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NVIDIA
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NVIDIA/Personal-AI-Router

Router that virtually distributes inference across connected devices in the home.

Go ◇ developer-tools Apache-2.0
★1.5KSTARS
⑂263FORKS
!102ISSUES
🏆#3,349GLOBAL RANK
🔥2DAYS TRENDING
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Momentum

+39

STARS · LAST 30 DAYS

1

PER DAY

#403

MOST-STARRED Go

Window7 days30 days90 days
Stars gained+7+39+90
Per day111
Forks gained+1+5+13

Personal-AI-Router gained 39 stars in the last 30 days, about 1 a day, and now has 1.5K. It is about 1 year old and has averaged roughly 1.5K stars a year. It ranks #403 among Go repositories and #3,349 across all languages on GitHubRepo.

Trending Record

Personal-AI-Router has maintained a continuous presence across global trending indexes, peaking at #4061. Below is the 30-day activity profile:

💡 Overview

Personal-AI-Router is an open-source project written in Go: Router that virtually distributes inference across connected devices in the home.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Go. 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/NVIDIA/Personal-AI-Router@latest

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

Personal-AI-Router 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

Production System Integration

Embed Personal-AI-Router into Go backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open Apache-2.0 license.

🚀 Getting Started

1

Install Personal-AI-Router using your package manager: `go install github.com/NVIDIA/Personal-AI-Router@latest`

2

Initialize your project workspace or configuration file for Personal-AI-Router.

3

Import Personal-AI-Router into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `Personal-AI-Router --help` to verify successful setup.

👍 Strengths

Active community backing with 1,540 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

NVIDIA/Personal-AI-Router is currently ranked #3,349 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#3,341 mcallegari/qlcplus C++ ★ 1.5K Compare ↗
#3,345 vinceglb/FileKit Kotlin ★ 1.5K Compare ↗
#3,345 iamolegga/nestjs-pino TypeScript ★ 1.5K Compare ↗
#3,347 openai/openai-java Kotlin ★ 1.5K Compare ↗
#3,347 hashicorp/terraform-mcp-server Go ★ 1.5K Compare ↗
#3,349 NVIDIA/Personal-AI-Router This Project Go ★ 1.5K
#3,350 Macro-Deck-App/Macro-Deck C# ★ 1.5K Compare ↗
#3,351 hydra-db/open-glean TypeScript ★ 1.5K Compare ↗
#3,351 google/GNM Python ★ 1.5K Compare ↗
#3,351 phpstan/phpdoc-parser PHP ★ 1.5K Compare ↗
#3,354 Cay-Zhang/RSSBud JavaScript ★ 1.5K Compare ↗

Frequently Asked Questions

What does Personal-AI-Router do? +

Router that virtually distributes inference across connected devices in the home.

What language is Personal-AI-Router written in? +

The primary language is Go. Topics include: software.

Is Personal-AI-Router actively maintained? +

Yes, the last recorded push was on Oct 2, 2026 with 102 open issues being tracked.

How many stars does Personal-AI-Router have? +

Personal-AI-Router has 1,540 stars and 263 forks on GitHub.

How does Personal-AI-Router rank among GitHub repositories? +

With 1,540 stars, NVIDIA/Personal-AI-Router is ranked #3,349 globally across all repositories tracked on GitHubRepo and #403 among Go projects.

What license is Personal-AI-Router distributed under? +

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

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