OpenClaw Dashboard: How to Monitor and Manage Your AI Agents

OpenClaw is powerful. It's also a black box.

You fire off a task, the agent runs for 15 minutes, and you get a result. What happened in between? How much did it cost? Did it take the optimal path or burn tokens going in circles? If you're running multiple agents across a team, multiply that uncertainty by every agent and every team member.

OpenClaw doesn't ship with a dashboard. It's a CLI tool — you get terminal output and that's it. For solo developers running a few tasks, that's fine. For teams running agents on real business workflows, it's a problem.

The Visibility Gap

Here's what you can't see when running OpenClaw from the terminal:

• What your agent is doing right now — is it stuck? Making progress? Waiting for input?

• How much each task costs — token usage per task, per agent, per team member

• What went wrong — when a task fails, you get an error message but no execution replay

• Team activity — who ran what, when, with what results

• Historical patterns — which tasks succeed consistently vs. which ones need human intervention

This is especially painful for non-technical team members. Asking a marketing person to SSH into a server and read terminal logs is a non-starter.

Existing Solutions

A few projects have tried to solve this:

ClawMetry (Open Source)

ClawMetry is a local observability dashboard with 180 stars on GitHub. It tracks token usage, costs, and execution flows with a web UI you can view in your browser.

What it does well:

• Token and cost tracking per session

• Flow visualization showing the agent's step-by-step execution

• Transcript replay — read exactly what the agent "thought" at each step

What it doesn't do:

• No multi-user support — it's single-player only

• Runs locally — no hosted option, no sharing

• No task management — it observes but doesn't orchestrate

• No team features — no permissions, no collaboration, no shared views

Terminal-Based Monitoring

You can parse OpenClaw's output logs manually or pipe them to tools like jq for structured analysis. Some teams have built custom scripts to extract cost data from session files.

This works for hackers. It doesn't work for teams.

What a Real Dashboard Needs

Based on how teams actually use OpenClaw agents, a proper dashboard needs to cover five areas:

1. Task Management

A visual board showing all agent tasks and their status. Not a terminal window — a kanban board where you can see what's in the inbox, what's in progress, what's done, and what's blocked.

Team members should be able to create tasks, assign them to agents, and track progress without touching a CLI.

2. Live Agent Activity

A real-time feed of what each agent is doing. Which files it's reading, which commands it's running, which decisions it's making. Like a security camera feed for your AI workforce.

This matters for trust. Teams won't give agents autonomy until they can watch what they're doing.

3. Execution Replays

When a task completes (or fails), you need to see the full execution trace. Every step, every tool call, every decision point. This is how you debug agent failures and improve your skills/prompts.

4. Cost Intelligence

Per-agent, per-task, per-team-member cost breakdowns. Which agents are efficient? Which tasks burn tokens? Where can you optimize? Are you getting ROI from your agent investment?

5. Team Collaboration

Multiple team members sharing a workspace. Role-based permissions (admin, member, viewer). Shared task queues. Agent assignments. Activity history showing who did what.

RunAgents: The Dashboard for OpenClaw

RunAgents is purpose-built to solve these problems. It's the mission control layer on top of OpenClaw — giving your team a visual dashboard to deploy, manage, and monitor AI agents.

Here's what it provides:

Kanban Task Boards

Create tasks in a visual board. Drag them between columns (inbox, assigned, in progress, review, done). Assign tasks to specific agents. Set due dates, priorities, and recurring schedules.

No terminal required. A marketing coordinator can create and assign agent tasks as easily as creating a Trello card.

Agent Activity Feed

A real-time stream of everything your agents are doing across all tasks. Filter by agent, by task, by status. See which agent picked up which task and how far along it is.

Execution Replays

Full step-by-step playback of every agent execution. See what the agent read, what it wrote, what commands it ran, and where it got stuck. Essential for debugging and for building trust with the team.

Cost Per Agent

Dashboard showing token usage and API costs broken down by agent, by task, and over time. Spot expensive tasks, identify optimization opportunities, and track spending trends.

Team Collaboration

Invite team members, assign roles, share workspaces. Everyone sees the same task board, the same agent status, the same cost data. No more siloed terminal sessions.

Recurring Task Scheduling

Set up tasks that run daily, weekly, or on custom schedules. "Generate the weekly analytics report every Monday at 9am." "Check competitor pricing every Friday." "Run the SEO audit on the 1st of each month."

The agents handle execution. RunAgents handles the scheduling and monitoring.

Who Needs a Dashboard?

If you're a solo developer running OpenClaw for personal tasks, you probably don't need a dashboard. The terminal is fine.

You need a dashboard when:

• Multiple people are creating and managing agent tasks

• Non-technical team members need to interact with agents

• Cost matters and you need to track spending per agent/task

• Reliability matters and you need to debug failures systematically

• Compliance matters and you need audit trails of agent activity

• Agents run autonomously on schedules without human supervision

Frequently Asked Questions

Does OpenClaw have a built-in dashboard?

No. OpenClaw is a CLI tool with no web interface. You interact with it entirely through the terminal. For visual task management, monitoring, and team collaboration, you need a separate dashboard tool like RunAgents.

How do I monitor OpenClaw agent costs?

OpenClaw logs token usage per session, but there's no built-in cost dashboard. ClawMetry (open source) provides local cost tracking. RunAgents provides hosted cost tracking with per-agent, per-task breakdowns and team-wide spending analytics.

Can I track what OpenClaw agents are doing in real time?

Not natively. OpenClaw outputs its progress to the terminal, but there's no centralized view across multiple agents or sessions. RunAgents provides a real-time activity feed across all your agents and tasks.

How do I manage OpenClaw agents for a team?

OpenClaw is single-user by design. Each person runs their own instance. For team management — shared task queues, agent assignments, role-based access, and collaborative dashboards — you need an orchestration layer like RunAgents.

Can I schedule OpenClaw tasks to run automatically?

OpenClaw doesn't have built-in scheduling. You can use cron jobs or Docker-based scheduling for automated runs, but that requires technical setup and has no monitoring UI. RunAgents provides visual scheduling with monitoring and failure alerts built in.

Is RunAgents the only dashboard option for OpenClaw?

ClawMetry is an open-source alternative for local observability (token tracking, flow visualization, transcript replay). It's good for solo developers who want to inspect their sessions. For team collaboration, task management, and hosted monitoring, RunAgents is currently the only option built specifically for OpenClaw teams.

Ready to see the dashboard in action? RunAgents gives you managed OpenClaw hosting with task management, team collaboration, and agent debugging built in. Get started free

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