Agent View in Claude Code

1. The problem Agent View solves

Managing a single Claude Code session is straightforward: you open a terminal, start the session, give it a task. The challenge emerges when you start running multiple sessions — which is increasingly the right way to use Claude Code for significant development work. Terminal windows multiply. Each one has its own conversation history, its own state, its own pending task. Remembering what you told which session to do, which ones are still running, and which ones have completed and need review requires mental overhead that distracts from actual thinking about the work.

This is the problem Agent View addresses. It is a dedicated interface within Claude Code that gives you a single, unified view of all your active sessions. Instead of navigating across terminal windows or keeping a personal notes file about what each Claude process is doing, you have one dashboard that shows every session’s current state, recent activity, and whether it requires your attention.

The need for this kind of interface only becomes obvious once you have tried running three or four sessions simultaneously and experienced the friction of managing them ad hoc. At one session, mental state is manageable. At two, it requires mild attention. At three or four, the overhead of tracking state across all sessions starts to compete meaningfully with the cognitive work you are trying to do. Agent View eliminates that overhead by making session state visible and persistent in a structured interface rather than something you have to remember or track externally.

Beyond reducing cognitive load, Agent View also creates a more natural rhythm for parallel work. When all your sessions are visible in one place, checking on progress and transitioning between tasks becomes a quick, low-friction action rather than an interruption that requires you to find the right window, scroll through conversation history, and re-orient yourself. The lower the friction of checking in, the more confidently you can delegate tasks and let agents run without watching them.

2. What Agent View shows you

The core display in Agent View is a list of sessions, each showing the repository or project it is operating in, a description of the current task, the session’s status (actively working, waiting for your input, or complete), and the timestamp of the most recent activity. This information is enough to answer the most common monitoring questions at a glance: what is Claude working on right now, does anything need my attention, and what has been completed since I last checked?

Status is particularly important because it determines what action (if any) you need to take. An active session is working autonomously and does not need your attention — let it run. A needs input session has reached a decision point where it cannot proceed without your guidance; clicking into it lets you provide the necessary context or direction. A complete session has finished its assigned task and has output ready for your review.

The ability to click into any session and get the full conversation history and agent output is what makes Agent View useful rather than just informational. A dashboard that shows you status but requires you to navigate to a separate terminal to act on that status still has meaningful friction. In Agent View, you go from seeing that a session needs your input to providing that input in one click, without context-switching to a different application or hunting for the right terminal window.

3. Plan availability and access

Agent View is available across all paid Claude plans: Pro, Max, Team, Enterprise, and the Claude API. This breadth of availability signals that Anthropic sees multi-session parallel work as a standard use pattern for Claude Code users, not a niche capability for enterprise customers. The inclusion of the API plan is particularly relevant for developers who are building automated workflows on top of Claude Code programmatically — Agent View gives them visibility into those sessions alongside any manual sessions they have running.

The “research preview” status means a few practical things. First, the feature is stable enough to use for real work, but the interface may change significantly based on user feedback. Second, Anthropic is actively interested in how people are using it and what they find useful or frustrating — feedback sent during this period is likely to have genuine influence on the final design. Third, some edge cases and rough edges should be expected; report bugs when you encounter them rather than assuming they are expected behavior.

Plan availability also determines session limits. The number of simultaneous sessions you can run in Agent View may vary by plan — check the Claude Code documentation for current limits. Higher plans typically support more concurrent sessions, reflecting the reality that enterprise teams have more simultaneous workstreams.

4. Building your multi-session workflow

The mechanical ability to run multiple sessions is only valuable if you have a workflow that uses that capability effectively. The most common mistake is treating parallel sessions like parallel terminals — starting several conversations and switching between them constantly rather than letting agents work autonomously while you do something else.

