Agents
OpenGUI
Android GUI agent framework: AI that sees, plans, and taps real mobile apps.
★ 1.8k starsCustom
View guide →AI agents that use real Android and iOS apps like a human — from minitap.
mobile-use is an open-source ai agents project by minitap-ai (minitap-ai/mobile-use on GitHub). It has 3,234 GitHub stars and 295 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 14 September 2026.
Decide the first concrete outcome you want from it, so you can pick the right example, template or mode instead of exploring everything at once.
Clone the repository (or install the published package) and skim its README quick start for the requirements for your platform.
Run the documented install step and set any required configuration — such as provider keys, data sources or local services — before the first run.
Execute the smallest documented example end to end, confirm the output is what you expected, then adapt it to your real data or workflow.
Physical Android phones over USB, Android emulators, and iOS simulators on macOS.
Describe the task in plain language; the agent plans and acts on the live UI.
A containerised launch path, with troubleshooting docs for device-IP and image-pull issues.
uv venv + uv sync gives a locked, reproducible local setup.
The README reports benchmark results for the agent's mobile task performance.
An agentic system overview in the README explains the perception/action loop.
Get the source so you can inspect, configure and run it locally.
git clone https://github.com/minitap-ai/mobile-use.git
cd mobile-useClone, create the uv environment from the project's Python version, activate it and sync locked dependencies.
git clone https://github.com/minitap-ai/mobile-use.git && cd mobile-use
uv venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
uv syncConnect a device (ADB for Android, fb-idb for iOS) and give the agent a goal.
python ./minitap/mobile_use/main.py "Go to settings and tell me my current battery level"It is maintained by minitap-ai on GitHub (minitap-ai/mobile-use), where the source, issues and releases live.
Yes — it is free and open source under Apache-2.0, which permits use, modification and commercial redistribution, with licence/notice retention.
Yes — the agent reasons with an LLM, so you configure a provider key as the README describes; devices themselves are your own hardware/emulators.
Compared with Appium scripts or desktop browser-use agents, mobile-use's distinguishing focus is: aI agents that use real Android and iOS apps like a human — from minitap. Pick it when that focus matches your need; the alternative may suit you better if its broader or different scope is the priority.
Clone https://github.com/minitap-ai/mobile-use (or install its published package), follow the README quick start to install and configure it, then run the smallest documented example — the Run section on this page mirrors those steps.
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