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design

Rapid-MLX: Fast Local AI

Get faster AI with Rapid-MLX, a drop-in OpenAI replacement for Apple Silicon. Ideal for founders using Claude Code, Cursor, or Aider, with 3.2k+ GitHub stars.
3,182 stars367 forksPythonQuality 8/10Updated 7/4/2026100% free ยท open source

About this skill

The fastest local AI engine for Apple Silicon. 4.2x faster than Ollama, 0.08s cached TTFT, 100% tool calling. 17 tool parsers, prompt cache, reasoning separation, cloud routing. Drop-in OpenAI replacement. Works with Claude Code, Cursor, Aider.

Topics

apple-silicon
claude-code
cursor
deepseek
fastapi
hacktoberfest
inference
llm
local-llm
m1
m2
m3
macos
mlx
ollama-alternative
openai-api
python
qwen
tool-calling
What's inside โ€” free to inspect
No purchase needed

Read the entire source before you build โ€” unlike paid marketplaces that hide it behind a buy button.

13
top-level files
12
folders
31.2M
repo size
Apache-2.0
license
Key files
.pre-commit-config.yaml
README.md
File tree
.claude/
.github/
bench/
community-benchmarks/
docs/
evals/
examples/
harness/
reports/
scripts/
tests/
vllm_mlx/
.all-contributorsrc
.gitignore
.pre-commit-config.yaml
0.8TODO.md
CONTRIBUTING.md
install.sh
LICENSE
Makefile
mise.toml
pyproject.toml
pytest.ini
README.md
Quick Actions
Details
Creator
raullenchai
Language
Python
Category
design
Published
2/25/2026

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