raullenchai/Rapid-MLX
Rapid-MLX is an open-source (Apache 2.0) OpenAI- and Anthropic-compatible LLM inference server for Apple Silicon, built on MLX, focused on reliable tool calling for coding agents. Up to 4× faster than
- Stars
- 4.0k
- Forks
- 436
- Open issues
- 22
- Last push
- today
About Rapid-MLX
Rapid-MLX is a free, open-source AI agent tool by raullenchai, written mainly in Python. Rapid-MLX is an open-source (Apache 2.0) OpenAI- and Anthropic-compatible LLM inference server for Apple Silicon, built on MLX, focused on reliable tool calling for coding agents. Up to 4× faster than. It has 4.0k GitHub stars and 436 forks, and was last updated today. GitHub doesn't detect a standard license, so check the repository before using it commercially. According to the project, it works on macOS.
- License
- Not detected
- Language
- Python
- Stars
- 4,014
- Last update
- today
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Yes
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Rapid-MLX FAQ
Is Rapid-MLX free?
Yes. Rapid-MLX is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does Rapid-MLX run on a Mac?
Yes. According to the project, Rapid-MLX works on macOS.
Does Rapid-MLX need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Rapid-MLX still maintained?
Yes. It was last updated today and has 22 open issues on GitHub.
What are alternatives to Rapid-MLX?
Similar free, open-source tools include hermes-agent, ECC, ponytail, claude-code-best-practice.