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GenieX

qualcomm.com·Infrastructure

GenieX is an on-device generative AI inference runtime designed specifically for Qualcomm Snapdragon platforms. It enables local execution of advanced language models (LLMs) and vision-language models (VLMs), allowing developers to run these models directly on device hardware such as the Hexagon NPU, Adreno GPU, or CPU. GenieX is positioned as the community version of Qualcomm GENIE and is currently available in a developer preview.

The platform provides multiple entry points for integrating AI inference into applications. Developers can interact with GenieX through a command-line interface for running and serving models directly from the terminal, a Python SDK for embedding inference capabilities into Python applications, and a Java/Kotlin SDK tailored for on-device mobile apps on Android. Additionally, GenieX offers a Docker container for reproducible deployments and an OpenAI-compatible local server, facilitating integration with existing OpenAI-compatible workflows.

GenieX is intended for developers seeking to deploy frontier generative AI models on Qualcomm hardware across a variety of environments, including mobile devices and embedded systems. Its architecture is designed to simplify the process of running sophisticated AI models locally, requiring only a few lines of code to get started.

evidence_sufficient": true}

Open SourceBSD-3-Clause
WebCLISelf-hostedEmbeddableAPILinux
G
GenieX preview
Visit qualcomm.com↗
⭐8.2k
stars
🍴1.0k
forks
✓5
features
📅2026
since

Overview

5 features

In the Other AI space, GenieX takes a focused approach. It focuses on running advanced language and vision models locally on Qualcomm Snapdragon devices without cloud dependency. It is built as an open-source project for AI developers on Qualcomm platforms. GenieX is open source under the BSD-3-Clause license. GenieX is available on the web, the command line, embeddable surfaces, API, and Linux, and it can be self-hosted.

Behind GenieX is Qualcomm, and the product first shipped in 2026. Development happens publicly on GitHub with 8.2k stars and 1.7k commits in the last 90 days. Key capabilities include on-device inference, Python SDK, and Android SDK. GenieX is currently in beta.

  • ✓On-device inference
  • ✓Python SDK
  • ✓Android SDK
  • ✓Docker support
  • ✓OpenAI-compatible server

Tags

on-device-inferencequalcomm-snapdragonllm-runtime

AI capabilities

TextImageMultimodalInference: LocalWeights: Open

Built with & integrations

Framework
nextjs
Hosting
vercelcloudflare
AI providers
local_oss
Runs on
BrowserCLISelf-hostedEmbeddableAPI-onlyLinuxAndroid

Trust & compliance

LicenseBSD-3-Clause
Verified signals
✓ HTTPS✓ Open Source✓ Free tier✓ GitHub · ★ 8.2k✓ Active maintenance

Recent events

Latest indexed changes and source events

  1. IndexedJul 14, 11:13 PM

    qualcomm/GenieX verified by the PulseGate indexer

    Source: PulseGate indexerOpen ↗

Frequently asked questions about GenieX

What does GenieX do?
GenieX focuses on running advanced language and vision models locally on Qualcomm Snapdragon devices without cloud dependency. It is catalogued under Other AI on PulseGate.
Who is GenieX for?
GenieX is an open-source project built for AI developers on Qualcomm platforms.
Is GenieX free?
Yes — GenieX is open source under the BSD-3-Clause license and free to use.
What platforms does GenieX run on?
GenieX runs on the web, the command line, embeddable surfaces, API, and Linux. It can also be self-hosted.
Is GenieX still maintained?
PulseGate's automated liveness checks currently classify GenieX as active. The GitHub repository shows 1.7k commits in the last 90 days.
What are alternatives to GenieX?
Similar tools tracked by PulseGate include GeneXus, Genie, and dGENIX.GeneXusGeniedGENIX
Who makes GenieX?
GenieX is developed by Qualcomm.
When did GenieX launch?
GenieX first shipped in 2026.

At a glance

Pricing
Open Source
Platforms
Api · Cli · Web
Languages
English
Open source
Yes · ★ 8.2k
License
BSD-3-Clause
First seen
Jul 14, 2026
Activity
🟢 Active
Status
🟡 Beta
Built for
AI developers on Qualcomm platforms
Model
Open source
Solves
Running advanced language and vision models locally on Qualcomm Snapdragon devices without cloud dependency.

Developer

Qualcomm
Team
↗ GitHub

Open source

View on GitHub →
⭐ Stars
8,209
🍴 Forks
1,022
Open issues
61
Last commit
1d ago
Commits 90d
1687
Contributors
16
Authorship
Team
Default branch
main
Latest release
v0.3.14 · 2w ago

Live coverage

Confidence
Medium · 68
Indexed
Jul 14, 2026
Lifecycle
Alive
Activity
Active
First seen
Jul 2026
Last seen
1d ago
Identity audit (9)
Entity ID
cmrl9os1610g6cwu5e1u538md
Slug
qualcomm-geniex-qualcomm-com
Verification state
Indexed for public listing
Claim / listing state
Unclaimed · listed: yes
Index status
Included in index
Latest evidence snapshot
Jul 14, 2026
Timeline basis
Indexed-at chronology (no inferred launch/funding milestones).
Last updated
Jul 14, 2026
Canonical URL
https://geniex.aihub.qualcomm.com/en/get-started/what-is-geniex

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