ComputerUseAgent/AutoCua
Automatic computer use agent for end-to-end automation workflows on macOS, Windows, Linux, iOS and the browser.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#2,193
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
AutoCua gained 10 stars in the last 30 days, about 1 a day, and now has 102. It is about 1 year old and has averaged roughly 102 stars a year. It ranks #2,193 among Python repositories and #16,554 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#15244
BEST RANK
Oct 14, 2026
FIRST APPEARANCE
Active
STATUS TODAY
AutoCua has maintained a continuous presence across global trending indexes, peaking at #15244. Below is the 30-day activity profile:
💡 Overview
AutoCua is an open-source project written in Python: Automatic computer use agent for end-to-end automation workflows on macOS, Windows, Linux, iOS and the browser.
Engineered for speed, consistency, and developer ease, it solves common hurdles in browser-use, browser-use-agent, code-generation. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install AutoCua⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
AutoCua 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 AutoCua.
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
Install AutoCua using your package manager: `pip install AutoCua`
Initialize your project workspace or configuration file for AutoCua.
Import AutoCua into your codebase or invoke it directly from your terminal.
Execute your test suite or run `AutoCua --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
ComputerUseAgent/AutoCua is currently ranked #16,554 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #16,491 | Yzmblog/DMAD | Python | ★ 103 | Compare ↗ |
| #16,491 | madong-code/madong-mono | JavaScript | ★ 103 | Compare ↗ |
| #16,491 | WaEnhancerX/WaEnhancerX | Kotlin | ★ 103 | Compare ↗ |
| #16,491 | ntailio/ntk | Go | ★ 103 | Compare ↗ |
| #16,491 | jhaiian/ClintGecko | Kotlin | ★ 103 | Compare ↗ |
| #16,554 | ComputerUseAgent/AutoCua This Project | Python | ★ 102 | |
| #16,554 | mbleigh/uberkit | Ruby | ★ 102 | Compare ↗ |
| #16,554 | macournoyer/min | Java | ★ 102 | Compare ↗ |
| #16,554 | chb/indivo_server | Python | ★ 102 | Compare ↗ |
| #16,554 | hoelzro/linotify | C | ★ 102 | Compare ↗ |
| #16,554 | dcrec1/acts_as_solr_reloaded | Ruby | ★ 102 | Compare ↗ |
Frequently Asked Questions
What does AutoCua do? +
Automatic computer use agent for end-to-end automation workflows on macOS, Windows, Linux, iOS and the browser.
What language is AutoCua written in? +
The primary language is Python. Topics include: browser-use, browser-use-agent, code-generation, codex, computer-agent.
Is AutoCua actively maintained? +
Yes, the last recorded push was on Oct 13, 2026 with 0 open issues being tracked.
How many stars does AutoCua have? +
AutoCua has 102 stars and 3 forks on GitHub.
How does AutoCua rank among GitHub repositories? +
With 102 stars, ComputerUseAgent/AutoCua is ranked #16,554 globally across all repositories tracked on GitHubRepo and #2,193 among Python projects.
What license is AutoCua distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
