Documentation
Understand TuxNest from first setup through model routing, agent execution, context, remote GPU use and security.
Built around control.
Minimal interface, explicit model choice, reviewable changes and evidence you can inspect.
Install TuxNest and connect an existing runtime.
Learn how the editor, providers, tools and evidence pipeline fit together.
Understand inspection, planning, execution and verification.
Learn how current workspace evidence and conversation context are assembled.
Configure local and compatible model providers.
Tunnel safely to your own GPU host.
Review proposed changes before accepting them.
Understand boundaries and permissions.
Diagnose provider, model and tool issues.
Local AI should feel local.
Your editor, your model runtime, your hardware and your approval remain first-class parts of the workflow.