OpenClaw Mission Control: Free Dashboard Walkthrough

Julian Goldie — founder, AI Profit Boardroom
By Julian Goldie · 7 min read
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OpenClaw Mission Control is the free dashboard that finally gives you a live view of every AI agent you have running. If you've been running OpenClaw with no idea what your agents are doing, this is the tool that fixes the visibility gap.

This post covers what OpenClaw Mission Control is, the dashboard features, how to install it (5-minute setup), and why it beats other OpenClaw dashboards.

The Quick Pitch

OpenClaw Mission Control is a free open-source dashboard that's basically air traffic control for AI agents. You see every agent, every task, and every action in real time on one screen.

That's the whole pitch, and it solves a real problem that most OpenClaw users have been dealing with quietly for months.

Who Built It

Built by Builder Labs, free and open source, released specifically for OpenClaw users who want better visibility into what their agents are actually doing.

What The OpenClaw Mission Control Dashboard Shows

Out of the box you get a comprehensive view of your OpenClaw setup.

System health covers gateway status, database uptime and size, active sessions count, agents online, tasks running, errors in the last 24 hours, and backup pipelines status. Recent logs give you a live feed of what your agents are doing right now. Sessions show which agents are connected and what they're working on.

For OpenClaw users who've been flying blind, this is the visibility you need.

Why You'd Use This

Three reasons Mission Control earns its install time.

The first is to stop flying blind. Most OpenClaw users have no idea what their agents are doing in real time, and Mission Control fixes that. The second is catching errors fast. If an agent fails, you see it in the dashboard immediately rather than wondering hours later why nothing's happening. The third is managing at scale. If you run multiple agents, you need a dashboard — without one, complexity wins and things break in ways you can't diagnose.

How To Install (5 Minutes)

Genuinely simple, in five steps.

Step one is getting the GitHub link from the Mission Control GitHub by Builder Labs. Step two is opening OpenClaw using your existing setup, or following Build Your Own OpenClaw if you don't have one. Step three is asking OpenClaw to install it — in OpenClaw chat, type "Set this up: [paste GitHub link]" and OpenClaw installs Mission Control in roughly 2-5 minutes. Step four is getting your login and API key, which OpenClaw provides along with the dashboard URL. Step five is opening the dashboard in your browser, logging in, and you're in.

🔥 Want my full Mission Control playbook? Inside the AI Profit Boardroom, I share my Mission Control setup, agent squad templates, and 30-day road map. Plus 6-hour OpenClaw course and weekly live coaching where you can share your screen for help. 3,000+ members. → Get the playbook

Beyond The Dashboard: Other Features

Mission Control isn't just a dashboard — it ships with several features that make it a real management surface.

The Agent Squad feature lets you add and manage multiple AI agents to build a team with an Orchestrator, Developer, Content Creator, and Researcher. For each role there are recommended models (Haiku for fast, Sonnet for medium, Opus for complex). The Task Board provides Kanban-style task management where you assign tasks to OpenClaw agents and move them through Backlog, To Do, In Progress, Review, and Done columns — like Trello but for AI agents.

Session Management shows all sessions, models in use, and token consumption per session. Token Usage shows total tokens used over time and distribution by agent, which is genuinely useful for cost monitoring. The Memory Browser lets you explore OpenClaw's knowledge files and memory structure, see all your skills, MD files, and folders, and add new files directly. Scheduled Jobs handles managing scheduled tasks and adding new ones. Agent Spawn Control lets you manually spawn sub-agents and choose the API per spawn (Haiku, Sonnet, Opus, DeepSeek, Grok, Gemini, MiniMax).

It's deep.

Why This Beats Other OpenClaw Dashboards

I've tested others, so this comparison is based on real use.

Building your own dashboard is slow, takes hours of work, and is often less reliable than what's already available. Other GitHub options vary — some are good, some are buggy, and Mission Control is the cleanest I've found. The default OpenClaw setup gives limited visibility and isn't designed for multi-agent management.

For most users, Mission Control wins.

Real Use Cases

Five things you'd actually use Mission Control for in daily work.

The first is daily ops monitoring — check status each morning to see what worked overnight. The second is multi-agent management, coordinating Builder, Researcher, and Reviewer with visual oversight. The third is cost tracking, monitoring token usage per agent and optimising where you're overspending. The fourth is memory management, browsing what your agents know and adding new context. The fifth is task scheduling, setting up recurring jobs and tracking completion.

What If You're Worried About Safety

Honest about install hygiene.

Before installing any GitHub-sourced tool, check the files, run them through Claude for a sanity check, test in isolation if you're cautious, or use Mol Worker (Cloudflare-powered safer install) which I cover in the AI Profit Boardroom. You don't have to do anything you're not comfortable with.

Pairing With Other Tools

Mission Control works alongside other parts of the OpenClaw ecosystem.

Pair with ClawX OpenClaw as an alternative front-end. Combine with OpenClaw Aion UI for multi-CLI dashboard work. Add OpenClaw computer use for desktop automation.

Pick the right tool for the job. Mission Control is best for monitoring and multi-agent management specifically.

Daily Reality

What it looks like in daily use. At 8am, open Mission Control. Check overnight agent activity. Approve any pending decisions. Add new tasks via the Task Board. Spawn sub-agents as needed for the day.

Used to be no visibility. Now it's air traffic control for your AI fleet.

What OpenClaw Mission Control Doesn't Do

Honest about the limits.

It doesn't run agents itself — it monitors OpenClaw. The mobile UI is limited, with desktop being the primary experience. Some advanced features need OpenClaw chat to configure rather than the dashboard itself.

For most users, the wins outweigh the limits.

🚀 Want my full OpenClaw + Mission Control system? The AI Profit Boardroom has my Mission Control setup, OpenClaw 6-hour course, daily training, weekly live coaching, and 3,000+ members. → Join here

FAQ — OpenClaw Mission Control

Is OpenClaw Mission Control really free?

Yes — open source, no cost.

Do I need OpenClaw installed first?

Yes — Mission Control sits on top of OpenClaw.

How long does install take?

5 minutes via OpenClaw chat.

Can I run it on multiple OpenClaw instances?

Yes — install separately per instance.

Will it work with my existing agents?

Yes — picks up your existing OpenClaw config.

Can I add custom agents through the dashboard?

Yes — Agent Squad feature.

How is this different from ClawX?

ClawX is a desktop front-end. Mission Control is a monitoring and management dashboard. You can use both.

Related Reading

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OpenClaw Mission Control is the free dashboard that brings real visibility to your AI agent fleet — install today and you'll never run blind again.

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