clawmetry and openclaw-trace
Both tools provide observability for OpenClaw AI agents, with Clawmetry offering a real-time dashboard for thinking processes and openclaw-trace focusing on end-to-end tracing for multi-agent systems, making them complementary tools that can be used together to achieve comprehensive observability.
About clawmetry
vivekchand/clawmetry
See your agent think. Real-time observability dashboard for OpenClaw AI agents.
Provides live animated message flows across 18+ channels (Telegram, Discord, Slack, WhatsApp, Signal, Matrix, etc.), token/cost tracking by model and session, and workspace memory browsing—all auto-detected from `openclaw.json` with zero configuration. Built on Flask, it runs locally on port 8900 and streams real-time logs, cron job status, and agent event traces through a unified dashboard UI.
About openclaw-trace
Tell-Me-Mo/openclaw-trace
End-to-end tracing and observability for OpenClaw multi-agent systems
Provides real-time dashboards and REST APIs for tracking token consumption, costs, and tool usage across OpenClaw agent sessions by parsing local JSONL files. Features budget monitoring with daily/monthly limits, 7-day historical trends, A/B heartbeat comparison, and optimization hints like cache hit rates and waste detection. Runs as a standalone Node.js server with no external dependencies, accessible at localhost:3141.
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