Clawmetry is a free, open-source monitoring dashboard designed specifically for AI agents and agentic workflows. It provides developers and teams with clear visibility into how their agents operate in production, helping them understand performance, behavior, and cost in real time. By integrating directly into your Python stack via `pip install clawmetry`, it offers an accessible way to instrument and observe complex AI systems without relying on proprietary platforms.
The tool tracks token usage and associated costs across agents, sub-agents, and tools, enabling precise cost attribution and optimization. It monitors cron jobs and scheduled agent runs, making it easier to detect failures, delays, or unexpected behavior in recurring tasks. Clawmetry also surfaces memory usage and agent state, helping diagnose issues related to context windows, retrieval strategies, or long-running workflows. Its dashboard consolidates these metrics into a single interface, so teams can quickly identify anomalies and drill down into specific runs or components.
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