Offline AI Assistant — run AI completely without internet

What is offline AI?

Offline AI means running artificial intelligence models entirely on your local device — no internet connection required after the initial setup. Unlike ChatGPT, Claude, or Gemini, which process your prompts on remote servers, an offline AI assistant:

• Runs on your hardware — your laptop, desktop, or local server
• Needs no internet — once you have downloaded a model, you can use it offline indefinitely
• Keeps everything private — no data ever leaves your machine
• Costs nothing to run — no API fees, no subscriptions, just electricity

Offline AI options

Hardware requirements

What you need depends on the model size you want to run:

Apple Silicon Macs (M1/M2/M3/M4) are excellent for offline AI. Unified memory acts as shared RAM+VRAM, and Metal acceleration gives near-GPU speed for many models. An M1 Mac with 16 GB RAM can run 7B-13B models comfortably.

Setup guide: Ollama

Ollama is the fastest way to get an offline AI assistant. It works on macOS, Linux, and Windows:

# 1. Install Ollama
curl -fsSL https://ollama.com/install.sh | sh

# 2. Download a model (do this once while online)
ollama pull llama3.2

# 3. Chat offline — no internet needed now
ollama run llama3.2

# 4. Use the API from any app (OpenAI-compatible)
curl http://localhost:11434/v1/chat/completions \
  -d '{"model":"llama3.2","messages":[{"role":"user","content":"Explain quantum computing simply"}]}'

Step 2 is the only step that needs internet. After downloading the model, you can disconnect and Ollama runs fully offline. The API at localhost:11434 works exactly like OpenAI's — compatible with any OpenAI SDK.

Setup guide: LM Studio

LM Studio is the beginner-friendly option. No command line required:

1. Download LM Studio from lmstudio.ai and install it
2. Open LM Studio and browse the model catalogue
3. Search for "Llama 3.2" or "Mistral" — click download on a model (do this while online)
4. Select the downloaded model in the top bar
5. Click "Start Server" to enable the OpenAI-compatible API
6. Chat directly in the built-in interface or connect apps to http://localhost:1234/v1

Once the model is downloaded, you can go offline and continue using LM Studio indefinitely.

What works well offline

An offline AI assistant handles these tasks exceptionally well:

• General chat — conversation, advice, brainstorming, explanation. Models like Llama 3.2 8B and Mistral 7B handle this at near-GPT-3.5 quality.
• Coding help — code generation, debugging, code review, refactoring suggestions. Qwen 2.5 Coder and DeepSeek Coder are excellent offline coding models.
• RAG on local documents — combine Ollama with AnythingLLM or Open WebUI to ask questions about your PDFs, notes, and codebase — all offline.
• Writing — email drafts, reports, content, creative writing. Smaller models produce solid first drafts that you can refine.
• Learning — ask questions about any topic. The model's training data covers knowledge up to its cut-off date.

Limitations

Offline AI has real trade-offs. Understanding them helps you choose when to use local and when to go online:

The bridge: offline + cloud

You do not have to choose one or the other. The same OpenAI-compatible API powers both local and cloud AI. Use offline for privacy and zero cost, then switch to Plugsky when you reconnect and need cloud-scale reasoning:

# Offline mode — no internet needed
offline = OpenAI(base_url="http://localhost:11434/v1", api_key="ollama")

# Cloud mode — full access via Plugsky
cloud = OpenAI(base_url="https://api.plugsky.com/v1", api_key="sk-live-...")

# Same code, different base URL and model
resp = client.chat.completions.create(
    model="plugsky-pro" if online else "llama3.2",
    messages=[{"role": "user", "content": prompt}]
)

This pattern works for any app using the OpenAI SDK. Your chat interface, tooling, and automation code stays the same regardless of whether you are offline or connected.

Frequently asked questions