AndyClaw
EthereumPhone/AndyClaw
A privacy-focused Android AI assistant that runs locally with Qwen2.5-1.5B and unlocks god-mode device control on ethOS devices. It's the rebellious cousin of OpenClaw — mobile-first, crypto-native, and unapologetically autonomous with its heartbeat background execution.
Why choose AndyClaw over OpenClaw?
Quick recommendation layer first, deeper analysis second. Use this before diving into metrics and architecture details.
- Keeps more of the workflow local, reducing cloud dependency and data exposure.
- Still less proven than OpenClaw in maturity, docs depth, or production mileage.
- Still needs careful sandboxing and guardrails before trusted production use.
- Security-sensitive self-hosters
- You only want battle-tested projects with a long public track record
- You cannot tolerate elevated execution risk without extra hardening
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.
Source window: GitHub metadata, README, recent commits, latest release, Reddit, Brave search
Community Pulse
Security Radar
How it's evaluated
Isolation from host OS. 10 = Fully virtualized (Docker/Wasm); 1 = Direct local execution.
Safety of external connections. 10 = End-to-end encrypted/Scoped; 1 = Plaintext/Broad access.
Traffic control. 10 = Air-gapped/Offline-first; 1 = Unrestricted internet access.
Privacy level. 10 = Zero telemetry/Zero tracking; 1 = Extensive logging/reporting.
Command safety. 10 = No unsupervised shell; 1 = Raw, unmonitored shell access.
Security radar summary for AndyClaw.
- AndyClaw: Sandboxing 4 of 10, API Security 6 of 10, Network Isolation 5 of 10, Telemetry Safety 7 of 10, Shell Protection 1 of 10.
Evaluation Scale: 10 = Maximum Safety / 1 = High Risk
Star Growth (2026)
Star history summary.
- AndyClaw: 104 recorded points. From 1 stars on 2026-01-01 to 79 on 2026-04-21.
ClawVerse News
Latest articles and global buzz
Trending Mentions
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AndyClaw 'Amaze! Amaze! Amaze!' 🪨💎🦠🪸🐚🧲🌡️♨️ - I Drew an Eridian Anatomy Diagram Based on Andy Weir's Notes
r/projecthailmary Mar 25 -
AndyClaw Anatomy of an Eridian [By: Christopher Stoll] [Media: Project Hail Mary]
r/speculativeevolution Mar 25 -
AndyClaw 49 inch - QD OLED - 240hz - Philips Evnia 8000 upgrade
r/ultrawidemasterrace Mar 30 -
AndyClaw I ordered a Bee Pioneer today and plan on building this.
r/bee_computer Mar 28
Technical Showdowns
AndyClaw is an open-source AI assistant built specifically for Android devices, offering a unique dual-mode architecture that adapts based on the host operating system. On stock Android, it operates in "open mode" with local inference via Qwen2.5-1.5B or cloud APIs like OpenRouter, providing standard assistant capabilities like SMS management, camera capture, file operations, and shell commands. However, when running on ethOS (the Ethereum Phone operating system), it unlocks "privileged mode" with deep system integration including full wallet control across multiple EVM chains, XMTP messaging, phone call management, and OS-level heartbeat execution without foreground services.
The project differentiates itself from OpenClaw through its mobile-first design and crypto-native features. While OpenClaw focuses on cross-platform deployment with a skill-based plugin system, AndyClaw emphasizes on-device autonomy with its heartbeat mechanism that allows the AI to operate periodically in the background. The inclusion of an autonomous sub-account wallet for micro-payments and DeFi operations represents a novel approach to AI agent financial independence. Security measures include prompt injection protection for web search, tool approval requests via Telegram when not in YOLO mode, and ClawHub skill risk evaluation before installation.
Architecturally, AndyClaw implements an agentic tool-use loop capable of chaining up to 20 tool iterations per request, enabling complex multi-step operations. The ClawHub skills system mirrors OpenClaw's plugin architecture but is tailored for mobile contexts. Recent commits show active development around skill inspection, API throttling, and security hardening, indicating a maturing codebase focused on user safety in an environment where the AI has significant device control privileges.