Best AI Apps for Mac (2026)
The best AI apps for Mac are ChatGPT and Claude for cloud assistants, Raycast for AI inside a launcher, and Ollama or LM Studio for running models locally and offline. Each installs with one Homebrew command.
How we pick: apps are ranked on Homebrew availability, active maintenance, pricing, and category fit. Our methodology.
How to choose
- Cloud vs. local. ChatGPT and Claude need the network and often a paid plan for the best models; Ollama and LM Studio run offline on your Mac with no per-token bill. Privacy and cost usually decide this first.
- Where AI should live. Native chat apps are for long conversations and file uploads; Raycast is for short AI actions without leaving your launcher. Match the tool to how often you interrupt your current app.
- CLI comfort for local models. Ollama is simple if you are fine in Terminal; LM Studio gives a GUI for browsing, downloading, and chatting with local models. Neither needs a subscription once the model is on disk.
- 1
ChatGPT
FreeOpenAI’s native Mac app with a launcher shortcut, screen and voice context, and the latest GPT models.
Best for: General-purpose AI assistance
brew install --cask chatgpt - 2
Claude
FreeAnthropic’s native Mac app for long-context reasoning, writing, and coding with file uploads.
Best for: Long-document reasoning and coding
brew install --cask claude - 3
Raycast
FreeA fast launcher with built-in AI commands and quick AI chat woven into your workflow.
Best for: AI inside a launcher
brew install --cask raycast - 4
Ollama
FreeRun open-source LLMs (Llama, Mistral, Qwen) locally and offline through a simple command line.
Best for: Private, offline local models
brew install --cask ollama - 5
LM Studio
FreeA desktop GUI to discover, download, and run local LLMs with a chat UI and a local API server.
Best for: Running local models without the terminal
brew install --cask lm-studio
Who should skip these
If Safari or a free web chat covers the rare prompt you send, a dedicated Mac AI app will not change your workflow. Local runners also need spare RAM and disk — skip Ollama and LM Studio on older Intel Macs or machines already short on memory.