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ClawMetry is a free, open-source observability dashboard built specifically for OpenClaw AI agents. Think of it as a purpose-built monitoring tool—similar to Grafana, but designed exclusively for AI agent workflows. With a single command (pip install clawmetry), you get real-time visibility into token costs, sub-agent activity, cron jobs, memory changes, and session history. It runs on macOS, Linux, Windows, and even Raspberry Pi, with zero configuration required.
Watch every sub-agent, tool call, and gateway interaction update in real time. The flow graph shows channels, models, and nodes as they connect and communicate—no more staring at raw logs.
See tokens in, tokens out, cache hits, response times, and cost per call. The breakdown covers per-session, per-model, and per-tool spending, so you know exactly where your budget goes.
Every session is logged with a timeline, tool calls, and cost data. System health shows cron jobs, service uptime, disk usage, and active sub-agents at a glance.
Hooks directly into OpenClaw's task system, letting you see which agents are working on which tasks. The companion app (beta) adds a native macOS menubar for quick access.
One command install, zero config, and it runs everywhere OpenClaw runs.
That's the core promise. No complex setup, no cloud dependency—just pip install clawmetry and you're monitoring. The live flow graph alone replaces hours of log spelunking, and the cost tracking catches surprises before the invoice arrives. It's open source, free forever, and already trusted by over 23,000 installs across 50+ countries.
You run OpenClaw agents and want to stop guessing what they're doing. Whether you're debugging a sub-agent that won't finish, tracking token burn across a fleet, or just want a beautiful dashboard that shows everything in one place—ClawMetry delivers. It's especially valuable if you're on a budget (free, self-hosted) or need to monitor agents on low-power hardware like a Raspberry Pi.
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Maker
meowbyte
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