ClawMetry is a free, open-source observability dashboard for OpenClaw AI agents. Think Grafana, but purpose-built for AI. One command install (pip install clawmetry), zero config. Monitor token costs, sub-agent activity, cron jobs, memory changes, and session history. All in real-time with a beautiful live flow visualization. Works on macOS, Linux, Windows, even Raspberry Pi
Introducing ClawMetry for OpenClaw 🚀
I built an real-time observability dashboard for OpenClaw AI agents. Here's why.
You send a message in your Telegram / WhatsApp to do some work & the agent says "spawning sub-agent" and you just... hope it works?
You shouldn't have to. So I built ClawMetry.
See what every sub-agent is doing. Right now.
What files it's reading, what commands it's running, what tools it's calling, what it's thinking. Summary, narrative, full logs. No more guessing.
System health at a glance.
Cron jobs, service uptime, disk usage, active sub-agents. All in one view.
Session history.
Every session logged with a timeline, tool calls, and cost. Go back and see exactly what happened.
Cost breakdown.
Per-session, per-model, per-tool. Know what you're spending before the invoice shows up.
It's open source, installs in 30 seconds:
pip install clawmetry
One line in your OpenClaw config, and you get a full dashboard.
If you're building with AI agents, you need visibility. Not more logs, actual observability.
clawmetry.com
Came across ClawMetry on Product Hunt — really like the clarity of “Know what your agents are doing. Right now.” That line immediately communicates urgency and control.
One thought I had while exploring the page — are you intentionally positioning it strictly around OpenClaw users, or do you see it evolving into a broader “agent observability layer” narrative?
The core pain you’re solving (visibility into agent behavior, token burn, tool usage) feels bigger than a single ecosystem. It could potentially resonate with teams deploying AI agents in production more broadly.
Either way, very clean execution — especially the directness of the messaging.
Congrats on the launch @vivek_chand! Love the real-time visibility approach, solves a real pain point. How are you planning to reach developers beyond Product Hunt?
Nice work @vivek_chand, the zero-config install is brilliant for developer adoption. The real-time flow visualization looks clean. How are you planning to drive initial awareness beyond the OpenClaw community?
Congrats on the launch 🚀
Finally, real visibility into what agents are actually doing. Super useful for anyone building with OpenClaw.
Observability for AI agents is something most builders overlook until things break in production. Love that you're tackling this early. How do you handle tracing when agents make multiple chained calls? In my experience building database agents, the hardest part to debug is when the agent interprets a query correctly but chains the wrong follow-up action. Clean dashboards for that would be a game changer.
