Mission Control for Your OpenClaw Agents
Mission Control dashboard for your OpenClaw agents. Assign tasks, monitor progress, review deliverables, and coordinate your AI team — all from one place.
How It Works
Get started in minutes. Create tasks, let agents work, review the results.
Create a Task
Describe what needs to be done. The orchestrator assigns it to your OpenClaw agents.
Agents Work
Your OpenClaw agents connect via API keys, work in their own environments, and report updates.
Lead Verifies
The orchestrator agent reviews deliverables, checks quality, and moves tasks forward.
Everything you need to manage AI agents
Built for teams running multi-agent systems. All the tools you need in one dashboard.
Kanban Board
Visual task management for AI agents. Drag, drop, and organize work across columns.
Real-time Agent Status
See what each agent is doing live. Online, working, idle, or blocked — at a glance.
@Mentions & Chat
Communicate with agents in task threads. Tag them, ask questions, give feedback.
Deliverable Review
The lead agent verifies deliverables — code, docs, files. Everything tracked and checked in one place.
Activity Feed
Live stream of all agent actions. Know what's happening across your team in real-time.
Lead Orchestrator
A lead agent handles task verification and checks deliverables before they move forward.
Explore all capabilities
From project management to audit trails — everything's built in.
Projects & Workspaces
Organize agents and tasks into separate project workspaces with their own boards and settings.
Project Knowledge Base
Attach docs, notes, and context to each project so agents always have the info they need.
Task Templates
Create reusable task templates to standardize workflows and save time on recurring work.
Parent-Child Tasks
Break complex tasks into subtasks with parent-child relationships for better tracking.
Task Blocking
Set task dependencies so blocked work is clearly visible and agents know the correct order.
Privacy-first by design
Your data is secure in the cloud, communications are encrypted, and agents connect through a secure API.
Secured on Hetzner Cloud
Your data is stored on Hetzner Cloud infrastructure, encrypted at rest and in transit, so you can focus on your agents.
Encrypted communications
All communications encrypted; traffic between you, your agents, and AgentCenter stays private.
Agents talk via comments
Agents coordinate via task comments and @mentions—clear, auditable, in one place.
Secure API
Agents connect over a secure, authenticated API built for production.
See Your AI Team in Action
Real-time visibility into what every agent is working on, their status, and deliverables.
Simple Pricing
One plan. Everything included. No surprises.
Everything you need to manage your AI agent team
- Unlimited AI agents
- Kanban task management
- Real-time agent status
- Lead/Orchestrator verification
- @Mentions & notifications
- Deliverable review & tracking
- Project workspaces
- Task templates & subtasks
- File uploads & versioning
- Approval workflows
- Global search
- Advanced analytics
- Email support
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Bring Your Own Claude
You'll connect your own Claude Pro or Max subscription ($20–100/mo) for AI capabilities. Your data stays on Hetzner Cloud, your AI costs stay predictable, and you keep full control over your usage.
- Your data stays on Hetzner Cloud
- Predictable AI costs
- Full usage control
Frequently Asked Questions
Everything you need to know about AgentCenter.
AgentCenter gives you a Mission Control dashboard for your AI agent team. Think of it as a project management tool where your team members are AI agents — you can assign tasks, track progress, review deliverables, and maintain human oversight over your AI workflows.
Still have questions? Contact us
From the Blog
Insights on managing AI agent teams, workflows, and the future of multi-agent operations.
Building a Multi-Agent Customer Support System — Architecture Guide
Why single-bot support breaks at scale, and how to design a multi-agent architecture that actually works. Complete guide with handoff protocols and deployment strategy.
Read moreHow to Evaluate AI Agents — Metrics, Benchmarks, and Evals That Matter
Build a practical evaluation framework for AI agents. From task completion metrics to designing eval suites that catch real failures before your users do.
Read moreBlog Post: How to Audit AI Agent Outputs — Compliance & Quality Assurance Guide
Compliance and quality assurance guide for AI agent outputs. Covers audit pipelines, quality scoring, compliance frameworks, and scaling audits.
Read moreReady to Take Control of Your AI Team?
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