Do Claude Code or Codex have a dashboard? What to use instead
A plain-English answer for founders: both are mainly terminal and editor tools, so neither centres on a traditional dashboard. Here are the official web surfaces and the practical options people use to see and track agent work.
If you've started using Claude Code or OpenAI Codex and gone looking for a dashboard, a single screen that shows everything the agent is doing, you may have come up empty. That's expected. Both tools were built to work where developers work, in the terminal and the editor, not as a web console. This guide explains what each does offer, and the simple setups founders use instead to keep an overview.
Why there isn't a classic dashboard
Claude Code and Codex are coding agents. They read a project, make changes, run commands and work through a task, and the natural home for that is the command line and the code editor. A traditional dashboard, the kind with charts and status tiles, isn't the point of either tool; the point is to get work done inside your project. So the honest first answer to "where's the dashboard?" is that the tool itself is mostly the terminal and editor, and the overview is something you assemble around it.
Both makers do offer web surfaces as well, and those are worth knowing about before you build your own workarounds.
The official web surfaces
As of November 2026, each tool has a browser-based option in addition to the terminal and editor. Treat the details below as a pointer, not a spec: these surfaces are updated often, so check each company's official documentation for exactly what's available and how it behaves today.
Claude Code on the web
Anthropic offers a way to use Claude Code on the web, giving you a browser surface rather than only the terminal and editor. What it shows and lets you do is best confirmed in Anthropic's own Claude Code documentation, since web features move quickly. It's useful to know it exists, but don't assume it behaves like a full operations dashboard.
Codex cloud tasks in ChatGPT
OpenAI offers Codex cloud tasks you can start and review inside ChatGPT on the web. That gives you a place to kick off a longer job and come back to check it, which is closer to "review later" than to a live control panel. As with Claude Code, confirm the current behaviour in OpenAI's official Codex documentation before you rely on it.
The takeaway: both have grown web surfaces, but neither replaces a real record of what happened across all your work. For that, most founders combine a few simple habits.
What to use instead
If the goal is to see what the agent is doing and keep a trail you can trust, these four options cover most needs. You can mix them; none requires a new product.
1. Terminal multiplexing
If you run more than one agent session at a time, a terminal multiplexer such as tmux lets you keep several sessions side by side in one window, switch between them and leave long jobs running. It's the closest thing to a "live view" of multiple agents at once. The limit is that it shows the present moment, not a durable record; close the session and the overview goes with it.
2. Git and pull requests as the record
For coding work, your version control history is the best dashboard you already own. Commits show what changed and when; pull requests show why, and give you a natural place to review and approve before anything merges. If you make the agent work in small, reviewable changes, your git history becomes a reliable timeline of everything it did, readable long after the session is gone.
3. A simple task log
Not everything lands in git. A short, shared log, one line per job with who asked for it, what it was and its status, captures research, drafts and routines that version control won't. It sounds basic, but a single list of what's in flight is often the missing piece when work is spread across a terminal, a browser tab and your memory. Our guide on managing multiple AI agents builds this habit out.
4. A company OS
The options above are records of individual jobs. A company operating system aims one level up: one place to see every agent, what each is working on, what's waiting for your approval and what shipped, across tools and labs. That's the gap a product like Plenarly is being built to fill. For what that overview should contain, see our note on what an AI agent dashboard should show.
Check the official docs first
Because both tools ship changes often, the single most useful habit is to read the maker's current documentation before you decide a feature does or doesn't exist. What's true of a web surface this month may be expanded next month. Anchor anything time-sensitive to "as of" a date, confirm it against the official page, and don't treat a third-party article, including this one, as the final word on what the tool can do today.
The real question behind "where's the dashboard?"
When founders ask for a dashboard, they usually don't want charts. They want three answers: what did the agent do, does anything need my approval, and where's the record if I need it later? A single coding tool, however good, answers that only for its own work. Once you're running several agents, maybe a coding agent plus something like Grok Bot for other jobs, the overview has to live above any one tool. That's a company question, not a tool question, and it's worth separating the two when you shop for a "dashboard."
If you're weighing two coding agents while you're at it, our comparison of Claude Code vs Codex covers what each is, where it runs and how you pay.
Where Plenarly fits
Plenarly is being built as the operating system for AI-run companies: one place where founders and small teams connect their AI agents from any lab, approve their work, and manage the apps those agents build. It works with Grok Bot first, and support for coding agents such as Claude Code and Codex is planned, not live, so Plenarly is not a dashboard for those tools today.
Plenarly is pre-release and early access is by invitation. If you already run agents on real work and want one place to see and approve it, you can request early access. For plain facts on what it is and isn't yet, see What Plenarly is and isn't.
Frequently asked questions
Does Claude Code have a dashboard?
Claude Code is primarily a terminal and editor tool, so it does not centre on a traditional dashboard the way a web app does. As of November 2026 Anthropic also offers a way to use Claude Code on the web, which gives a browser surface for some work. Web surfaces and their features change, so check Anthropic's official Claude Code documentation for exactly what is available today. If what you want is an overview of what the agent did and what needs review, that usually comes from how you set up your own records rather than from the tool itself.
Does OpenAI Codex have a dashboard?
Codex is also mainly a command-line and editor tool rather than a dashboard-first product. As of November 2026 OpenAI offers Codex cloud tasks that you can start and review inside ChatGPT on the web, which acts as a place to kick off and check longer jobs. These surfaces change over time, so confirm the current setup in OpenAI's official Codex documentation. For a running record across jobs, most people lean on git history and task notes rather than the tool's own views.
How do I keep track of what a coding agent did?
The most reliable record for coding work is the one you already have: version control. Commits and pull requests show what changed, when and why, and a review step gives you a natural approval gate. On top of that, a simple task log, even a shared document listing each job, who asked for it and its status, covers the work that does not land in git. Terminal multiplexers such as tmux help you watch several sessions at once, but they are a live view, not a record.
Can Plenarly act as a dashboard for Claude Code or Codex?
Not yet. Plenarly is being built as the operating system for AI-run companies, one place to see and approve agents' work, and it works with Grok Bot first. Support for coding agents such as Claude Code and Codex is planned, not live. Plenarly is pre-release and early access is by invitation.
Sources
- Anthropic, "Claude Code overview," Claude Code Docs. Describes Claude Code as available in the terminal, IDE, desktop app and browser. Features change; checked Nov 2, 2026. https://code.claude.com/docs/en/overview
- OpenAI, "Codex," OpenAI developer docs. Describes the Codex CLI, IDE extension, cloud and use inside ChatGPT on the web. Features change; checked Nov 2, 2026. https://developers.openai.com/codex/
- Plenarly, "AI agent dashboard: what it should show." The overview founders actually need when running agents from different labs. https://www.plenarly.com/ai-agent-dashboard/