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VidClaw

An open-source, self-hosted command center for your OpenClaw agent. Manage tasks, track usage, switch models, and shape your agent's soul - all from one dashboard.

View on GitHub Quick Install

● Localhost only - secured via SSH tunnel

Everything you need to run your agent

Six panels. One dashboard. Zero cloud dependencies.

🗂️

Kanban Task Board

Backlog → Todo → In Progress → Done. Drag & drop cards, assign priorities and skills. Your agent picks up tasks automatically.

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Usage Tracking

Real-time token usage and cost estimates. Progress bars matching Anthropic's rate limit windows. Model switching from the navbar.

🧩

Skills Manager

Browse all bundled and custom skills. Enable, disable, or create new ones. Your agent loads them automatically on the next session.

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Soul Editor

Edit your agent's persona, identity, and operating instructions. Version history with one-click revert. Six starter templates included.

📅

Activity Calendar

Monthly view of what your agent has been working on. Parsed from memory files and task completion history.

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Content Browser

Browse your workspace files with markdown preview, syntax highlighting, and download. See what your agent has created.

Why I built this

I run an AI agent on OpenClaw that handles SEO tracking, content writing, code tasks, and more. Managing it through chat alone was getting chaotic.

I needed a way to queue tasks visually, see what my agent was doing, track how much I was spending, and tweak its personality without editing files over SSH.

VidClaw is that dashboard. It's opinionated, minimal, and built for people who actually run AI agents - not just talk about them.

It's 100% self-hosted. Your data never leaves your server. The dashboard only binds to localhost - you access it through an SSH tunnel. No accounts, no cloud, no tracking.

Up and running in 60 seconds

Requires Node.js 18+ and a running OpenClaw instance.

      # Clone into your workspace

      cd ~/.openclaw/workspace

      git clone https://github.com/madrzak/vidclaw.git dashboard

      # Run setup (installs deps, builds, starts service)

      cd dashboard

      ./setup.sh

      # Access from your machine

      ssh -L 3333:localhost:3333 root@your-server

Get Started →