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Skyvern-AI
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Skyvern-AI/skyvern

Automate browser based workflows with AI

Python ◇ ai AGPL-3.0
★23.1KSTARS
⑂2.2KFORKS
!269ISSUES
🏆#536GLOBAL RANK
🔥10DAYS TRENDING
🚀
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Momentum

+578

STARS · LAST 30 DAYS

19

PER DAY

#96

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+36+578+1.7K
Per day51919
Forks gained+10+44+109

skyvern gained 578 stars in the last 30 days, about 19 a day, and now has 23.1K. It is about 3 years old and has averaged roughly 7.7K stars a year. It ranks #96 among Python repositories and #536 across all languages on GitHubRepo.

Trending Record

skyvern has maintained a continuous presence across global trending indexes, peaking at #559. Below is the 30-day activity profile:

💡 Overview

skyvern is an open-source project written in Python: Automate browser based workflows with AI.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, api, automation. 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 skyvern

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

skyvern 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 skyvern.

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 skyvern using your package manager: `pip install skyvern`

2

Initialize your project workspace or configuration file for skyvern.

3

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

4

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

👍 Strengths

Active community backing with 23,088 GitHub stars and verified adoption.
Permissive open-source distribution under the AGPL-3.0 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.

⇄ Alternatives & Direct Competitors

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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

Skyvern-AI/skyvern is currently ranked #536 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#531 openjdk/jdk Java ★ 23.4K Compare ↗
#532 nikitabobko/AeroSpace Swift ★ 23.3K Compare ↗
#533 dotnet/maui C# ★ 23.3K Compare ↗
#534 bendlang/bend TypeScript ★ 23.3K Compare ↗
#535 jaegertracing/jaeger Go ★ 23.3K Compare ↗
#536 Skyvern-AI/skyvern This Project Python ★ 23.1K
#537 grpc/grpc-go Go ★ 23.1K Compare ↗
#538 marimo-team/marimo Python ★ 23K Compare ↗
#539 TecharoHQ/anubis Go ★ 23K Compare ↗
#540 mislav/hub Go ★ 23K Compare ↗
#541 oxc-project/oxc Rust ★ 22.9K Compare ↗

Frequently Asked Questions

What does skyvern do? +

Automate browser based workflows with AI

What language is skyvern written in? +

The primary language is Python. Topics include: ai, api, automation, browser, browser-automation.

Is skyvern actively maintained? +

Yes, the last recorded push was on Oct 2, 2026 with 269 open issues being tracked.

How many stars does skyvern have? +

skyvern has 23,124 stars and 2,188 forks on GitHub.

How does skyvern rank among GitHub repositories? +

With 23,124 stars, Skyvern-AI/skyvern is ranked #536 globally across all repositories tracked on GitHubRepo and #96 among Python projects.

What license is skyvern distributed under? +

The repository reports a AGPL-3.0 license. Always verify the repository LICENSE file for legal terms.

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