複数のAIエージェントを1画面にまとめるターミナルマルチプレクサ「herdr」herdr is a terminal multiplexer that aggregates the status of multiple AI…
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herdrは、Claude CodeやCursorなど複数のAIコーディングエージェントの状態を1つのターミナル画面で一元管理できるマルチプレクサで、承認待ちや作業完了の確認に伴う画面切り替えの手間を解消する。
herdr is a terminal multiplexer that aggregates the status of multiple AI coding agents—such as Claude Code and Cursor—into a single screen, eliminating the need to switch between apps to check which agent is idle or awaiting approval.
要約と収集メタデータをもとに生成した AI 解説本文です。元記事全文の転載・翻訳ではありません。This AI explainer is generated from the summaries and collected metadata, not from a reproduction or translation of the full source article.
複数のAIコーディングエージェントを同時に走らせる開発スタイルが広がるなか、それぞれの作業状況を一つの画面で把握できるターミナルマルチプレクサ「herdr」が紹介されている。Claude CodeやCursor、Codexといった複数のエージェントを並行して使う際に生じる「確認の往復」を解消することを狙ったツールだ。
背景には、AIエージェントを複数同時に動かす運用が広がりつつある事情がある。各エージェントは独立したアプリやセッションとして動くため、どれがすでに作業を終えているのか、どれがユーザーの承認待ちで止まっているのかは、それぞれを開いて確認するまで分からない。エージェントが増えるほど、この画面の切り替えとステータス確認の手間は積み重なっていく。
そもそもターミナルマルチプレクサとは、一つのターミナル画面を複数のペインやウィンドウに分割し、複数のセッションをまとめて扱えるようにするソフトウェアだ。tmuxやGNU Screenが代表例で、接続が切れてもセッションを維持できる点などから、サーバー運用や長時間の作業で広く使われてきた。
herdrはこの仕組みを踏まえつつ、AIコーディングエージェントの状態を認識できる点を特徴として打ち出している。承認待ちなのか、作業完了なのか、実行中なのかといったエージェント固有の状態を一画面に集約することで、アプリを一つずつ開いて確かめる往復をなくすアプローチだと見られる。
こうしたツールが登場する前提には、近年のAIコーディングエージェントの進化がある。Claude CodeやCursor、OpenAIのCodexなどは、コード生成にとどまらず、ファイル編集やコマンド実行を半自律的に進め、要所でユーザーの承認を求めて停止する。開発者が複数のエージェントに並行してタスクを任せる場面が増えるほど、それ
Developers who have adopted AI coding assistants increasingly find themselves running several of them at once, and a tool called herdr aims to make that fragmented workflow easier to manage. Described as a terminal multiplexer that is aware of the state of AI coding agents, herdr gathers tools such as Claude Code, Codex, and Cursor onto a single screen so a developer can see at a glance which agent is still working, which has finished, and which is paused waiting for approval.
The problem it targets will be familiar to anyone using more than one agent in parallel. Each agent typically runs in its own window or application, so the only way to check progress is to open them one at a time. Because these tools operate asynchronously, an agent may have completed its task several minutes ago, or it may be stalled on a prompt asking permission to run a command or modify a file. Until you switch to that specific window, you cannot tell the two situations apart. herdr is designed to collapse that repeated cycle of opening, checking, and closing windows into a single view, reducing the context switching that comes with juggling multiple assistants.
To understand what herdr does, it helps to know what a terminal multiplexer is. A multiplexer lets a single terminal window host multiple independent sessions, usually presented as split panes or switchable tabs, and it keeps those sessions alive even after you disconnect from them. The two best-known examples are tmux and GNU Screen, long-standing utilities that developers and system administrators use to run several shells side by side, monitor long-running processes, or maintain persistent remote sessions over SSH. herdr appears to apply that same foundational idea, but with an added layer: rather than treating each pane as an anonymous shell, it recognizes when a pane is running an AI coding agent and surfaces that agent's status.
That status awareness is the distinguishing feature. Where a conventional multiplexer shows you the raw output of each session and leaves interpretation to you, herdr is positioned to read whether an agent is idle, actively generating, or blocked awaiting a human decision. For teams and individuals who route work across multiple agents, this is potentially the difference between actively supervising a fleet of assistants and passively waiting on them. The tool does not appear to replace the underlying agents or change how they operate; it acts as a coordination surface layered on top of them.
The context for a tool like this is the rapid proliferation of command-line and terminal-based AI coding agents. Claude Code is Anthropic's agentic coding tool that runs in the terminal, Codex is associated with OpenAI's coding models and CLI tooling, and Cursor is widely known as an AI-centric code editor that has expanded into terminal and command-line workflows. Each can be given a task and left to work semi-autonomously, editing files, running tests, and requesting confirmation before taking sensitive actions. As developers combine several of these to parallelize work, the overhead of monitoring them individually grows, which is the gap herdr is trying to fill.
This also reflects a broader pattern in developer tooling, where orchestration and observability layers tend to emerge once a category of underlying tools becomes crowded. Just as tmux and Screen became standard glue for managing many shells, and just as dashboards arose to monitor sprawling microservices, herdr represents an attempt to provide a control plane for multiple AI agents. Whether it becomes a durable part of workflows will likely depend on how reliably it detects agent state across different tools and how well it integrates with the terminal habits developers already have.
For now, herdr is best understood as a focused response to a concrete pain point rather than a sweeping new platform. If you are running only a single agent, a traditional multiplexer or even a plain terminal may be sufficient. But for those coordinating Claude Code, Codex, Cursor, and similar tools simultaneously, the promise of consolidating their statuses into one screen addresses a real and growing source of friction.
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