io.github.Aelindra/mobile-agent-harness

Official registry AI and agents

Android device automation for AI agents: MCP server, CLI, and plugin runtime over adb.

Install

The installation steps are in the documentation below. Documentation

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. mobile-agent-harness
  2. Install
  3. Quick start
  4. Tools
  5. Selectors
  6. Harnesses and plugins
  7. Configuration
  8. How it compares
  9. Known limitations
  10. Contributing
  11. License

mobile-agent-harness

Android device automation for AI agents. MCP server, CLI, and a hot-reloadable plugin runtime on top of a self-healing uiautomator2 bridge. No device-side app required.

中文文档:README.zh-CN.md

This is the base runtime only. Plugins live in the community catalog: awesome-mobile-agent-harness-plugin. App business knowledge for AI lives in app-lore, which this repo's knowledge/ loader reads directly.

Install

git clone https://github.com/Aelindra/mobile-agent-harness
cd mobile-agent-harness
pip install -e .          # add ".[ocr]" for vision.ocr / ui2.*

Requires Python 3.9+ and adb on PATH with USB debugging enabled.

Quick start

  1. Point the bridge at your device:
export AGENT_SERIAL_DEFAULT=192.168.1.23:5555   # or "emulator-5555"
  1. List the tool surface (works without a device) and run the offline tests:
python -m core.cli tools
python tests/test_runtime.py
  1. Call a tool:
python -m core.cli call ui.snapshot
python -m core.cli call ui.click --args '{"selector":"text@^Network & internet$","pkg":"com.android.settings"}'
  1. Attach to any MCP client:
{
  "mcpServers": {
    "phone": {
      "command": "python",
      "args": ["-m", "core.cli", "mcp"],
      "cwd": "/path/to/mobile-agent-harness",
      "env": { "AGENT_SERIAL_DEFAULT": "192.168.1.23:5555" }
    }
  }
}

All tools return a {"ok": bool, "error"?, ...} envelope. ok=false is a business result (e.g. error_type=selector_not_found) — adapt instead of retrying.

Tools

GroupTools
Observationui.snapshot ui.dump ui.find ui2.state ui2.screen_evidence ui2.timeline ui2.find_templates vision.screenshot vision.ocr vision.diff
Actionui.click ui.click_handle ui.text_handle ui.hold_read ui.set_text ui.scroll ui.back ui.home input.tap input.swipe input.key
Appapp.launch app.current app.probe app.list app.stop app.wait_idle
Shell & datashell.run state.prefs state.db file.push file.pull net.http
Eventsevents.tail events.wait events.capture events.record_start events.record_stop
Knowledge & tasksknowledge.list knowledge.guide ui2.check_states ui2.orient task.begin task.note task.end template.add sys.capabilities

ui.snapshot returns a compact accessibility-tree listing with element handles (e0, e1, ...); ui.click_handle acts on a handle with drift detection. ui2.state fuses the accessibility tree with OCR for canvas-drawn UIs. ui2.screen_evidence collects measurable screen features (overlay level, motion, color, layout density) without interpreting them. app.probe returns deterministic side signals (package, version, orientation); ui2.timeline captures N frames of lightweight evidence in time order; ui2.orient probes context, routes to matching knowledge packs, and evaluates their state discriminators — returning matched states or ranked hypotheses with the missing evidence listed.

Selectors

Selectors resolve against the live accessibility tree. Coordinates are not used.

# ui.click selector examples
"id@d98 && pkg@com.example.app"       # resource-id, short form completed with pkg@
"text@^Settings$ && pkg@com.example.app"
"class@android.widget.EditText && [clickable=true]"
"desc@^Search$"                        # content-desc regex

Harnesses and plugins

A harness file declares per-app flows as selector steps with pre/postconditions; distill drafts one by exploring an app, lint checks selector quality, and failed postconditions mark tools stale for re-distillation. See harnesses/com.android.settings/harness.json5 for the built-in example.

Plugins drop into plugins/ and register tools or capability providers at load time; registrations are reversible and hot-reloaded on file change. See the Plugin development guide in README.zh-CN.md and knowledge/README.md for the knowledge-pack format.

For business context on apps where model priors are unreliable, point agents at app-lore — a community catalog of structural app surveys in the open Agent Skills format, split per feature module for complex apps. Mobile scenarios in particular are private-domain and underrepresented in training data, so agents benefit from loading the relevant survey before operating an unfamiliar app. The local knowledge/ directory remains this repo's runtime layer (packs, icon templates, state discriminators).

Configuration

VariableDescriptionExample
AGENT_SERIAL_DEFAULTDevice serial used when --serial/ANDROID_SERIAL absent192.168.1.23:5555
AGENT_SERIAL_USBUSB serial fallback0123456789abcdef
MAH_FRAME_STREAM1 enables the H.264 frame stream for observation tools1
MAH_VISION_MODEVision enhancement: off / client / endpointclient
MAH_VLM_URL / MAH_VLM_MODELExternal vision endpoint (OpenAI-compatible)http://127.0.0.1:11434/v1/chat/completions

How it compares

  • vs mobile-mcp / agent-device: they are generic device toolsets; this project adds the layer above transport — per-app knowledge as files (harnesses), a hot-reloadable plugin runtime with capability seams, and an explicit adb/root privilege model.
  • vs droidrun: droidrun requires a device-side accessibility app; this project is zero-install over adb.
  • Root support is declarative: if the device already has su, the shell seam gains a root provider gated by a command allowlist. This project does not provide root.

Known limitations

Messaging, banking, and e-commerce apps run active anti-automation risk control; the adb tier is unreliable on them. Target use is development, testing, and your own device workflows.

Contributing

Plugins are contributed to awesome-mobile-agent-harness-plugin; app business knowledge to app-lore — see their contributing guides.

License

MIT.

Frequently asked questions

What is io.github.Aelindra/mobile-agent-harness?

Android device automation for AI agents: MCP server, CLI, and plugin runtime over adb.

How do I install io.github.Aelindra/mobile-agent-harness?

Follow the installation steps in its documentation, shown on this page and in its repository.

Is io.github.Aelindra/mobile-agent-harness open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains io.github.Aelindra/mobile-agent-harness?

It is published by Aelindra. AI.tn lists it but does not maintain or endorse it.

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