# Installer rapid-mlx avec Homebrew

Consultez les chemins d'installation, exécutables, métadonnées et notes de sécurité de rapid-mlx pour les workflows d'agents IA.

## installation

```sh
sudo av install brew:rapid-mlx
```

Commandes d'installation supplémentaires:

### macOS

- Homebrew (100%):

```sh
brew install rapid-mlx
```

  Preuve: local Homebrew formula metadata

## Faits du paquet

- **Clé du paquet:** brew:rapid-mlx
- **Gestionnaire de paquets:** Homebrew
- **Version:** 0.11.9
- **Résumé source:** Fast local AI engine for Apple Silicon with an OpenAI-compatible API
- **Page d'accueil:** <https://github.com/raullenchai/Rapid-MLX>
- **Dernière mise à jour:** 2026-08-03T09:11:37Z
- **Généré:** 2026-08-03T19:37:03+00:00

## exécutables

- rapid-mlx (alias)
- rapid-mlx-bench (alias)
- rapid-mlx-chat (alias)
- rmlx (alias)
- vllm-mlx (alias)
- vllm-mlx-bench (alias)
- vllm-mlx-chat (alias)

## Comportement d'installation

- Bouteille: non disponible

## Version et fraîcheur

- page générée: 2026-08-03
- version du gestionnaire: 0.11.9
## Historique du projet et usages

Rapid-MLX is a local inference engine and OpenAI-compatible HTTP server built on Apple's MLX stack for Apple Silicon Macs. It packages model serving, interactive chat, benchmarking, model management, and agent/IDE integration behind the `rapid-mlx` CLI.

### Historique du projet

Development began in early 2026, with the official repository created in February and tagged releases available from March. The package was formerly exposed through `vllm-mlx` command names; those entry points remain as compatibility aliases while current documentation directs new users to `rapid-mlx`.

### Historique d'adoption

Rapid-MLX developed a fast release cadence and first-class integrations for coding agents and Python frameworks. By the 0.10 series it was distributed from PyPI and Homebrew core, while its documentation described dozens of model families, an alias catalog, and reproducible community hardware benchmarks.

### Modes d'utilisation

A typical workflow is `rapid-mlx serve <model-alias>` followed by pointing an OpenAI-compatible client at `http://localhost:8000/v1`. Companion commands provide a terminal chat REPL, downloads and cache management, diagnostics, benchmarks, and setup templates for tools such as Codex, Claude Code, Aider, and Cursor.

### Pourquoi les passionnés de paquets s'y intéressent

Rapid-MLX packages the Apple-Silicon-specific MLX ecosystem into a familiar server-and-CLI interface, reducing model selection to stable aliases and preserving compatibility with the broad OpenAI client ecosystem. Its Homebrew, pip, uv, and self-contained installer paths make local LLM serving accessible without maintaining a bespoke Python environment.

### Chronologie

- 2026-02-25: Official GitHub repository created.
- 2026-03-20: v0.3.0 published, the oldest retained GitHub release.
- 2026: Command branding moved from vllm-mlx to rapid-mlx while compatibility entry points were retained.
- 2026: Version 0.10.12 entered Homebrew core according to the official README.

### Related projects

- Rapid-MLX builds on Apple MLX and MLX-LM concepts, consumes Hugging Face model repositories, offers vLLM-style flags, and acts as a local backend for OpenAI-compatible clients and coding agents.

### Sources

- <https://github.com/raullenchai/Rapid-MLX>
- <https://rapidmlx.com/docs/>
- <https://rapidmlx.com/docs/cli>
- <https://rapidmlx.com/docs/getting-started>


## Notes de sécurité

Aucun manifest local de gestion des secrets correspondant n'a été trouvé pour rapid-mlx. Les métadonnées de paquet Nucleus restent publiées ici afin que la couverture future dispose d'une URL stable.



## Combined YAML source

View the package source record on GitHub. [combined/rapid-mlx.yml](https://github.com/mxcl/pkgdb/blob/main/combined/rapid-mlx.yml)


## Sources

- pkg.so package database
- curated package history
- pkgdb category and tag curation
- cross-ecosystem install command graph