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openclaw/Peekaboo

Peekaboo is a macOS CLI & optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI models.

Swift ◇ ai MIT
★5.4KSTARS
⑂415FORKS
!13ISSUES
🏆#2,775GLOBAL RANK
🔥45DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

Peekaboo is Peekaboo is an open-source project written in Swift: Peekaboo is a macOS CLI & optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI models..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), openclaw/Peekaboo has accumulated 5,424 GitHub stars and 415 forks. It is written in Swift, licensed under MIT, and ranks #2,775 globally. It is actively maintained with the latest commit recorded on Nov 3, 2026.”
Repository openclaw/Peekaboo ↗
Primary Category ai
Language & Stack Swift
Software License MIT
Community Traction ★ 5.4K stars · ⑂ 415 forks · #2,775 globally
Maintenance ● Active (Last commit: Nov 3, 2026) · 13 open issues
Target Audience Developers and engineering teams building with Swift, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 97/100 · Grade A+
✅
Is Peekaboo actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, Peekaboo is actively maintained. Continuous telemetry recorded the last code commit on Nov 3, 2026 (9 days ago). Supported by 5,424 stars and 415 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 3, 2026
9 days since last push
Issue Backlog
13 Open Issues
Healthy Issue Cadence
Community Backing
415 Forks
5.4K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for openclaw/Peekaboo
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Momentum

+177

STARS · LAST 30 DAYS

6

PER DAY

#86

MOST-STARRED Swift

Window7 days30 days90 days
Stars gained+0+177+540
Per day166
Forks gained+0+6+21

Peekaboo gained 177 stars in the last 30 days, about 6 a day, and now has 5.4K. It is about 1 year old and has averaged roughly 5.4K stars a year. It ranks #86 among Swift repositories and #2,775 across all languages on GitHubRepo.

Trending Record

Peekaboo has maintained a continuous presence across global trending indexes, peaking at #347. Below is the 30-day activity profile:

💡 Overview

Peekaboo is an open-source project written in Swift: Peekaboo is a macOS CLI & optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI models.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, macos, mcp. 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/openclaw/Peekaboo.git
cd Peekaboo

⚙ 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

Peekaboo 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 Peekaboo.

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 Peekaboo using your package manager: `git clone https://github.com/openclaw/Peekaboo.git`

2

Initialize your project workspace or configuration file for Peekaboo.

3

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

4

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

👍 Strengths

Active community backing with 5,202 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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

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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

openclaw/Peekaboo is currently ranked #2,775 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#2,770 CellularPrivacy/Android-IMSI-Catcher-Detector Java ★ 5.4K Compare ↗
#2,771 ardatan/graphql-tools TypeScript ★ 5.4K Compare ↗
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#2,772 aipoch/open-science TypeScript ★ 5.4K Compare ↗
#2,775 openclaw/Peekaboo This Project Swift ★ 5.4K
#2,775 PokeAPI/pokeapi Python ★ 5.4K Compare ↗
#2,775 apache/opendal Rust ★ 5.4K Compare ↗
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Frequently Asked Questions

What does Peekaboo do? +

Peekaboo is a macOS CLI & optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI models.

Is Peekaboo actively maintained in 2026? +

Yes, Peekaboo is actively maintained. The latest code push was recorded on Nov 3, 2026 (9 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 5,424 stars and 13 open issues.

What language is Peekaboo written in? +

The primary language is Swift. Topics include: ai, macos, mcp, screenshots, swift.

How many stars does Peekaboo have? +

Peekaboo has 5,424 stars and 415 forks on GitHub.

How does Peekaboo rank among GitHub repositories? +

With 5,424 stars, openclaw/Peekaboo is ranked #2,775 globally across all repositories tracked on GitHubRepo and #86 among Swift projects.

What license is Peekaboo distributed under? +

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

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