# ClawMetry

Real-time observability dashboard for monitoring AI agents running on OpenClaw.

- Category: Developer Tools
- Pricing: Contact for pricing
- Tags: AI Support, Workflow Automation
- Website: https://clawmetry.com/?via=aigregator
- Aigregator page: https://aigregator.com/tools/clawmetry
- API: https://x402.aigregator.com/v1/tools/clawmetry

## Overview
ClawMetry is a free, open-source real-time observability dashboard designed specifically for AI agents running on OpenClaw and other compatible runtimes. It provides instant visibility into token costs, sub-agent activity, cron jobs, memory file changes, and complete session history through a unified local dashboard. The tool automatically tracks spending per model, session, and tool call, flagging runaway loops and budget overages before they escalate costs.

ClawMetry is built for AI engineers and team leads who need operational insight into agent behavior without external dependencies or complex configuration. The tool installs in seconds via a single command and runs locally on your machine, ensuring conversations and sensitive data never leave your infrastructure. Unlike enterprise platforms like LangSmith or Weights & Biases, ClawMetry is purpose-built for OpenClaw's specific agent architecture, understanding sub-agents, memory files, and cron jobs natively. One limitation is that it's currently optimized for OpenClaw-based agents, though it supports 10+ additional runtimes including NemoClaw, Claude Code, and Hermes.
## Key Features
- Real-time cost tracking per session, model, and tool call
- Live sub-agent spawn tree visualization
- Runaway loop detection and budget threshold alerts
- Complete session audit trail with timestamps and tool calls
- Cron job monitoring and service uptime tracking
- Memory file change tracking (SOUL.md, MEMORY.md, AGENTS.md)
- Channel and gateway activity monitoring
- OpenTelemetry-native trace export to Datadog, Grafana, Honeycomb
- Local-only mode with optional cloud relay
- One-tap agent stop control from dashboard or mobile device

## Use Cases
- Monitor token spending and catch runaway AI agent loops before they escalate costs
- Debug stuck agents by reviewing session transcripts, tool calls, and decision paths
- Track per-agent and per-model costs to optimize spending without changing models
- Audit agent actions and compliance for ops and finance teams with full session history
- Monitor cron job failures and agent health across distributed agent fleets

## Who It Is For
- AI engineers building OpenClaw agents
- Startup founders deploying autonomous agents
- Finance and ops teams managing AI infrastructure costs
- Compliance teams requiring audit trails and PII protection
- Teams running distributed agent fleets

## Pros
- Installs in 30 seconds with zero configuration, auto-detecting OpenClaw workspace automatically
- Runs entirely local with no cloud dependency; data never leaves your machine unless explicitly enabled with end-to-end encryption
- Purpose-built for OpenClaw architecture understanding sub-agents, cron jobs, and memory files unlike generic observability tools
- Completely free and MIT licensed, with open-source code on GitHub and 480k+ installations

## Cons
- Currently optimized primarily for OpenClaw agents; while it supports 10+ other runtimes, integration depth varies by runtime
- Requires Python 3.8+ and an active OpenClaw installation, limiting accessibility to users outside the OpenClaw ecosystem
- No out-of-the-box integration with enterprise LLM platforms like LangChain or LlamaIndex mentioned

## Alternatives
- [Gentrace](https://aigregator.com/tools/gentrace)
- [Dify AI](https://aigregator.com/tools/dify-ai)
- LangSmith
- Weights & Biases

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Source: Aigregator — AI tools directory. https://aigregator.com/tools/clawmetry