clawmetry and openclaw-dashboard

These two dashboards appear to be competitors, both offering real-time observability for OpenClaw AI agents, with project B additionally providing security features like authentication and cost tracking.

clawmetry
72
Verified
openclaw-dashboard
48
Emerging
Maintenance 13/25
Adoption 20/25
Maturity 20/25
Community 19/25
Maintenance 13/25
Adoption 10/25
Maturity 3/25
Community 22/25
Stars: 151
Forks: 26
Downloads: 33,773
Commits (30d): 0
Language: Python
License: MIT
Stars: 415
Forks: 72
Downloads:
Commits (30d): 0
Language: HTML
License:
No risk flags
No License 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

tugcantopaloglu/openclaw-dashboard

🔐 Secure, real-time monitoring dashboard for OpenClaw AI agents. Auth, TOTP MFA, cost tracking, live feed, memory browser and more.

Built on pure Node.js with zero external dependencies, it monitors OpenClaw agent sessions by reading workspace files and logs directly from disk. The dashboard provides granular API usage tracking for Claude and Gemini models with rolling-window rate limits, system health metrics (CPU, RAM, temperature), Docker container management, and security controls including PBKDF2 password hashing, TOTP MFA, and audit logging of sensitive actions.

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