ClawMetry
Real-time observability dashboard for monitoring AI agents running on OpenClaw.
About ClawMetry
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.
At a glance
- Platforms
- Web, macOS, Linux, Windows, WSL, Docker, Kubernetes, Raspberry Pi, API
- API
- Available
- Integrations
- OpenClaw, NemoClaw, Claude Code, Hermes, Qwen, OpenCode, Goose, Aider
- Last verified
- June 2026
Who It's 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
How It Works
- 1Hooks into OpenClaw's task system to intercept agent execution and sub-agent spawning
- 2Captures real-time data on token usage, tool calls, and model interactions
- 3Aggregates cost and performance metrics per session, model, and tool
- 4Detects runaway loops by monitoring repeated tool calls and agents making no progress
- 5Stores audit trails locally with optional end-to-end encrypted cloud sync
How to Use ClawMetry
- 1Install via pip: 'pip install clawmetry' or use curl installer script
- 2Run 'clawmetry' command in your terminal to start the dashboard
- 3Dashboard auto-detects your OpenClaw workspace with zero configuration
- 4Monitor agent activity in real-time through the web-based dashboard
- 5Optionally enable ClawMetry Cloud for hosted dashboard with end-to-end encrypted sync
- 6Set budget alerts and configure which runtimes to monitor
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
Pros & Cons
Advantages
- •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
Disadvantages
- •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
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Frequently Asked Questions
What is ClawMetry?
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.
How much does ClawMetry cost?
ClawMetry uses custom pricing — contact the vendor for a quote.
Is ClawMetry free?
ClawMetry is a paid tool and does not offer a free plan.
What are the best ClawMetry alternatives?
Popular ClawMetry alternatives include Gentrace, Dify AI, LangSmith.
What is ClawMetry used for?
ClawMetry is commonly used for 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.
Does ClawMetry have an API?
Yes, ClawMetry offers an API for developers.
What platforms does ClawMetry support?
ClawMetry is available on Web, macOS, Linux, Windows, WSL, Docker, Kubernetes, Raspberry Pi, API.
Information Accuracy
Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.