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kernel/kernel-images

Browsers-as-a-service for automations and web agents

Go ◇ ai Apache-2.0
★1.1KSTARS
⑂85FORKS
!54ISSUES
🏆#3,716GLOBAL RANK
🔥3DAYS TRENDING
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+27

STARS · LAST 30 DAYS

1

PER DAY

#423

MOST-STARRED Go

Window7 days30 days90 days
Stars gained+7+27+90
Per day111
Forks gained+1+3+10

kernel-images gained 27 stars in the last 30 days, about 1 a day, and now has 1.1K. It is about 2 years old and has averaged roughly 536 stars a year. It ranks #423 among Go repositories and #3,716 across all languages on GitHubRepo.

Trending Record

kernel-images has maintained a continuous presence across global trending indexes, peaking at #3659. Below is the 30-day activity profile:

💡 Overview

kernel-images is an open-source project written in Go: Browsers-as-a-service for automations and web agents.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, browser, container. 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 Go 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
$ go install github.com/kernel/kernel-images@latest

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

kernel-images coordinates its core functionality through a modular Go 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 kernel-images.

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 kernel-images using your package manager: `go install github.com/kernel/kernel-images@latest`

2

Initialize your project workspace or configuration file for kernel-images.

3

Import kernel-images into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 1,072 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Go 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 Go 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 Go, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

kernel/kernel-images is currently ranked #3,716 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#3,711 belaban/JGroups Java ★ 1.1K Compare ↗
#3,712 kamgurgul/cpu-info Kotlin ★ 1.1K Compare ↗
#3,713 Kotlin/kotlinx-rpc Kotlin ★ 1.1K Compare ↗
#3,713 secureblue/secureblue Python ★ 1.1K Compare ↗
#3,713 GoogleCloudPlatform/k8s-config-connector Go ★ 1.1K Compare ↗
#3,716 kernel/kernel-images This Project Go ★ 1.1K
#3,716 brynary/rack-bug Ruby ★ 1.1K Compare ↗
#3,718 Shopify/tophat Swift ★ 1.1K Compare ↗
#3,719 spring-cloud/spring-cloud-stream Java ★ 1.1K Compare ↗
#3,720 graphiti-api/graphiti Ruby ★ 1.1K Compare ↗
#3,721 ovn-kubernetes/ovn-kubernetes Go ★ 1.1K Compare ↗

Frequently Asked Questions

What does kernel-images do? +

Browsers-as-a-service for automations and web agents

What language is kernel-images written in? +

The primary language is Go. Topics include: ai, browser, container, docker, infrastructure.

Is kernel-images actively maintained? +

Yes, the last recorded push was on Sep 30, 2026 with 54 open issues being tracked.

How many stars does kernel-images have? +

kernel-images has 1,072 stars and 85 forks on GitHub.

How does kernel-images rank among GitHub repositories? +

With 1,072 stars, kernel/kernel-images is ranked #3,716 globally across all repositories tracked on GitHubRepo and #423 among Go projects.

What license is kernel-images distributed under? +

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

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