MCPFast / Tools / Clawmetry: Real-time observability for 12 AI agent runtimes

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Clawmetry: Real-time observability for 12 AI agent runtimes

Clawmetry provides real-time insight into the internal workings of 12 AI agent runtimes, including OpenClaw and NVIDIA NemoClaw.

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Clawmetry: Real-time Observability for AI Agent Runtimes

Clawmetry is a powerful tool designed for developers building and deploying AI agents. It offers real-time observability into the internal operations of a wide range of AI agent runtimes, providing critical insights for debugging, performance tuning, and understanding agent behavior. With support for 12 different runtimes, including popular frameworks like OpenClaw and NVIDIA NemoClaw, Clawmetry bridges the gap between complex agent logic and actionable performance data. This tool is essential for anyone looking to gain deep visibility into their AI agent's execution flow.

What Clawmetry Does

Clawmetry intercepts and analyzes data streams from various AI agent runtimes, presenting this information in a clear, real-time format. It allows developers to monitor key metrics, trace execution paths, and identify bottlenecks or errors as they occur. By providing a unified interface for diverse runtimes, Clawmetry simplifies the process of understanding how agents are functioning, making it easier to diagnose issues and optimize performance.

Key Features

Who Clawmetry Is For

Clawmetry is specifically built for AI developers , ML engineers , and researchers who are actively developing, testing, or deploying AI agents. If you are working with frameworks like OpenClaw or NVIDIA NemoClaw, or any of the other 10 supported runtimes, and require deep, real-time insights into your agent's performance and behavior, Clawmetry is an indispensable tool. It empowers you to build more robust, efficient, and reliable AI agents.