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    • A
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      A lightweight bridge enabling AI agents to perform real-world tasks on Android devices such as app navigation, UI interaction, and automated QA testing without requiring computer-vision pipelines or preprogrammed scripts.
      14
      915
      MIT
    • A
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      Enables AI agents to see and drive a real Android phone over plain ADB: screenshots and numbered UI trees, gestures, typing with accents and emoji, SMS/RCS reading and prepared replies, notifications, files, and settings, with no root and no app installed on the phone. Safeguards mask security codes and require explicit confirmation before sending, paying, deleting or confirming anything.
      18
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      MIT
    • A
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      Drives Android phones and emulators over adb through a small on-device agent: reads the screen in ~50 ms, taps, types and scrolls in batched steps, and saves screenshots as files. Flows recorded once can be replayed from the CLI without a model.
      62 npm
      MIT
    • A
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      Enables AI agents to operate a real Android phone through its accessibility service, exposing screen trees with stable refs, taps, typing, gestures, notifications, apps, and other device controls.
      4
      MIT
    • A
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      Lets AI agents see and use a real Android phone over Wi-Fi: read the screen, find elements by text or ID, tap, type, swipe, take screenshots and read notifications, without ADB or root.
      458
      MIT
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      Enables AI agents to see and control Android devices, with fast input, screenshots, UI element discovery, app and file management, shell access, and audio/video streaming or recording.
      365 npm
      MIT

    TDQS

    B3.1/5.0

    Scored across 57 tools

    Disambiguation2/5

    Multiple clusters of near-duplicate tools exist: tap_element / act / element_action / batch_ui_actions all perform interactions; ui_snapshot / get_ui_tree / ui_describe / ui_query / find_elements / inspect_view_hierarchy all read the screen; shell_execute / root_shell / adb_command / shell_batch all run commands; shared_preferences / sqlite_database / inspect_app_data / content_provider all read app data. The surface is effectively two overlapping generations of API (v1 'classic' tools plus a 'v2' agent toolkit announced by tool_catalog), so an agent must guess which of several plausible tools to use.

    Naming Consistency3/5

    Most names are snake_case, but the conventions vary widely: verb_noun (get_ui_tree, run_workflow, send_intent), noun_verb (device_control, app_action, device_files, record_screen), bare verbs (act, learn), and noun-only names (tool_catalog, saved_workflow, adb_command). Individually readable, but there is no predictable pattern an agent can rely on to infer a tool's name.

    Tool Count2/5

    57 tools is far past the 3-15 sweet spot, and much of the bulk is duplicated capability across v1 and v2 layers rather than genuinely distinct functionality. The Android-automation domain is broad enough to justify a large surface, but the overlap makes the set feel accumulated rather than curated.

    Completeness5/5

    Coverage is unusually thorough: UI perception and interaction, gestures, forms, workflows with persistence and cancellation, root and non-root shell, background jobs, file management and transfer, app lifecycle/permissions/APK export, intents, WebView control, screen recording, pixel regression, logcat triage, and LSPosed/KernelSU debugging. Almost every lifecycle stage has an entry point, with no obvious dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessSyncing