Claude Code introduces Agent View: Manage all AI agents in one screen, ending multi-terminal chaos

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Anthropic officially launched Claude Code Agent View on the 11th, an integrated CLI console that allows developers to launch, monitor, and respond to multiple AI agent sessions within a single interface. Agent View attempts to consolidate this cluttered mental ledger into a single CLI screen. Managing five or more concurrent AI agents previously meant five terminal tabs and a task-tracking system reliant on memory. As the number of AI agents expands from one to ten or twenty, cognitive load becomes the bottleneck rather than compute power itself. Before the launch of Agent View, Claude Code’s multi-agent workflow relied on developers to organize it themselves: running different tasks in multiple terminal windows, switching manually, and remembering the progress status of each window. This pattern gradually spiraled out of control once the number of tasks exceeded three or four. The core operational logic of Agent View is to collect all sessions into a visual list. Developers can open this console by pressing the left arrow key in any session or by executing `claude agents` directly in the terminal. Each row in the list displays four pieces of information: the name of the session, whether it is waiting for user input, a summary of the last response, and the time of the last interaction. The "waiting for input" field is also critical. In the past, if an agent was stuck waiting for a decision, developers would have no way of knowing which task had stalled without manually checking every terminal periodically. Agent View surfaces this information to the most prominent position, turning multi-agent scheduling into an experience similar to managing a kanban board. Another design focus of Agent View is the background execution mechanism. Developers can use the `/bg` command on any existing session to push it to the background, or use `claude --bg [task description]` when starting a brand-new task to skip the foreground interface and let the agent execute without occupying attention. The business logic behind this design is quite clear: the longer and more complex AI agent execution becomes, the more developers need a mechanism that doesn't require constant monitoring. The usage patterns of early Anthropic users confirm this assessment, with actual users identifying four high-frequency scenarios: First, massive parallel dispatch. Launching multiple tasks simultaneously, each with different skills, and returning to the list after the agents finish to browse the list of ready Pull Requests. Second, long-term task management. For recurring tasks such as PR monitoring or dashboard auto-updates, Agent View directly displays the next execution time for these agents. Third, rapid switching between sessions. Pressing the left key during an ongoing task to quickly open a sub-task or code query, then using the right key to return to the main thread upon completion. The Peek feature allows answers to be seen at a glance when they arrive, without needing to switch focus. Fourth, tracking delivered results. The status indicators on the list, combined with the Peek title preview, allow developers to quickly scan which sessions have produced PRs. These four modes point to the same requirement: as AI agents graduate from auxiliary tools to semi-autonomous executors, the developer's work shifts from "writing code" to "scheduling agents," and scheduling requires a dashboard, not a row of terminals. Agent View is currently available as a Research Preview for Pro, Max, Team, Enterprise, and Claude API paid plans, subject to standard rate limits. Official technical documentation has been released simultaneously. The number of agents is no longer the problem; the cost of managing them is. Agent View is shifting this cost away from the developer's attention ledger.

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