Local AI Assistant on Linux: Full Offline Setup with Ollama and Open WebUI

A local AI assistant on Linux: Ollama for models, Open WebUI for chat, LocalAI for APIs. Full offline setup with real star data.

💡 What You Will Learn

A local AI assistant on Linux: Ollama for models, Open WebUI for chat, LocalAI for APIs. Full offline setup with real star data.

Linux is the best platform for a local AI assistant: headless servers, Docker, and GPU drivers all behave. A full offline assistant is a weekend project.

The Stack

Ollama (177,874 stars) serves models with a one-line install and an OpenAI-compatible API. Open WebUI (148,123 stars) is the ChatGPT-grade interface with RAG, multi-user, and web search. LocalAI (48,305 stars) adds a drop-in OpenAI API replacement for apps that expect the real endpoint. All three run in Docker on any Linux box - including a mini PC or NAS.

What You Get

A private assistant that works without internet: chat, document Q&A from your files, and an API for your own scripts. A 7-8B model runs on 16GB RAM; a 32B model wants 32GB or a GPU with 16GB VRAM. The privacy win is total - nothing leaves the machine.

FAQ

Q: Do I need a GPU?
A: No - llama.cpp (122,831 stars) and Ollama run on CPU; slower but usable. GPU gives 3-10x speed.

Q: Which model should I start with?
A: Qwen2.5 (27,479 stars) 7B for multilingual, DeepSeek-R1 (91,982 stars) distilled for reasoning - both run on 16GB RAM.