by dmitryryabkov · Agent Tool · ★ 45
Running (and coding with) Local AI on a Mac This is a comprehensive guide on how to run AI models and coding agents locally on a Mac. I gathered various bits and pieces of information scattered across the internet into a single resource. If you have a spare Mac lying around, you can turn it into an “LLM server” and use it instead of paying for OpenAI, Claude, etc. You’ll need a decent amount of RAM for this to work. Around 32GB is where things start getting interesting.
| Stars | 45 |
| Forks | 2 |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 57.1620626204335/100 |
| Last Updated | 2026-06-13 |
| Created | 2026-04-02 |
| Platforms | claude-code |
| Est. Tokens | ~23k |
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local-ai-mac is Practical guide to running LLMs locally on Apple Silicon, with a focus on architecture, memory scaling, and agent workflows.. It is categorized as a Agent Tool with 45 GitHub stars.
You can find installation instructions and usage details in the local-ai-mac GitHub repository at github.com/dmitryryabkov/local-ai-mac. The project has 45 stars and 2 forks, indicating an active community.
local-ai-mac is released under the MIT license, making it free to use and modify according to the license terms.