All free. All local. All private. Every app in this list runs AI models entirely on your Mac's hardware. Your data never leaves your machine. No accounts, no API keys, no subscriptions required.
1. LM Studio -- Best GUI Experience
LM Studio is the most polished desktop app for running local LLMs on Mac. It gives you a ChatGPT-like interface with a built-in model browser, RAM usage indicators, and one-click model downloads from HuggingFace.
- Pros: Beautiful UI, shows RAM requirements before download, built-in model search, OpenAI-compatible API server, conversation history, system prompt customization
- Cons: Closed source, slightly slower than raw Ollama for some models, larger app footprint
- Best for: Users who want a visual, user-friendly experience without touching the terminal
- Install: Download from
lmstudio.ai, drag to Applications, launch and search for any model
2. Ollama -- Best CLI Tool
Ollama is the gold standard for terminal-based LLM management. One command pulls and runs any model. It powers most of the local AI ecosystem -- Open WebUI, Continue.dev, and dozens of other tools connect to Ollama as their backend.
- Pros: Lightning-fast setup, massive model library, OpenAI-compatible API, runs as background service, excellent Apple Silicon optimization
- Cons: No built-in GUI (terminal only), requires comfort with command line
- Best for: Developers, power users, anyone who wants a flexible AI backend
# Install and run your first model in 60 seconds
curl -fsSL https://ollama.com/install.sh | sh
ollama run llama33. Jan -- Best ChatGPT Alternative
Jan is an open-source desktop app that looks and feels like ChatGPT but runs entirely on your Mac. It supports local models via llama.cpp and can also connect to cloud APIs (OpenAI, Anthropic) as a unified interface.
- Pros: Open source (AGPLv3), familiar ChatGPT-like UI, supports both local and cloud models, conversation management, extension system
- Cons: Fewer models available than Ollama, slightly heavier resource usage, extension ecosystem still maturing
- Best for: Users switching from ChatGPT who want a familiar interface with local AI
- Install: Download from
jan.ai, drag to Applications, browse and download models from the built-in hub
4. Open WebUI -- Best Web Interface
Open WebUI provides a web-based ChatGPT-style interface that connects to Ollama running on your Mac. It adds features Ollama lacks: conversation history, user management, RAG (document upload), and web search integration.
- Pros: Rich web UI, RAG support (chat with your documents), multi-user support, web search integration, voice input, markdown rendering
- Cons: Requires Ollama running separately, Docker setup can be complex, uses more system resources
- Best for: Teams or users who want the richest feature set with document interaction
# Requires Ollama running first
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:main5. MLX -- Best Raw Performance
Apple's own ML framework, MLX, is not an app -- it is a Python library that delivers the fastest possible LLM inference on Apple Silicon. If you care about maximum tokens per second, MLX is the answer.
- Pros: 20-50% faster than llama.cpp on Apple Silicon, leverages Neural Engine on M5, native Metal GPU optimization, supports fine-tuning
- Cons: Command-line only, requires Python knowledge, no built-in chat interface, smaller model library than Ollama
- Best for: ML engineers, researchers, anyone who prioritizes speed above all else
pip install mlx-lm
mlx_lm.generate --model mlx-community/Qwen3.5-30B-A3B-4bit \
--prompt "Explain quantum computing" --max-tokens 5006. GPT4All -- Best for Documents
GPT4All focuses on document-aware AI. Its standout feature is LocalDocs -- point it at a folder of PDFs, text files, or code, and it builds a local knowledge base the AI can reference during conversations.
- Pros: LocalDocs (RAG built-in), clean desktop UI, no technical setup, works offline, cross-platform
- Cons: Fewer model options than LM Studio, slightly less polished UI, document indexing can be slow on large collections
- Best for: Professionals who want to chat with their documents -- lawyers, researchers, analysts
- Install: Download from
gpt4all.io, drag to Applications, enable LocalDocs and point to your document folders
7. Enchanted -- Best iOS Companion
Enchanted is a native iOS/iPadOS app that connects to Ollama running on your Mac. It turns your iPhone into a private AI assistant powered by your Mac's hardware over your local network.
- Pros: Native iOS app (smooth, fast), connects to your Mac's Ollama server, private (data stays on your network), supports all Ollama models, voice input
- Cons: Requires Ollama running on your Mac, only works on the same network, no standalone local processing on iPhone
- Best for: iPhone/iPad users who want to access their Mac's local AI from anywhere in their home or office
- Install: Download Enchanted from the App Store, enter your Mac's local IP and Ollama port (default: 11434)
Quick Comparison
Choosing the right app depends on your priorities. Here is the summary:
- Want the easiest start? LM Studio
- Want maximum flexibility? Ollama
- Switching from ChatGPT? Jan
- Need document chat? GPT4All or Open WebUI
- Want maximum speed? MLX
- Want AI on your iPhone? Enchanted + Ollama
For detailed comparisons between LM Studio and Ollama specifically, see our LM Studio vs Ollama deep-dive. And for a full list of local AI software with compatibility ratings, visit our software directory.