If you are running more than one OpenClaw agent, you already know the problem. The agents are working, but you have no central place to see what is happening. One agent is drafting emails in a terminal window, another is doing research in a second window, and you are jumping between sessions trying to piece together what got done and what did not.
This is where AgentCenter changes everything. It is a Mission Control dashboard built specifically for OpenClaw agents. You assign tasks, monitor live progress, and review deliverables, all from one place. No more tab switching. No more guesswork about which agent finished what.
This tutorial walks you through what AgentCenter is, how to set it up, and how to connect your OpenClaw agents so your team runs like a coordinated operation instead of a collection of isolated terminals.
What Is AgentCenter?
AgentCenter is a web-based management dashboard for OpenClaw agents. Think of it as the command center for your AI team. Instead of checking each agent individually, you see all of them in one place, with their current status, assigned tasks, and completed deliverables.
The dashboard gives you:
- A Kanban-style task board where you assign work to specific agents
- Live status updates as agents pick up and complete tasks
- A deliverable review panel where you read or download what each agent produced
- Bring-your-own-key (BYOK) support so each agent can use Claude, GPT-4, or Gemini independently
- REST API and custom skill integration so your OpenClaw agents connect to the dashboard automatically
AgentCenter sits on top of your existing OpenClaw setup. Your agents keep running in their own environments. They just start reporting to a shared dashboard instead of running silently in the background.
Why You Need This Once You Have More Than One Agent
When I first set up a multi-agent OpenClaw workflow, I thought managing everything in separate terminal sessions would be fine. It was not fine.
The real problem is context. You send one agent to write a report while another researches sources. But you have no way to know when the research is ready, whether the writer has picked it up, or what the draft looks like, without opening a third window and manually checking.
If you have already read my guide on how to build a multi-agent workflow with OpenClaw, you know how powerful the 4-role system is. AgentCenter is what you add on top of that to make the coordination visible and manageable.
Step 1: Create Your AgentCenter Account
Go to agentcenter.cloud and create a free account. The sign-up process takes less than two minutes.
Once you are in, you will land on your Mission Control dashboard. It is empty at first, which is fine. You are about to populate it with your agents.
Step 2: Add Your AI Model API Keys
AgentCenter supports multiple AI model providers. This is the BYOK (bring your own key) system that makes it flexible for mixed-model teams.
In your AgentCenter settings, add API keys for the models your agents use:
- Claude: Get your key from Anthropic Console
- GPT-4: Get your key from OpenAI Platform
- Gemini: Get your key from Google AI Studio
You do not have to use all three. Add only the keys that match the models your OpenClaw agents are configured to run. Each agent in your team can use a different model, which is genuinely useful. I use Claude for writing agents and GPT-4 for research-heavy agents because each model has different strengths.
Step 3: Create a Workspace in AgentCenter
Inside AgentCenter, create a workspace. A workspace is the container for your agent team. You can have one workspace per project or one workspace for your entire operation.
Name it something clear, like "Content Team" or "Research and Writing Hub." The name shows up in your dashboard, so make it easy to recognize at a glance.
Step 4: Connect Your OpenClaw Agents
This is where your OpenClaw agents get linked to AgentCenter. Each agent connects via an API key that AgentCenter generates for you.
In AgentCenter:
- Go to your workspace
- Click "Add Agent"
- Copy the API endpoint and the agent API key that AgentCenter generates
In your OpenClaw agent's configuration:
Open the agent's openclaw.json file (located in ~/.openclaw/openclaw.json or in the agent's own agentDir folder). Add the AgentCenter connection block:
{
"agentcenter": {
"endpoint": "https://api.agentcenter.cloud/your-workspace-id",
"apiKey": "your-agent-api-key-here",
"reportInterval": 30
}
}
The reportInterval value (in seconds) controls how often your agent sends status updates to the dashboard. I keep mine at 30 seconds for active work sessions and bump it to 120 seconds for long-running background tasks.
If you prefer the skill-based approach, AgentCenter also offers an OpenClaw skill you can install directly into the agent's workspace. The skill handles status reporting and task polling automatically without any manual config edits.
After saving the config, restart your OpenClaw agent:
openclaw restart
Within a minute, the agent should appear in your AgentCenter dashboard as "Connected."
Repeat this for every agent you want to manage through the dashboard.
Step 5: Set Up the Kanban Task Board
Once your agents are connected, head to the Task Board in AgentCenter. This is the Kanban view where you manage work.
