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googleapis/go-genai

Google Gen AI Go SDK provides an interface for developers to integrate Google's generative models into their Go applications.

Go ◇ developer-tools Apache-2.0
★1.2KSTARS
⑂162FORKS
!56ISSUES
🏆#2,432GLOBAL RANK
🔥2DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for googleapis/go-genai
CSV

Momentum

+30

STARS · LAST 30 DAYS

1

PER DAY

#280

MOST-STARRED Go

Window7 days30 days90 days
Stars gained+7+30+90
Per day111
Forks gained+1+3+10

go-genai gained 30 stars in the last 30 days, about 1 a day, and now has 1.2K. It is about 2 years old and has averaged roughly 598 stars a year. It ranks #280 among Go repositories and #2,432 across all languages on GitHubRepo.

Trending Record

go-genai has maintained a continuous presence across global trending indexes, peaking at #2347. Below is the 30-day activity profile:

💡 Overview

go-genai is an open-source project written in Go: Google Gen AI Go SDK provides an interface for developers to integrate Google's generative models into their Go applications.

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/googleapis/go-genai@latest

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

go-genai 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 go-genai 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 go-genai using your package manager: `go install github.com/googleapis/go-genai@latest`

2

Initialize your project workspace or configuration file for go-genai.

3

Import go-genai into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 1,195 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.

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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

googleapis/go-genai is currently ranked #2,432 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#2,425 xevrion/breakscale TypeScript ★ 1.2K Compare ↗
#2,425 unstablebuild/rune Go ★ 1.2K Compare ↗
#2,429 n0-computer/sendme Rust ★ 1.2K Compare ↗
#2,429 clacky-ai/openclacky Ruby ★ 1.2K Compare ↗
#2,431 polterguy/magic C# ★ 1.2K Compare ↗
#2,432 googleapis/go-genai This Project Go ★ 1.2K
#2,432 soniqo/speech-swift Swift ★ 1.2K Compare ↗
#2,434 microsoft/aspire-samples C# ★ 1.2K Compare ↗
#2,435 ricardochimal/taps Ruby ★ 1.2K Compare ↗
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Frequently Asked Questions

What does go-genai do? +

Google Gen AI Go SDK provides an interface for developers to integrate Google's generative models into their Go applications.

What language is go-genai written in? +

The primary language is Go. Topics include: software.

Is go-genai actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 56 open issues being tracked.

How many stars does go-genai have? +

go-genai has 1,195 stars and 162 forks on GitHub.

How does go-genai rank among GitHub repositories? +

With 1,195 stars, googleapis/go-genai is ranked #2,432 globally across all repositories tracked on GitHubRepo and #280 among Go projects.

What license is go-genai distributed under? +

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

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