# Installer magpie avec Homebrew Cask Consultez les chemins d'installation, exécutables, métadonnées et notes de sécurité de magpie pour les workflows d'agents IA. ## installation ```sh sudo av install cask:magpie ``` Commandes d'installation supplémentaires: ### macOS - Homebrew Cask (100%): ```sh brew install --cask magpie ``` Preuve: local Homebrew cask metadata ## Faits du paquet - **Clé du paquet:** cask:magpie - **Gestionnaire de paquets:** Homebrew Cask - **Page du gestionnaire de paquets:** - **Version:** 0.1.2900 - **Résumé source:** Model gateway for AI coding agents - **Page d'accueil:** - **Dépôt:** - **Docs amont:** - **Archive source:** - **Généré:** 2026-11-04T12:20:42+00:00 ## Comportement d'installation - hook post-installation: non défini - Bouteille: non disponible ## Version et fraîcheur - page générée: 2026-11-04 - version du gestionnaire: 0.1.2900 - données locales: OK - dépôt amont: https://github.com/yetone/magpie-releases - info: No package-manager update timestamp was available. - info: No cached GitHub release or tag data was available. ## Historique du projet et usages magpie is a local model gateway and configuration hub that lets multiple AI coding agents use models from subscriptions, API vendors, compatible endpoints, and local runtimes. ### Historique du projet magpie was developed as an open-source local model gateway and configuration application for AI coding agents. The project combines a desktop interface, terminal operation, and a loopback gateway listening by default on 127.0.0.1:3425. ### Historique d'adoption magpie supports macOS, Windows, and Linux and recognizes a growing range of coding agents, including Claude Code, Codex, Gemini CLI, OpenCode, Goose, Cursor CLI, and Copilot CLI. It also integrates subscription accounts, API-key providers, compatible endpoints, Ollama, and LM Studio. ### Modes d'utilisation Users add subscription accounts, provider API keys, or local endpoints once, then select a model or routing group for each detected coding agent. magpie updates that agent's native configuration and serves requests through its local gateway. The application can remain in the tray, run only the gateway, or install a launchd or systemd service. New agent sessions pick up model changes after their configuration is rewritten. ### Pourquoi les passionnés de paquets s'y intéressent magpie addresses the increasingly fragmented configuration layer around AI coding agents. Instead of configuring each agent independently for every model provider, users maintain providers and routing centrally while magpie writes narrowly scoped entries into each agent's native configuration. Its local OpenAI-, Anthropic-, and Gemini-compatible gateway makes otherwise incompatible agents and model providers interoperable, while routing groups support multiple accounts, fallback, quota-aware selection, and intent-based routing. ### Chronologie - Initial direction: magpie unified model selection and provider setup for coding agents behind a local gateway. - Current project: The application supports desktop, terminal, tray, daemon, and browser-oriented operation across macOS, Windows, and Linux. ### Related projects - Claude Code, Codex, Gemini CLI, OpenCode, and other coding agents can be configured to send requests through magpie. - Ollama and LM Studio can supply locally hosted models to magpie without API keys. ### Sources - - - - ## Notes de sécurité Aucun manifest local de gestion des secrets correspondant n'a été trouvé pour magpie. Les métadonnées de paquet restent publiées ici afin que la couverture future dispose d'une URL stable. ## Configuration and credential file locations These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval. ## Configuration files - Unix: ~/.config/magpie/settings.json - Windows: ~/.config/magpie/settings.json ## Credential files - Unix: ~/.config/magpie/providers.json - Windows: ~/.config/magpie/providers.json ## Détails de la base source - **Source Database:** Homebrew cask API - **Tap:** homebrew/cask - **Full Token:** magpie - **Names:** magpie - **Depends On:** Macos: >=: 12 - **Artifacts:** App: 1, Target: 1, Zap: 1 - **Auto Updates:** yes - **Deprecated:** no - **Disabled:** no ## Liens liés - [Homebrew Cask packages](https://pkg.so/fr/homebrew-cask-packages/) - Generated from Homebrew Cask package-manager metadata. - [Homebrew Cask applications](https://pkg.so/fr/homebrew-cask-applications/) - Cask artifact metadata includes an app bundle. - [ollama](https://pkg.so/fr/brew/ollama/) - Use Ollama to run open models locally, then add it as an on-machine provider in magpie so coding agents can reach those models through magpie's gateway. Sources: · - [lm-studio](https://pkg.so/fr/cask/lm-studio/) - LM Studio can serve downloaded local models through compatible APIs, while magpie exposes those models to its configured coding agents as an on-machine provider. Sources: · ## Combined YAML source View the package source record on GitHub. [combined/magpie.yml](https://github.com/mxcl/pkgdb/blob/main/combined/magpie.yml) ## Sources - package-page enrichment - curated configuration and credential file locations - curated package history - package version freshness - package relationship graph - cross-ecosystem install command graph