THE NEXT GENERATION OF AI MANAGEMENT
An open-source, highly modular environment built for AI power users to configure, manage, and run local AI interfaces.
Running Local AI Systems
Everything You Need to Manage Local AI
LynxHub packages professional command-line control tools into a premium, accessible visual dashboard.
Multi-branch AI Repository Manager
Toggle branches, stash configurations, and fetch remote updates directly.
Merge branch 'release/v3.5.0'
Author: KindaBrazy <kindofbrazy@gmail.com>
Fix xformers memory optimization bug
Author: Contributor <helper@lynxhub.app>
GUI Command-Line Composer
Visual switches generate clean CLI arguments without syntax errors.
Pre-launch Pipelines
Add custom run environment validations and setup steps automatically before launching.
[SYSTEM] Initializing pipeline check...
[OK] Git repository status verified: clean
[OK] Venv loaded: python-3.10.11
[INFO] Package dependencies up to date
[EXEC] python main.py --xformers --api
Centralized Ecosystem Hub
Discover extensions and modules. Installs and updates plugins directly.
Python Toolkit
Streamline Python virtual environments and packages
Hardware Monitor
Real-time CPU, GPU, and RAM telemetry
Official Plugins
Enhance your AI workspace with purpose-built extensions. Fully integrated, open-source, and optimized for performance.
Local AI Collection
A curated suite of local AI tools featuring full argument, config, and extension support.
Python Toolkit
Streamline Python virtual environments (venv) and package management.
Hardware Monitor
Real-time CPU, GPU, and RAM telemetry injected directly into the status bar.
Custom Actions
Create personalized workflow shortcuts and macro cards.
One Interface.
Infinite Workflows.
Run your terminals, web interfaces, arguments editors, and logs simultaneously. LynxHub binds them together in a single container.
Tabbed Environment Sync
Separate processes run in independent tabs but share telemetry.
Configurable Layout Splits
Arrange terminals and WebUIs side-by-side or stacked dynamically.
[02:14:05] Loading weights...
[02:14:08] Apply xformers optimized attention
Model loaded in 3.12 seconds.
Build the Future of
Local AI Workflows
Join a community of developers and creators. Share custom plugins, collaborate on optimized CLI configurations, and get exclusive early access to latest desktop releases.