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qualcomm/GenieX

Run frontier LLMs and VLMs locally on Qualcomm devices across NPU, GPU, and CPU with a few lines of code

Go ◇ gemma4 BSD-3-Clause
★8.4KSTARS
⑂1.1KFORKS
!67ISSUES
🏆#1,595GLOBAL RANK
🔥4DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

GenieX is GenieX is an open-source project written in Go: Run frontier LLMs and VLMs locally on Qualcomm devices across NPU, GPU, and CPU with a few lines of code..

Repository qualcomm/GenieX ↗
Primary Category gemma4
Language & Stack Go
Software License BSD-3-Clause
Community Traction ★ 8.4K stars · ⑂ 1.1K forks · #1,595 globally
Maintenance ● Active (Last commit: Oct 17, 2026) · 67 open issues
Target Audience Developers and engineering teams building with Go, seeking reliable, tested, and actively maintained tooling for production workloads.

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Momentum

+211

STARS · LAST 30 DAYS

7

PER DAY

#228

MOST-STARRED Go

Window7 days30 days90 days
Stars gained+49+211+630
Per day777
Forks gained+5+21+54

GenieX gained 211 stars in the last 30 days, about 7 a day, and now has 8.4K. It is about 2 years old and has averaged roughly 4.2K stars a year. It ranks #228 among Go repositories and #1,595 across all languages on GitHubRepo.

Trending Record

GenieX has maintained a continuous presence across global trending indexes, peaking at #4911. Below is the 30-day activity profile:

💡 Overview

GenieX is an open-source project written in Go: Run frontier LLMs and VLMs locally on Qualcomm devices across NPU, GPU, and CPU with a few lines of code.

Engineered for speed, consistency, and developer ease, it solves common hurdles in gemma4, go, gpt-oss. 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/qualcomm/GenieX@latest

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

GenieX 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 GenieX.

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 GenieX using your package manager: `go install github.com/qualcomm/GenieX@latest`

2

Initialize your project workspace or configuration file for GenieX.

3

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

4

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

👍 Strengths

Active community backing with 8,440 GitHub stars and verified adoption.
Permissive open-source distribution under the BSD-3-Clause 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

qualcomm/GenieX is currently ranked #1,595 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,590 withastro/flue TypeScript ★ 8.5K Compare ↗
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#1,592 HarnessMD/munder-difflin TypeScript ★ 8.5K Compare ↗
#1,593 unicity-aos/aos-ce Rust ★ 8.5K Compare ↗
#1,594 fluxcd/flux2 Go ★ 8.4K Compare ↗
#1,595 qualcomm/GenieX This Project Go ★ 8.4K
#1,595 ogx-ai/ogx Python ★ 8.4K Compare ↗
#1,597 Floorp-Projects/Floorp TypeScript ★ 8.4K Compare ↗
#1,598 storytold/vectorcraft Rust ★ 8.4K Compare ↗
#1,599 symfony/finder PHP ★ 8.4K Compare ↗
#1,600 DylanVann/react-native-fast-image TypeScript ★ 8.4K Compare ↗
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Frequently Asked Questions

What does GenieX do? +

Run frontier LLMs and VLMs locally on Qualcomm devices across NPU, GPU, and CPU with a few lines of code

What language is GenieX written in? +

The primary language is Go. Topics include: gemma4, go, gpt-oss, granite4, hexagon.

Is GenieX actively maintained? +

Yes, the last recorded push was on Oct 17, 2026 with 67 open issues being tracked.

How many stars does GenieX have? +

GenieX has 8,441 stars and 1,070 forks on GitHub.

How does GenieX rank among GitHub repositories? +

With 8,441 stars, qualcomm/GenieX is ranked #1,595 globally across all repositories tracked on GitHubRepo and #228 among Go projects.

What license is GenieX distributed under? +

The repository reports a BSD-3-Clause license. Always verify the repository LICENSE file for legal terms.

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