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使用 Homebrew 安装 omnara

查看 omnara 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已验证 · 100%
brew install omnara

local Homebrew formula metadata

概览

软件包摘要

Talk to Your AI Agents from Anywhere

命令和别名

  • omnara

历史

项目历史与用法

Omnara is a command center for AI coding-agent sessions. Its CLI starts or attaches to agent work in a local project, while the service exposes progress, prompts, diffs, and approvals through web and mobile surfaces.

项目历史

The public GitHub repository was created on July 9, 2025 and describes Omnara as a YC S25 project for talking to AI agents from anywhere. The repository README positions it around Claude Code, Codex CLI, n8n, and similar agents, with a dashboard for real-time visibility and user responses.

The repository is archived, while the product site and documentation describe a broader desktop, CLI, web, mobile, Apple Watch, and sandbox workflow. That split suggests the open repository captured an early public implementation while the service documentation became the stronger source for user-facing behavior.

采用历史

Y Combinator's launch page presents Omnara as an agent command center for terminal, web, and mobile, focused on switching between devices and receiving push notifications when agents need input. The GitHub repository accumulated thousands of stars and hundreds of forks, which is a visible adoption signal for a young AI-agent tool.

Mobile app listings and documentation show the package fitting a 2025-2026 developer workflow: agents perform long-running coding tasks, and the human needs a remote approval and steering layer rather than another model provider.

使用方式

The CLI reference documents `omnara` as the command that starts an agent session in the current directory, with branch-specific startup, Claude Code and Codex checks, login/logout/status commands, a background daemon, process-kill commands, and workspace sync.

The core concepts documentation models usage around workspaces, worktrees, sessions, providers, and local versus sandbox execution. In the default local model, coding work runs on the user's machine while Omnara keeps the session visible and steerable from phone, web, or another machine.

为什么软件包爱好者会关心

Omnara is significant as a packaging example because the CLI is a control plane for other CLIs. It bundles or coordinates agent providers, a daemon, authentication, workspace state, and remote UI rather than being the agent itself.

It also marks the arrival of Homebrew packages whose primary job is human-in-the-loop orchestration for AI coding tools: approvals, diffs, resumed sessions, and remote intervention become packageable developer-tool behavior.

时间线

  • July 9, 2025: the omnara-ai/omnara GitHub repository is created.
  • 2025: Y Combinator's launch page presents Omnara as a command center for AI agents across terminal, web, and mobile.
  • November 9, 2025: GitHub release v1.7.0 publishes Python wheel artifacts for macOS and Linux.
  • 2026: official documentation describes Codex and Claude Code provider support, workspace sync, remote control, and sandbox execution.

Related projects

  • Omnara is adjacent to Claude Code, Codex CLI, n8n, remote-development dashboards, and phone-based approval tools. Its package identity is less like an editor plugin and more like a session broker between local agent processes and remote human attention.

安全态势

风险级别:绿色

narrow executable package without higher-risk signals.

风险分类器

绿色 风险 · 低 置信度 · appliance

原因

  • narrow executable package without higher-risk signals

信号

  • metadata:no-higher-risk-signals

安装行为

  • 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
omnara可执行文件已索引可执行文件从本地可执行文件索引发现。

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2026-08-03
管理器版本1.7.0
管理器更新时间2026-06-22
本地数据未知
上游不可用
检测到的最新版本未检测到
  • OK没有生成新鲜度警告。

安装元数据

软件包元数据

软件包键brew:omnara
版本1.7.0
软件包管理器Homebrew
主页https://omnara.com/
最后更新2026-06-22T14:05:40-07:00
Pulseupdated
Bottle未记录
服务未声明

来源线索

由仓库数据生成

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

使用的来源

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