raullenchai/Rapid-MLX
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. observed · 2026-08-28
Health v2 · maintenance only
78/100
- Activity 99
- Release rhythm 87
- Longevity 13
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 0
- age_days: 190
- days_rel: 7
- days_push: 7
- n_releases_24m: 218
Adoption not part of the score
3551 stars · 401 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Rapid-MLX is a local LLM inference engine for Apple Silicon Macs built on MLX, exposing a drop-in OpenAI/Anthropic-compatible API. It offers fast throughput, prompt caching, tool calling, and cloud routing as an Ollama alternative.
Use cases
- run local llm on mac m1 m2 m3
- openai-compatible local inference server
- faster alternative to ollama on apple silicon
- local backend for claude code or cursor
- serve llm with tool calling locally
- self-host llm api on macbook
When to choose
- you want fast local LLM inference on an M-series Mac
- you need an OpenAI-compatible endpoint for coding agents like Claude Code, Cursor, or Aider
- you want prompt caching and reliable tool calling locally
When to avoid
- you need inference on Linux, Windows, or NVIDIA GPUs
- you require a fully permissive license for redistribution (license is non-standard)
- you need multi-node or cluster-scale serving
Facets
service · maturity active
llm-inference http-server api-framework prompt-engineering agent-framework large-language-models artificial-intelligence developer-tools self-hosted python self-hosted cli apple-silicon mlx ollama-alternative openai-compatible-api tool-calling local-llm prompt-cache claude-code cursor macos
3 sources
- readme: https://github.com/raullenchai/Rapid-MLX · fetched 2026-08-28 · efd85f414583
- homepage: https://pypi.org/project/rapid-mlx · fetched 2026-08-29 · 4b4e8fead74a
- registry_pypi: https://pypi.org/pypi/rapid-mlx/json · fetched 2026-08-29 · b755b69a57d5
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| raullenchai/Rapid-MLX | main | 78 |
For agents
markdown · JSON · MCP: product_card(name="raullenchai/Rapid-MLX")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem