Your OpenClaw and NVIDIA NemoClaw agents spawn sub-agents, burn tokens, call tools. You have no idea what they're actually doing. ClawMetry shows you in real-time and catches the weird ones before they make expensive mistakes.
macOS, Linux, Windows. The installer figures it out.
One screen. Everything happening across your agents.
Built because we needed it. Now you don't have to build it yourself.
Sub-agents spawn sub-agents. One bad loop and your monthly bill 3x's overnight. ClawMetry shows the live spawn tree, kills runaways with one click, and pages you when an agent crosses a budget line. Your finance team will notice.
Sub-agent running
Sub-agent on completion
Channels, gateway, models, tools, nodes. All wired up, updating as things happen.
Tokens in, tokens out, cache hits, response times, cost per call. Numbers you actually need.
Cron jobs, service uptime, disk usage, active sub-agents. Glanceable.
Every session logged. Timeline, tool calls, cost. Go back and see what happened.
Hooks into OpenClaw's task system. See which agents are on which tasks.
Per-session, per-model, per-tool. Know what you're spending before the invoice shows up.
Flag action hallucinations, repeated tool call failures, and agents stuck in a loop. Before they burn through your budget.
Drop ClawMetry into your existing OpenTelemetry pipeline. We accept standard OTLP traces and metrics on /v1/traces and /v1/metrics. No proprietary SDK required.
If OpenClaw runs there, ClawMetry runs there. Laptop, server, Raspberry Pi, whatever.
Managed deployment, volume pricing, and a direct line to the founder for 10+ node fleets.
Get notified about new features, releases, and the growing -metry ecosystem.
Everything you need to know about ClawMetry.
ClawMetry is a free, open-source real-time observability dashboard for AI agents running on OpenClaw. It gives you instant visibility into token costs, cron jobs, sub-agent activity, memory file changes, and session history โ all in a single local dashboard.
Yes, completely. ClawMetry is MIT licensed and runs locally on your machine. No cloud dependency, no telemetry, no subscription. There is also an optional ClawMetry Cloud plan for teams who want a hosted multi-node dashboard.
Run pip install clawmetry then clawmetry. It auto-detects your OpenClaw workspace โ no config file needed. Setup takes about 30 seconds.
ClawMetry monitors token usage and cost per session and model, cron job status and history, sub-agent spawns and outcomes, memory file changes (SOUL.md, MEMORY.md, AGENTS.md), session transcripts, channel activity, and real-time tool call traces.
Yes. ClawMetry works with any model your OpenClaw agents use โ Claude (Anthropic), GPT-4 (OpenAI), Gemini (Google), and others. It tracks cost and token usage per model automatically.
LangSmith and W&B are enterprise platforms built for LLM application developers. ClawMetry is purpose-built for OpenClaw users โ it understands the specific concepts of channels, cron jobs, sub-agents, memory files, and the full agent runtime. It runs locally in 30 seconds with zero config.
Yes. ClawMetry runs entirely on your own machine and keeps a full audit trail of every tool call, policy violation, and sub-agent action. Personally Identifiable Information (PII) stays on-device because no transcripts leave your network. Data leaders, compliance, and ops teams can review what every agent did, when, and why, without sending data to a vendor.
ClawMetry runs on Linux, macOS, and Windows (via WSL). It also works on Raspberry Pi and other ARM devices. Requires Python 3.8+ and an active OpenClaw installation.