Local AI Interfaces

Interface Comparison

Open WebUI (Recommended)

Open WebUI (formerly Ollama WebUI) is the most popular ChatGPT-like interface for local models. It's a web app you self-host that connects to Ollama or any OpenAI-compatible backend.

Quick setup with Docker

# One command to start (connects to Ollama at localhost:11434)
docker run -d -p 3000:8080 \
  --add-host=host.docker.internal:host-gateway \
  -v open-webui:/app/backend/data \
  --name open-webui \
  ghcr.io/open-webui/open-webui:main

# Open http://localhost:3000 in your browser
# Create an account on first visit (local only, no data leaves your machine)

Key features

• ChatGPT-like UI — conversation threads, markdown rendering, code highlighting
• Model switching — swap between Ollama models mid-conversation
• RAG (document chat) — upload PDFs/docs and ask questions about them
• Web search — connect to search APIs for up-to-date information
• Multi-user — user accounts with separate conversation histories
• System prompts — presets for different assistants (coder, writer, analyst)
• Image generation — connect to Stable Diffusion / DALL-E backends
• Voice input/output — speech-to-text and text-to-speech

LM Studio

LM Studio is a desktop application that bundles everything: model browser, downloader, inference engine, and chat UI. No terminal needed.

Setup

1. Download from lmstudio.ai (Mac, Windows, Linux)
2. Browse and download models from the built-in Hugging Face browser
3. Select a model and start chatting — that's it

Key features

• Built-in model browser — search Hugging Face, filter by size/quantization, one-click download
• No dependencies — self-contained app, no Python/Docker/terminal required
• Local server mode — serve an OpenAI-compatible API for other tools
• GPU auto-detection — NVIDIA CUDA, AMD, Apple Metal
• Parameter tweaking — adjust temperature, top-p, context length in the UI

Jan

Jan is an open-source desktop app focused on privacy. It stores everything locally (conversations, models, preferences) with no telemetry.

Key features

• 100% local — no accounts, no cloud, no tracking
• Extensions — plugin system for adding features
• Multiple backends — built-in llama.cpp + connect to Ollama or cloud APIs
• Cross-platform — Mac, Windows, Linux
• Open source — MIT license, full transparency

Which Should You Use?

Complete Setup: Ollama + Open WebUI

The most popular local AI stack is Ollama (backend) + Open WebUI (frontend). Here's how to set it up with Docker Compose:

# compose.yaml - Full local AI stack
services:
  ollama:
    image: ollama/ollama
    volumes:
      - ollama-data:/root/.ollama
    ports:
      - "11434:11434"
    deploy:
      resources:
        reservations:
          devices:
            - capabilities: [gpu]   # Pass GPU to container

  open-webui:
    image: ghcr.io/open-webui/open-webui:main
    ports:
      - "3000:8080"
    environment:
      - OLLAMA_BASE_URL=http://ollama:11434
    volumes:
      - open-webui-data:/app/backend/data
    depends_on:
      - ollama

volumes:
  ollama-data:
  open-webui-data:

# Start the stack
docker compose up -d

# Pull a model inside the Ollama container
docker compose exec ollama ollama pull llama3.1

# Open http://localhost:3000 and start chatting!

Interview Questions