macOS
brew install lumelocal Homebrew formula metadata
brew
Prüfe Installationswege, Executables, Metadaten und Sicherheitshinweise für lume in AI-Agent-Workflows.
Installation
brew install lumelocal Homebrew formula metadata
Überblick
Create and manage Apple Silicon-native virtual machines
Verlauf
Lume is the Cua project's Apple-Silicon-focused VM runtime and CLI for creating and managing macOS and Linux virtual machines with Apple's Virtualization Framework.
Lume lives inside the `trycua/cua` repository, which was created publicly in January 2025 as open-source infrastructure for computer-use agents, sandboxes, SDKs, and benchmarks. The Lume README describes it as a CLI and framework for macOS and Linux VMs using Apple's Virtualization Framework.
The official Lume introduction frames the project around agent workloads, CI/CD, and macOS automation. It exposes a single binary with an HTTP API, can create and run VMs headlessly, and is designed to be used directly from the CLI or programmatically through `lume serve`.
Lume's adoption is tied to the rapid growth of computer-use agents and the practical need for reproducible macOS sandboxes on Apple Silicon. The Cua repository accumulated substantial GitHub attention during 2025-2026, and the README positions Lume alongside Cua drivers, sandbox SDKs, and benchmarks as one of the monorepo's core packages.
Homebrew packages the `lume` binary, while upstream docs also advertise install scripts and VM image pull/run workflows. The project is newer than traditional VM managers, so its package history is still forming around AI-agent, local CI, and macOS automation use cases.
The official docs show `lume create test-vm --os macos --ipsw latest` followed by `lume run test-vm`, and the repository README shows pulling and starting a macOS VM image with `lume run macos-sequoia-vanilla:latest`.
Lume is intended for testing across macOS versions, automating macOS tasks, running local CI/CD, sandboxing risky operations, and building AI agents that interact with virtualized desktops through the broader Cua stack.
Lume is significant to package nerds because it packages a native macOS virtualization workflow into a CLI, not a heavyweight desktop app. Its constraints are also unusually concrete: Apple Silicon only, Apple's Virtualization Framework, IPSW-based macOS setup, sparse VM storage, headless operation, registries such as GHCR or GCS, and integration with agent tooling.
Sicherheitslage
formula declares a Homebrew service. infrastructure mutation or orchestration signal.
orange Risiko · mittel Konfidenz · infrastructure
Prüfe vor unbeaufsichtigter Agent-Nutzung, ob das Tool Klartext-Credentials liest, Remote-Zustand schreibt, Artefakte veröffentlicht oder Plugins ausführt.
Executables
| Befehl | Art | Sichtbarkeit | Hinweis |
|---|---|---|---|
lume | cli | globales Executable |
Aktualität
Diese Signale trennen das Alter der Seitengenerierung, Aktivität des Paketmanagers und Upstream-Release-Vergleich. Versionsrückstand wird nur gemeldet, wenn eine Evidenz-URL und vergleichbare Versionen vorhanden sind.
Installationsmetadaten
| Paketschlüssel | brew:lume |
|---|---|
| Version | 0.4.0 |
| Paketmanager | Homebrew |
| Paketmanager-Seite | https://formulae.brew.sh/formula/lume |
| Homepage | https://cua.ai |
| Repository | https://github.com/trycua/cua |
| Upstream-Dokumentation | https://cua.ai/docs/lume/guide/getting-started/introduction |
| Lizenz | MIT |
| Quellarchiv | https://github.com/trycua/cua/archive/refs/tags/lume-v0.4.0.tar.gz |
| Zuletzt aktualisiert | 2026-07-23T18:23:43Z |
| Pulse | updated |
| Bottle | verfügbar (auf arm64_sequoia, arm64_tahoe) |
| Homebrew post-install | nicht definiert |
| Dienst | declared |
Registry-Fakten
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | lume |
| Version Scheme | 0 |
| Revision | 0 |
| Head Version | HEAD |
| Requirements |
|
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
Quellspur
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View the package source record on GitHub.