Create columns that match your workflow. A simple setup might be:
- Queue: Tasks waiting to be assigned
- In Progress: Tasks your agents are actively working on
- Review: Deliverables ready for your review
- Done: Completed and approved work
Create a task card by clicking "New Task." Fill in:
- Task name: Keep it specific. "Write a 500-word intro for the AI tools guide" is better than "Write intro."
- Assigned agent: Select which agent should handle this task
- Description: Include all the context the agent needs. More context means better output.
- Due date (optional): Useful for time-sensitive projects
Once you save the card, AgentCenter pushes the task to your OpenClaw agent through the API connection. The agent picks it up, works on it, and when done, uploads the deliverable back to the task card.
You will see the card move from "In Progress" to "Review" automatically. Open the card, read the deliverable, and either approve it or leave a note for the agent to revise.
Step 6: Monitor Your Agents in Real Time
The dashboard shows a live status feed for each connected agent. You can see:
- Whether the agent is idle, working, or waiting for input
- Which task it is currently processing
- Token usage (useful for tracking costs across your team)
- Last activity timestamp
This is the part I personally find most valuable. When I am running a 3-agent operation, a single glance at the dashboard tells me exactly what is happening without opening a single terminal.
A Real Example: Running a 3-Agent Content Team
Here is how I run a content production team using OpenClaw and AgentCenter together.
I have three agents:
- ResearchBot: Assigned to find sources, statistics, and key facts on any given topic
- WriterBot: Takes the research brief and drafts the article
- ReviewBot: Reads the draft and checks for clarity, accuracy, and structure
The workflow on the Kanban board looks like this:
- I drop a task card into Queue: "Research the top 5 use cases for AI in customer support. Cite official sources only."
- I assign it to ResearchBot
- ResearchBot picks it up, does the research, and uploads a brief to the card
- I move the card to WriterBot's column with a note: "Use the research brief to write a 1,000-word tutorial."
- WriterBot drafts the article and uploads it to the card
- I move it to ReviewBot's column: "Check for clarity. Flag any claims that need a source."
- ReviewBot posts review notes. I make final edits and mark it done.
This entire process happens inside AgentCenter. I am the director, not the dispatcher. I am not jumping between terminals or copy-pasting outputs from one window to another.
If you want to see how the multi-agent roles work at the OpenClaw level, the OpenClaw multi-agent workflow guide covers the 4-role configuration in detail. AgentCenter is the management layer that sits on top of that.
Tips for Managing Your Agent Team Well
Give each agent a clear scope. The prompt you put in the task description is what the agent works from. A vague task gets a vague result. Be specific about format, length, and what "done" looks like.
You are a research agent. Your task is: [task description]. Find 3 to 5 sources from official websites or documentation only. Return a brief with key facts, direct quotes where useful, and the source URL for each point.
Use the BYOK model assignment strategically. Claude handles complex reasoning and long-form writing exceptionally well. GPT-4 excels at structured data extraction. Gemini is strong for multimodal tasks. Assigning the right model to the right agent type is one of the fastest ways to improve output quality.
Set a reporting interval that matches task length. Short tasks (under 10 minutes) work well with a 30-second interval. Long autonomous tasks (research marathons, document processing) work better at 60 to 120 seconds to reduce API overhead.
Use AgentCenter's deliverable history. Every deliverable the agent uploads is stored in the task card. You can go back and compare versions, restore an earlier draft, or pull a deliverable from a past project to use as a reference.
What Comes Next: Protecting Your Agent Team
Once you have your agents working through AgentCenter, the next challenge is resilience. What happens if one agent crashes mid-task? What if a workspace gets corrupted?
That is where AlphaClaw comes in. AlphaClaw is a self-healing watchdog layer for OpenClaw that handles crash recovery, workspace sync, and rollback. It pairs naturally with AgentCenter because it keeps your agents healthy and running even when something goes wrong.
And if you want to push your OpenClaw agents even further, my guide on how to use OpenClaw Computer Use covers how to give agents full browser and desktop control, which opens up a completely different class of automation.
Start with One Agent, Then Scale
If you have not connected any agents to AgentCenter yet, the best way to start is with a single agent and one simple task. Get comfortable with how the dashboard works, how task assignment flows, and how deliverables come back before you add more agents to the mix.
AgentCenter has a free tier that lets you connect up to three agents. That is enough to run a real operation. Start there, see the value, and scale from there.
The free OpenClaw Agent Management Guide below includes the exact setup steps, a task delegation cheat sheet, and an agent role template you can fill in for your own team. Download it and use it alongside this tutorial to get your agent operation running faster.