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awlevin/typesafe-computer-use

Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS.

Python ◇ ai-agents MIT
★1KSTARS
⑂94FORKS
!9ISSUES
🏆#2,617GLOBAL RANK
🔥6DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for awlevin/typesafe-computer-use
CSV

Momentum

+26

STARS · LAST 30 DAYS

1

PER DAY

#329

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+26+90
Per day111
Forks gained+1+3+10

typesafe-computer-use gained 26 stars in the last 30 days, about 1 a day, and now has 1K. It is about 1 year old and has averaged roughly 1K stars a year. It ranks #329 among Python repositories and #2,617 across all languages on GitHubRepo.

Trending Record

typesafe-computer-use has maintained a continuous presence across global trending indexes, peaking at #125. Below is the 30-day activity profile:

💡 Overview

typesafe-computer-use is an open-source project written in Python: Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, automation, computer-use. 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 typesafe-computer-use

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

typesafe-computer-use 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 typesafe-computer-use.

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 typesafe-computer-use using your package manager: `pip install typesafe-computer-use`

2

Initialize your project workspace or configuration file for typesafe-computer-use.

3

Import typesafe-computer-use into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `typesafe-computer-use --help` to verify successful setup.

👍 Strengths

Active community backing with 950 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

awlevin/typesafe-computer-use is currently ranked #2,617 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#2,617 awlevin/typesafe-computer-use This Project Python ★ 1K
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#2,620 redox-os/relibc Rust ★ 1K Compare ↗
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Frequently Asked Questions

What does typesafe-computer-use do? +

Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS.

What language is typesafe-computer-use written in? +

The primary language is Python. Topics include: ai-agents, automation, computer-use, macos, ocr.

Is typesafe-computer-use actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 9 open issues being tracked.

How many stars does typesafe-computer-use have? +

typesafe-computer-use has 1,020 stars and 94 forks on GitHub.

How does typesafe-computer-use rank among GitHub repositories? +

With 1,020 stars, awlevin/typesafe-computer-use is ranked #2,617 globally across all repositories tracked on GitHubRepo and #329 among Python projects.

What license is typesafe-computer-use distributed under? +

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

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