Mobile-Agent vs iDeviceFarm: Framework or Ready Workstation?

Framework vs Workstation

Comparing them as “the same kind of app” is misleading. More precisely:

• Mobile-Agent: an open Agent framework / research line—how perception, planning, and action form a loop.
• iDeviceFarm: a local mobile-automation AI workstation that packages install, devices, tasks, workflows, and MCP.

“Which is more advanced?” has no single answer. “Can we stably serve work next week?” usually points to the workstation.

Comparison Table

Dimension	Mobile-Agent	iDeviceFarm
Nature	Agent framework / research asset	Installable workstation product
Setup	Docs, env, device bring-up	Guided install
Primary users	Algo / eng research, forks	Operators, studios, IT integration
Platforms	Research practice often Android-centric	Android / iOS / HarmonyOS
Multi-device & audit	Build yourself	Product multi-device + task logs
AI assistant ecosystem	Wire models/tools yourself	MCP exposes local phone skills
Success metric	Demos, metrics, paper reproduction	Daily jobs finish; failures are traceable

What Mobile-Agent Does Well

• Clarifies the “phone Agent” problem for community iteration;
• Good for testing new planners, vision policies, tool use;
• A strong sandbox for teams with engineering capacity.

That value is not the same as a business production system.

The Problem iDeviceFarm Solves

• Let non-ML teammates dispatch work;
• Fix device connect, permissions, and execution feedback into a path;
• Capture repeat jobs (e.g. short video) as workflows;
• Optionally let Claude / WorkBuddy drive phones via MCP.

Decision Checklist

Ask three questions:

1. Is success “paper/Demo” or “N phones publish every day”?
2. Do you have someone to own the open-source runtime full-time?
3. Do you need iOS / HarmonyOS—not only Android lab devices?

Lean delivery, low ops, multi-platform → iDeviceFarm.
Lean research and deep customization → Mobile-Agent.

Also comparing AutoGLM and DroidRun: open phone AI Agent overview.