The productive multi-session workflow has three phases: assignment, async work, and review. In the assignment phase, you think through the work that needs to happen, break it into independent tasks, write clear briefs for each task, and start sessions for each one. This phase requires focused thinking — it is the most cognitively demanding part of parallel work because you are planning rather than reacting. In the async work phase, you step away from the sessions and do something else: think, plan, review earlier work, or handle other responsibilities. Agent View’s notification-like status indicators let you do quick check-ins without deep engagement. In the review phase, you go through each completed session, evaluate the output, provide feedback or corrections, and either mark the task as done or assign follow-up work.

This rhythm creates natural boundaries around deep work and shallow monitoring. The assignment and review phases require your full attention; the async phase does not. If you structure your day around this rhythm — assign work in the morning, do your own thinking during the day, review outputs in the afternoon — you can have several agents working productively without fragmenting your attention across all of them.

🧠 Check your understanding

4 questions · your answers are saved in this browser only

1. 1. What problem does Agent View specifically solve in the Claude Code multi-session workflow?

   It makes individual Claude Code sessions run faster It eliminates the cognitive overhead and friction of tracking multiple simultaneous sessions scattered across terminal windows It automatically assigns tasks to the best available agent based on the task type It provides code review functionality for agent outputs before they are committed

   Agent View solves the session management problem that emerges when running multiple parallel Claude Code sessions — tracking what each session is doing, which ones need attention, and which are complete — by providing a unified dashboard rather than requiring you to manage state mentally or across multiple terminal windows.

2. 2. Which session status in Agent View requires immediate action from you?

   Active — the agent is currently working Complete — the agent has finished its task Needs input — the agent has reached a decision point and cannot proceed without your guidance Queued — the agent is waiting for compute resources

   'Needs input' is the status that requires immediate attention — the agent has encountered an ambiguity or decision point it cannot resolve autonomously. 'Active' means let it run; 'Complete' means review when convenient; 'Queued' is a waiting state that resolves automatically.

3. 3. On which subscription plans is Agent View available?

   Enterprise and Team plans only Max and Enterprise plans only All paid plans: Pro, Max, Team, Enterprise, and Claude API Claude API plan only, not consumer plans

   Agent View is available on all paid plans — Pro, Max, Team, Enterprise, and Claude API. The broad availability signals that parallel multi-session work is considered a standard use pattern for Claude Code, not a niche enterprise capability.

4. 4. What are the three phases of an effective multi-session workflow with Agent View?

   Configure, execute, deploy Assignment (plan and start tasks), async work (step back and let agents run), review (evaluate outputs and assign follow-up) Research, prototype, test Write, commit, push

   The three phases are assignment (break work into independent tasks, write briefs, start sessions), async work (step away and do other things while agents run), and review (evaluate completed outputs, provide corrections, assign follow-up). This rhythm creates natural boundaries between deep focus and session management.

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🛠️ Build it yourself

Follow these exact steps to reproduce it yourself

1. Update Claude Code to the latest version — Agent View was added in the May 2026 update. Run claude --version to check your version and update if needed.
2. Open Agent View — In the Claude Code desktop app, use the sidebar navigation to find the Agent View panel. In CLI-only setups, Agent View may be accessible via the web interface at claude.ai/code.
3. Run a familiar task as your first parallel session — Start with a task you have done before with Claude Code, so you can evaluate the output quality easily. Let it run while you do something else — resist watching it work.
4. Start a second session on an independent task — While the first session runs, assign a second independent task. Verify it has started correctly, then return to what you were doing before.
5. Use Agent View to monitor without engaging — Check Agent View periodically (every 15-30 minutes) rather than watching sessions continuously. Look for “needs input” or “complete” status changes.
6. Develop your task decomposition skill — The quality of your parallel workflow depends entirely on how well you break large projects into independent tasks. Practice writing one-paragraph task briefs that are specific enough for Claude to work autonomously.
7. Send feedback during the research preview period — Agent View is a research preview. Use the in-app feedback mechanism to report any friction points, missing information, or workflow issues you encounter.