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Self-Host with Docker · Yantr

Project N.O.M.A.D.

Self-contained offline survival computer with AI, knowledge base, and essential tools.

Ports

2

Deps

0

Use Cases

4

About

What Project N.O.M.A.D. does

Project N.O.M.A.D. is a self-contained offline survival computer with AI chat, offline Wikipedia (Kiwix), Khan Academy courses (Kolibri), maps, data tools, notes, and system benchmarking. Perfect for offline use.

Install Flow

How to self-host Project N.O.M.A.D.

Project N.O.M.A.D. can be deployed with standard Docker Compose using the Yantr app catalog. This page collects the basic information searchers usually need first: what Project N.O.M.A.D. does, which Docker image Yantr uses, default ports, dependencies, and where to find the original compose template.

If you searched for Project N.O.M.A.D. Docker, Project N.O.M.A.D. Docker Compose, or self-host Project N.O.M.A.D., this page is the direct landing page for that app in Yantr's catalog.

After deployment, Yantr also lets you publish additional ports later from the stack page using Docker-style syntax. Use mappings like 8080:8080 for a fixed host port or just 8080 to let Docker assign a random host port for container port 8080.

Use Cases

What people run it for

Run AI chat and document search completely offline with local LLMs.
Access Wikipedia, medical references, and educational content without internet.
Use as a self-contained survival computer for emergency preparedness.
Host a private, secure knowledge base for offline use.

Technical Details

Ports, image, and service metadata

Ports

These are the standard container ports Yantr knows about for Project N.O.M.A.D.. You can keep the default mapping, remap them, or publish extra ports later after deployment with Docker syntax such as 3000:3000 or 3000.

Port Protocol Label
8080 HTTP Command Center
9999 HTTP Container Logs

Docker Image

ghcr.io/crosstalk-solutions/project-nomad:v1.30.2

Service Name

admin

Notes

Things to know before you deploy

! Requires Docker socket access for container orchestration.
! Minimum 4GB RAM for base installation; 32GB recommended for AI tools.
! Contains no telemetry - fully offline capable after initial install.
! No built-in authentication - use network-level controls for multi-user access.

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Page generated 2026-05-03T17:57:37.943Z