Run frontier LLMs and VLMs locally on Qualcomm devices across NPU, GPU, and CPU with a few lines of code
⚡ Executive Summary & Quick Facts
Authoritative SourceGenieX 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. |
Star History
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Momentum
+211
STARS · LAST 30 DAYS
7
PER DAY
#228
MOST-STARRED Go
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +49 | +211 | +630 |
| Per day | 7 | 7 | 7 |
| 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
4
DAYS ON TRENDING
#4911
BEST RANK
Oct 16, 2026
FIRST APPEARANCE
Active
STATUS TODAY
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
Optimized execution pipeline written in Go for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ 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
Install GenieX using your package manager: `go install github.com/qualcomm/GenieX@latest`
Initialize your project workspace or configuration file for GenieX.
Import GenieX into your codebase or invoke it directly from your terminal.
Execute your test suite or run `GenieX --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #1,590 | withastro/flue | TypeScript | ★ 8.5K | Compare ↗ |
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| #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 ↗ |
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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.