I've been building ClawMetry for past 5 weeks. 90k+ installs across 100+ countries. The observability features I built first were the ones I personally needed: a live execution graph (Flow tab), full decision transcripts (Brain tab), token cost tracking per session, and visibility into sub-agent spawns. But I keep hearing variations of the same thing: "I don't really know what my agents are doing." And everyone means something slightly different by that. For some it's costs. For some it's timing (why did this take 4 minutes?). For some it's trust (did the agent actually do what I think it did?). For some it's failures (where exactly did it break?). So I want to ask you directly: If you're running AI agents today -- what's the one thing missing from your observability setup? What would make you feel like you actually understand what's happening inside your agents? Options I'm thinking about next: - Alerting (get notified when an agent fails or goes over budget) - Cost per task breakdown (not just per session) - Agent run comparisons (before/after a prompt change) - Memory snapshots (what did the agent "know" at each decision point) Drop your answer below. The next feature I build will be heavily influenced by this thread. (ClawMetry is free to try locally: pip install clawmetry. Cloud: app.clawmetry.com, $5/node/month, 7-day free trial.)
Your OpenClaw agent is running, but do you know what it's doing or how much it's costing? ClawMetry Cloud gives you live flow visualization, token costs, memory state, and sub-agent activity from any browser or Mac app. Two commands to connect: pip install clawmetry, then clawmetry connect. E2E encrypted, your data never touches our servers unencrypted. Open source locally, $5/node/month for cloud. 7-day free trial.
ClawMetry is a free, open-source observability dashboard for OpenClaw AI agents. Think Grafana, but purpose-built for AI. One command install (pip install clawmetry), zero config. Monitor token costs, sub-agent
activity, cron jobs, memory changes, and session history. All in real-time with a beautiful live flow visualization.
Works on macOS, Linux, Windows, even Raspberry Pi
ClawMetry
