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DroidClaw

unitedbyai/droidclaw

healthy GitHub

DroidClaw brings the autonomous agent philosophy to Android devices, using accessibility trees and ADB to give LLMs direct control over your phone. It's OpenClaw's mobile cousin that doesn't need APIs — it just uses apps like a human would.

Decision Block

Why choose DroidClaw over OpenClaw?

Quick recommendation layer first, deeper analysis second. Use this before diving into metrics and architecture details.

Recommendation Layer
Compare with OpenClaw
Why choose this
  • Keeps more of the workflow local, reducing cloud dependency and data exposure.
Tradeoffs
  • Still less proven than OpenClaw in maturity, docs depth, or production mileage.
  • Still needs careful sandboxing and guardrails before trusted production use.
Best fit
  • Security-sensitive self-hosters
Avoid if
  • You only want battle-tested projects with a long public track record
  • You cannot tolerate elevated execution risk without extra hardening
Confidence / Evidence
Mixed Evidence 35%
Freshly Reviewed
Quick Refresh

Limited evidence available. Use the primary sources before making a production decision.

AI decision layer last reviewed Apr 20, 2026. Helpful, but still inference-heavy enough to double-check primary sources.

Last generated Mar 13, 2026
Last reviewed Apr 20, 2026
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Source window: GitHub metadata, README, recent commits, latest release, Reddit, Brave search

Measured Security
72
Measured Memory
75 MB
GitHub Stars
1,393
Boot Time
150 ms
Memory
75 MB
Language
TypeScript

Community Pulse

78% Positive
0 Reddit Mentions

Security Radar

Security radar summary for DroidClaw.

  • DroidClaw: Sandboxing 4 of 10, API Security 6 of 10, Network Isolation 5 of 10, Telemetry Safety 6 of 10, Shell Protection 2 of 10.

Evaluation Scale: 10 = Maximum Safety / 1 = High Risk

Star Growth (2026)

Star history summary.

  • droidclaw: 104 recorded points. From 504 stars on 2026-01-01 to 1,393 on 2026-04-21.

ClawVerse News

Latest articles and global buzz

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Trending Mentions

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Last Scan: 4/21/2026, 12:44:39 AM
#android #accessibility #mobile-automation #llm-agent #device-control

DroidClaw is an AI agent that autonomously controls Android phones through a clever combination of accessibility services and ADB (Android Debug Bridge). Unlike traditional automation tools that require predefined flows or API integrations, DroidClaw uses an LLM "brain" to perceive screens, reason about what actions to take, and execute taps, swipes, and typing in real-time. The architecture follows a perception → reasoning → action loop that dumps the accessibility tree, parses it into interactive UI elements, and diffs against previous screens to detect changes.

What makes DroidClaw unique is its ability to use apps as a human would — it can delegate requests to ChatGPT, Gemini, or Google Search by actually opening and operating those apps, eliminating the need for API keys. The project includes a TypeScript server with QStash integration for scheduled goals, a web dashboard for remote management, and an Android APK that runs the on-device agent. Recent commits show active development around failure recovery, session management, and multi-device support.

Compared to OpenClaw, DroidClaw is specifically designed for mobile device control rather than general-purpose desktop automation. While OpenClaw operates across operating systems with a plugin skill system, DroidClaw focuses exclusively on Android and uses accessibility trees instead of desktop UI frameworks. The security model is inherently different — DroidClaw requires full ADB access and accessibility permissions, making it powerful but requiring careful trust boundaries.

Live Data Partner OpenClaw Seismograph
Threat Level calm