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physiclaw
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physiclaw/PhysiClaw

The AI agent that physically operates a phone — the way you do.

Python ◇ agentic-ai MIT
★377STARS
⑂38FORKS
!0ISSUES
🏆#4,065GLOBAL RANK
🔥5DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for physiclaw/PhysiClaw
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#482

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

PhysiClaw gained 10 stars in the last 30 days, about 1 a day, and now has 377. It is about 1 year old and has averaged roughly 377 stars a year. It ranks #482 among Python repositories and #4,065 across all languages on GitHubRepo.

Trending Record

PhysiClaw has maintained a continuous presence across global trending indexes, peaking at #1641. Below is the 30-day activity profile:

💡 Overview

PhysiClaw is an open-source project written in Python: The AI agent that physically operates a phone — the way you do.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agentic-ai, ai-agent, embodied-agent. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install PhysiClaw

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

PhysiClaw coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with PhysiClaw.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install PhysiClaw using your package manager: `pip install PhysiClaw`

2

Initialize your project workspace or configuration file for PhysiClaw.

3

Import PhysiClaw into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `PhysiClaw --help` to verify successful setup.

👍 Strengths

Active community backing with 377 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

physiclaw/PhysiClaw is currently ranked #4,065 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#4,060 kvndrsslr/sketchybar-app-font JavaScript ★ 379 Compare ↗
#4,061 Ansuel/tch-nginx-gui Lua ★ 378 Compare ↗
#4,061 flow-php/etl PHP ★ 378 Compare ↗
#4,061 vakhov/fresh-proxy-list PHP ★ 378 Compare ↗
#4,061 tomquist/AstraMeter Python ★ 378 Compare ↗
#4,065 physiclaw/PhysiClaw This Project Python ★ 377
#4,065 getgrav/grav-plugin-admin PHP ★ 377 Compare ↗
#4,065 mytechnotalent/Go-Hacking Go ★ 377 Compare ↗
#4,065 XPolicyLab/XPolicyLab Python ★ 377 Compare ↗
#4,069 puppetlabs/puppetlabs-mysql Ruby ★ 376 Compare ↗
#4,069 couchbase/gocb Go ★ 376 Compare ↗

Frequently Asked Questions

What does PhysiClaw do? +

The AI agent that physically operates a phone — the way you do.

What language is PhysiClaw written in? +

The primary language is Python. Topics include: agentic-ai, ai-agent, embodied-agent, embodied-ai, gui-agent.

Is PhysiClaw actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 0 open issues being tracked.

How many stars does PhysiClaw have? +

PhysiClaw has 377 stars and 38 forks on GitHub.

How does PhysiClaw rank among GitHub repositories? +

With 377 stars, physiclaw/PhysiClaw is ranked #4,065 globally across all repositories tracked on GitHubRepo and #482 among Python projects.

What license is PhysiClaw distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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