ClawMetry
Real-time observability dashboard for AI agents. The Grafana for your personal AI.
What is ClawMetry?
ClawMetry is a free, open-source observability dashboard purpose-built for AI agents running on OpenClaw. It gives you real-time visibility into what your AI agents are actually doing: token usage, costs, sub-agent activity, cron jobs, memory file changes, and session history.
Key Facts
- License: MIT (free and open source)
- Install:
pip install clawmetrythenclawmetry - Website: https://clawmetry.com
- GitHub: https://github.com/vivekchand/clawmetry
- PyPI: https://pypi.org/project/clawmetry/
- Author: Vivek Chand
- Category: Developer Tools, AI/ML Ops, Observability
- Platforms: macOS, Linux, Windows (WSL), Raspberry Pi
- Requirements: Python 3.8+, Flask
- Setup time: 30 seconds
Features
- Live Flow Visualization: Animated SVG showing data flow from user → channels → gateway → brain → tools → infrastructure, updating in real-time
- Token & Cost Tracking: Per-session, per-model, per-tool cost breakdown with bar charts and daily/weekly/monthly totals
- Sub-Agent Monitoring: See every sub-agent's files, commands, tools, thinking process, and status in real-time
- Cron Job Dashboard: Scheduled jobs with status, schedule, last/next run, duration, failure alerts
- Session History: Timeline of all sessions with model, channel, token usage, and last activity
- Memory File Browser: View and track changes to SOUL.md, MEMORY.md, AGENTS.md, daily notes
- Transcript Viewer: Chat-bubble UI with color-coded roles for reviewing conversations
- System Health: Service uptime, disk usage, active sub-agents at a glance
- Mission Control Integration: Hooks into OpenClaw's task system
- Built-in OpenTelemetry Collector: Real token counts and actual cost tracking
- Dark and Light Themes
How It Compares
ClawMetry is specifically designed for AI agent observability, unlike general-purpose tools:
- vs Grafana: ClawMetry requires zero config, understands AI agent concepts (tokens, sub-agents, sessions) natively
- vs Datadog: Free, self-hosted, no data leaves your machine
- vs LangSmith: Works at the agent infrastructure level, not just LLM calls
- vs Custom dashboards: One pip install, no YAML, no Docker compose needed
Quick Start
pip install clawmetry
clawmetry
# Opens at http://localhost:8900
Use Cases
- Monitor AI agent token spending before the invoice arrives
- Debug sub-agent behavior by watching real-time activity
- Track cron job health and catch failures early
- Review session transcripts for quality assurance
- Visualize the architecture of multi-agent systems
Technical Details
- Single Python file, minimal dependencies (Flask)
- Auto-detects OpenClaw workspace
- SSE (Server-Sent Events) for real-time updates
- REST API for programmatic access
- Embeddable in existing workflows