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使用 Homebrew Cask 安装 agentiloop-agent

查看 agentiloop-agent 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

安装

其他安装命令

macOS

Homebrew Cask已验证 · 100%
brew install --cask agentiloop-agent

local Homebrew cask metadata

概览

软件包摘要

Autonomous agent

命令和别名

本地软件包数据库中没有找到可执行别名。

历史

项目历史与用法

Agent! is an open-source, native macOS autonomous-agent harness for coding, shell work, application automation, and MCP tools across numerous local and cloud LLM providers.

项目历史

The official README dates Agent!'s birth to April 1, 2026 and describes it as the product of earlier Mac automation experience spanning AppleScript-era tooling through Swift and modern accessibility APIs.

The application was built as a native Swift/SwiftUI agent rather than an Electron or command-line wrapper. It developed into a multi-provider harness capable of editing code, building Xcode projects, running shell commands, controlling Mac applications, invoking MCP servers, and accepting approved iMessage commands.

采用历史

The project gained early interest as a Mac-specific agent harness and added Homebrew Cask installation alongside downloadable releases. Its README emphasizes a broad provider matrix, local-model support, desktop automation, coding tools, MCP integration, and concurrent sub-agents.

使用方式

Users choose an AI provider in Settings, supply an API key or select a local/on-device provider, optionally choose a project folder, and submit natural-language tasks.

More powerful automation may require macOS Accessibility, Automation, Full Disk Access, or user-approved background-helper permissions. Cloud-provider API keys are stored using the macOS Keychain, but the official documentation does not expose a filesystem credential path.

为什么软件包爱好者会关心

Agent! represents the emerging class of native desktop agent harnesses: it combines bring-your-own-model credentials, local inference, software-development tools, macOS automation, MCP, and privilege-separated helpers in one package. Homebrew Cask makes this otherwise fast-moving GitHub application reproducibly discoverable and installable.

时间线

  • 2026-04-01: The project identifies this as Agent!'s birth date.
  • 2026: Homebrew Cask installation and downloadable GitHub releases were documented in the official quick start.

Related projects

  • Model Context Protocol
  • AppleScript
  • SwiftUI
  • Ollama
  • LM Studio

来源

  • Official README and origin statement: https://github.com/AgentiLoop/Agent#readme
  • Official security architecture: https://github.com/AgentiLoop/Agent/blob/main/docs/SECURITY.md
  • Official technical documentation: https://github.com/AgentiLoop/Agent/blob/main/docs/TECHNICAL.md

安全态势

尚未找到受保护工具覆盖

没有找到 agentiloop-agent 的匹配本地密钥处理 manifest。软件包元数据仍在此发布,以便未来覆盖拥有稳定的软件包 URL。

安装行为

  • formula 元数据中未记录 Homebrew post-install 钩子。
  • 未记录 Homebrew bottle 元数据。

建议审查

在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。

可执行文件

已安装的可执行文件

命令类型暴露范围备注
没有可执行文件数据。

新鲜度

版本和新鲜度

这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。

页面生成时间2026-11-04
管理器版本1.1.97.297
管理器更新时间
本地数据OK
上游not checked
检测到的最新版本未检测到

https://github.com/AgentiLoop/Agent

  • 信息No package-manager update timestamp was available.低 置信度
  • 信息No cached GitHub release or tag data was available.https://github.com/AgentiLoop/Agentnone 置信度

安装元数据

软件包元数据

软件包键cask:agentiloop-agent
版本1.1.97.297
软件包管理器Homebrew Cask
软件包管理器页面https://formulae.brew.sh/cask/agentiloop-agent
主页https://github.com/AgentiLoop/Agent
仓库https://github.com/AgentiLoop/Agent
源码归档https://github.com/AgentiLoop/Agent/releases/download/v1.1.97.297/Agent-v1.1.97.297-macOS.dmg
SHA-2564c8e71076a64cb2320142d1dff448170418017eedcf24938a3ae8972b237c8b8
Bottle未记录
Homebrew post-install未定义
服务未声明

注册表事实

源数据库详情

Source DatabaseHomebrew cask API
Taphomebrew/cask
Full Tokenagentiloop-agent
Names
  • Agent!
  • AgentiLoop Agent!
Depends On
Artifacts
Deprecatedno
Disabledno

来源线索

由仓库数据生成

此页面由 av-web 从 scripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

使用的来源

  • cross-ecosystem install command graph
  • curated package history
  • package relationship graph
  • package version freshness
  • package-page enrichment