ClawMetry for OpenClaw

ClawMetry for OpenClaw: real-time observability-inspect sub-agent activity, files, commands, tool calls, thoughts, session timelines and per-session cost. Open-source; pip install clawmetry.

ClawMetry for OpenClaw

About ClawMetry for OpenClaw

ClawMetry for OpenClaw is a free, open-source observability dashboard created for AI agents built with OpenClaw. It provides a real-time view of agent activity, costs, and session history with minimal setup.

Review

ClawMetry for OpenClaw focuses on making agent behavior and resource usage visible so teams can investigate what happened during any session. The tool emphasizes real-time session timelines, tool-call logs, and cost breakdowns, all presented through a live flow visualization.

Key Features

  • Real-time dashboard showing sub-agent activity, tool calls, and session timelines.
  • Per-session cost breakdowns and model/tool usage to help track spending before invoices arrive.
  • Full context tracing for chained agent interactions, including logs of what each agent saw and decided.
  • Zero-configuration install and quick integration with an existing OpenClaw setup.
  • Lightweight, cross-platform operation suitable for desktop and single-board systems.

Pricing and Value

ClawMetry for OpenClaw is distributed as free, open-source software. For teams or hobbyists building with OpenClaw agents, it delivers immediate observability at no licensing cost. The main value is time saved diagnosing failures, clearer accountability for automated actions, and early insight into token and tool spending.

Pros

  • Provides clear, real-time visibility into what each agent and sub-agent is doing, reducing guesswork during incidents.
  • Captures detailed session history and tool-call logs that aid post-mortems and iterative improvements.
  • Transparent cost reporting per session, model, and tool helps control operational expenses.
  • Simple setup and open-source codebase make it accessible for experimentation and local deployment.
  • Designed to run on modest hardware, so it can be used in development or lightweight production environments.

Cons

  • Tightly focused on OpenClaw agents, so it has limited applicability for projects using other agent frameworks.
  • Advanced tracing and enterprise-grade features (fine-grained access control, long-term analytics) are areas where further development would be helpful.
  • Scaling to very large fleets may require additional infrastructure and integration work beyond the out-of-the-box setup.

ClawMetry for OpenClaw is best suited for developers and small teams building with OpenClaw who need immediate insight into agent actions, costs, and execution flows. It works well for local development, debugging multi-agent interactions, and tracking spending across sessions, and is a practical choice for anyone who prefers an open-source, low-friction observability layer.



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