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kstenerud
Home / Go / yoloai

kstenerud/yoloai

Your agent is a security risk, so treat it like one. yoloAI does AI agent sandboxing right.

Go ◇ ai MIT
★219STARS
⑂14FORKS
!10ISSUES
🏆#12,805GLOBAL RANK
🔥7DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,385

MOST-STARRED Go

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

yoloai gained 10 stars in the last 30 days, about 1 a day, and now has 219. It is about 1 year old and has averaged roughly 219 stars a year. It ranks #1,385 among Go repositories and #12,805 across all languages on GitHubRepo.

Trending Record

yoloai has maintained a continuous presence across global trending indexes, peaking at #10759. Below is the 30-day activity profile:

💡 Overview

yoloai is an open-source project written in Go: Your agent is a security risk, so treat it like one. yoloAI does AI agent sandboxing right.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, ai-agents, aider. 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/kstenerud/yoloai@latest

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

yoloai 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 yoloai.

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 yoloai using your package manager: `go install github.com/kstenerud/yoloai@latest`

2

Initialize your project workspace or configuration file for yoloai.

3

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

4

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

👍 Strengths

Active community backing with 219 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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

kstenerud/yoloai is currently ranked #12,805 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#12,779 SanderMuller/laravel-fluent-validation PHP ★ 220 Compare ↗
#12,779 FreePeak/LeanKG Go ★ 220 Compare ↗
#12,779 pngwn/twinkleplop TypeScript ★ 220 Compare ↗
#12,779 eachkinji/CS2KillConfirmOverlay C# ★ 220 Compare ↗
#12,779 orbi-build/orbi Python ★ 220 Compare ↗
#12,805 kstenerud/yoloai This Project Go ★ 219
#12,805 jseutter/ofxparse Python ★ 219 Compare ↗
#12,805 scriptdev2/scriptdev2 C++ ★ 219 Compare ↗
#12,805 asual/lesscss-engine JavaScript ★ 219 Compare ↗
#12,805 ninjudd/clojure-protobuf Clojure ★ 219 Compare ↗
#12,805 cshaxu/nxvm C ★ 219 Compare ↗
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Frequently Asked Questions

What does yoloai do? +

Your agent is a security risk, so treat it like one. yoloAI does AI agent sandboxing right.

What language is yoloai written in? +

The primary language is Go. Topics include: ai, ai-agents, aider, claude, codex.

Is yoloai actively maintained? +

Yes, the last recorded push was on Oct 12, 2026 with 10 open issues being tracked.

How many stars does yoloai have? +

yoloai has 219 stars and 14 forks on GitHub.

How does yoloai rank among GitHub repositories? +

With 219 stars, kstenerud/yoloai is ranked #12,805 globally across all repositories tracked on GitHubRepo and #1,385 among Go projects.

What license is yoloai distributed under? +

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

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