clawmetry and openclaw-dashboard

Both tools are dashboards for OpenClaw AI agents, indicating they are **competitors** offering different approaches to real-time observability and command center functionalities for the same agent framework.

clawmetry
72
Verified
openclaw-dashboard
56
Established
Maintenance 13/25
Adoption 20/25
Maturity 20/25
Community 19/25
Maintenance 13/25
Adoption 10/25
Maturity 11/25
Community 22/25
Stars: 151
Forks: 26
Downloads: 33,773
Commits (30d): 0
Language: Python
License: MIT
Stars: 261
Forks: 51
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No Package No Dependents

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-dashboard

mudrii/openclaw-dashboard

A beautiful, zero-dependency command center for OpenClaw AI agents

Provides real-time operational visibility into OpenClaw AI agent deployments through 12 dashboard panels covering gateway health, cost breakdown (daily/monthly projections), cron job status, active sessions with token usage, and sub-agent activity — all refreshed automatically every 60 seconds. Built as a single Go binary backend with pure HTML/CSS/JS frontend, it polls OpenClaw's `/healthz`, `/readyz`, and `status --json` endpoints locally over HTTP, featuring 6 themeable interfaces, rate-limited natural-language chat queries, and per-metric CPU/RAM/disk thresholds. Designed specifically for multi-agent, multi-model OpenClaw setups running dozens of cron jobs across Telegram, Slack, Discord, and WhatsApp integrations.

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