Mobile-Agent vs iEasyRun: Open Framework or Ready Phone Agent?

Last week someone asked whether Mobile-Agent or iEasyRun is more advanced. There is no single answer. If the question is whether the work can run steadily next week, it is usually the workstation.

One is a framework, the other is a workstation you install and use

Mobile-Agent is an open-source agent framework on a research track. It is about how perception, planning, and execution connect.

iEasyRun is a local phone-automation workstation. Install, devices, tasks, workflows, and MCP are in the product.

Dimension	Mobile-Agent	iEasyRun
What it is	An agent framework / a research asset	A workstation you can install
Getting started	Read the docs, set up the environment, get a device talking	Follow the install guide
Who it is for	Algorithm and engineering research, and further development	Operators, studios, and systems integration
Platforms	Research work is often Android-heavy	Android / iOS / HarmonyOS
Multi-device and audit	You build it	Multi-device and task records are in the product
AI assistant setup	You connect the model and the tools yourself	MCP exposes this machine’s capabilities
What counts as success	A demo, a metric, reproducing a paper	The day’s tasks finish, and a failure can be traced

Mobile-Agent is for taking the phone-agent problem apart so the community can keep changing it. It is also for trying a new planner, a vision policy, or tool calling. A team with two or three engineers can use it for experiments. After an experiment works, install, multi-device, and task records still have to be added before it is a system that runs the business every day.

The workstation handles a different set of jobs

People who are not on the algorithm side can dispatch tasks.

Connecting a real phone, permissions, and execution feedback follow a fixed path.

Repeat steps, such as short video, are stored as workflows.

When you need it, Claude or WorkBuddy can drive the phones through MCP.

Ask three questions before you choose:

1. Is success “the paper or the demo runs,” or “twenty phones finish publishing every day”?
2. Is there someone on the team who can maintain the open-source runtime full time?
3. Do you have to cover iOS and HarmonyOS, or only Android lab phones?

If you care more about finishing the day’s work, about having few people maintain the runtime, and about covering iOS and HarmonyOS, choose iEasyRun. If you care more about getting a paper or a demo running, someone can change the runtime, and the experiments are mainly on Android, choose Mobile-Agent.

For a side-by-side look at AutoGLM and DroidRun, see how to choose an open-source phone AI agent.