Introduction

LordClaw

LordClaw is a local-first dashboard for managing OpenClaw AI agent installations. It connects to your OpenClaw gateway via WebSocket and gives you real-time visibility into your agents, usage, cron jobs, and system health.

What it does

  • Monitor agents — see all your agents, their active sessions, models, and real-time status
  • Chat with agents — full chat interface with streaming, slash commands, and session management
  • Track token usage — per-agent and per-model breakdowns with time-series charts and cost estimation
  • Manage cron jobs — view schedules, run history, trigger jobs manually
  • Browse files — workspace file explorer with inline editing for your ~/.openclaw directory
  • Edit configuration — visual editor for openclaw.json with inline documentation
  • Monitor health — gateway status, channel connectivity, and system diagnostics

Design principles

Privacy-first. LordClaw contains zero analytics, tracking pixels, or telemetry. It only communicates with your local OpenClaw gateway; it never phones home.

Local-first. All data stays on your machine or within your private network. Usage data is stored in a local PostgreSQL database. No cloud dependencies.

Real-time. The dashboard connects to your gateway via WebSocket for live updates — agent activity, token counts, event streams, and health status all update in real time.

Quick start

Stack

LayerTechnology
FrontendNext.js 16 + TypeScript (strict)
UIshadcn/ui + Tailwind CSS
ChartsRecharts
DatabasePrisma 6 + PostgreSQL 16
Real-timeGateway WebSocket API
ThemesLight, dark, and system modes