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marcusschiesser
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marcusschiesser/screencontext

A native macOS screen recorder that turns screen recordings into context for AI agents. Capture bugs, demos, and workflows—saved locally.

Swift ◇ ai-agents Apache-2.0
★23STARS
⑂0FORKS
!0ISSUES
🏆#8,149GLOBAL RANK
🔥5DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for marcusschiesser/screencontext
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#474

MOST-STARRED Swift

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

screencontext gained 10 stars in the last 30 days, about 1 a day, and now has 23. It is about 1 year old and has averaged roughly 23 stars a year. It ranks #474 among Swift repositories and #8,149 across all languages on GitHubRepo.

Trending Record

screencontext has maintained a continuous presence across global trending indexes, peaking at #3235. Below is the 30-day activity profile:

💡 Overview

screencontext is an open-source project written in Swift: A native macOS screen recorder that turns screen recordings into context for AI agents. Capture bugs, demos, and workflows—saved locally.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, developer-tools, macos. 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 Swift 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
$ git clone https://github.com/marcusschiesser/screencontext.git
cd screencontext

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Swift 5.9+ / Xcode 15+ (macOS/Linux)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

screencontext coordinates its core functionality through a modular Swift 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 screencontext.

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 screencontext using your package manager: `git clone https://github.com/marcusschiesser/screencontext.git`

2

Initialize your project workspace or configuration file for screencontext.

3

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

4

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

👍 Strengths

Active community backing with 23 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Swift 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 Swift 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

A
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👥 Who Should Use This

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

🏆 Nearby in the Rankings

marcusschiesser/screencontext is currently ranked #8,149 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#8,109 lufzle/foldelight Swift ★ 24 Compare ↗
#8,109 SvenGDK/Prospero-Explorer C# ★ 24 Compare ↗
#8,109 CogFlux/aiusage Swift ★ 24 Compare ↗
#8,109 Mantimestwo/Light-sprite-renderer C# ★ 24 Compare ↗
#8,109 luoxiaoxin123/bwssh C# ★ 24 Compare ↗
#8,149 marcusschiesser/screencontext This Project Swift ★ 23
#8,149 collectiveidea/with_action Ruby ★ 23 Compare ↗
#8,149 eastmedia/kaltura Ruby ★ 23 Compare ↗
#8,149 pat/active-matchers Ruby ★ 23 Compare ↗
#8,149 tyler/collaborative_filter Ruby ★ 23 Compare ↗
#8,149 rlivsey/timed_fragment_cache Ruby ★ 23 Compare ↗

Frequently Asked Questions

What does screencontext do? +

A native macOS screen recorder that turns screen recordings into context for AI agents. Capture bugs, demos, and workflows—saved locally.

What language is screencontext written in? +

The primary language is Swift. Topics include: ai-agents, developer-tools, macos, screen-capture, screen-recorder.

Is screencontext actively maintained? +

Yes, the last recorded push was on Sep 11, 2026 with 0 open issues being tracked.

How many stars does screencontext have? +

screencontext has 23 stars and 0 forks on GitHub.

How does screencontext rank among GitHub repositories? +

With 23 stars, marcusschiesser/screencontext is ranked #8,149 globally across all repositories tracked on GitHubRepo and #474 among Swift projects.

What license is screencontext distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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