, we provide an overview of all task goals in our benchmark.
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- Github：https://github.com/Tongyi-MAI/MobileWorld
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- Project Page：https://tongyi-mai.github.io/MobileWorld/
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- arxiv：https://arxiv.org/abs/2512.19432
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