ClawMetry for OpenClaw

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

ClawMetry for OpenClaw is a strong fit if you are one of: • open-source contributors and developer communities • developers, engineers, and technical founders • teams adopting AI-powered workflows and automation If that does not sound like you, skim the features and site before committing time.

ClawMetry for OpenClaw is built around this outcome: For AI engineers: ClawMetry monitors OpenClaw agents in real-time, tracking token costs, sub-agent activity, and memory changes with live flow visualization. Use the site demo or docs to confirm it matches the bottleneck you are trying to remove.

ClawMetry for OpenClaw includes: • Monitor AI agent activity and spending in real time • Detect stuck loops and runaway agent behavior automatically • Pause or stop agent runs that have gone wrong • Gate tool calls for approval before execution • Enforce spending limits on routed model traffic • Discover all AI agent runtimes running on machines

Free forever for one node with OpenClaw, NemoClaw, Goose and Qwen Code. Starter $9/node/month for all 32 runtimes. Pro $19/node/month adds governance features. Most freemium tools let you validate the workflow before upgrading — check what the free tier unlocks for your use case.

Free forever for one node with OpenClaw, NemoClaw, Goose and Qwen Code. Starter $9/node/month for all 32 runtimes. Pro $19/node/month adds governance features.

ClawMetry for OpenClaw mentions open-source or self-hosting in its positioning. Check the repo or docs for license, deployment effort, and what stays cloud-only.

ClawMetry for OpenClaw uses AI as part of its workflow. Before relying on it for customer-facing or confidential work, confirm what data is sent to models, whether outputs are editable, and how you can review results.

It promises: For AI engineers: ClawMetry monitors OpenClaw agents in real-time, tracking token costs, sub-agent activity, and memory changes with live flow visualization. A concrete use case founders care about: Teams monitoring multiple AI agent runtimes across their infrastructure. It has 195 community upvotes on Launch Llama, which is a signal of interest — not a guarantee it fits you. Worth trying if that problem is painful for you this week; skip it if you only need a one-off workaround you already have.

Open the official ClawMetry for OpenClaw website from this page, run the smallest real task you care about (not a toy demo), and decide in one session whether it removes friction. Check pricing and data/privacy terms before you put production work into it.