ClawdBot Task Tracking Dashboard

GitHub by ATLAS963 February 6, 2026

ClawdBot Dashboard is a web-based task management interface designed to streamline workflow organization and progress tracking for ClawdBot automation systems. Built with modern web technologies, it provides a centralized hub for monitoring, creating, and managing tasks within bot-driven workflows.

Purpose and Significance

Task tracking dashboards are essential infrastructure for AI automation systems. ClawdBot Dashboard addresses a critical need: providing operators with transparent visibility into bot activities, task status, and execution history. As AI automation becomes more prevalent in development workflows, having a dedicated interface to monitor and manage these processes reduces friction, improves debuggability, and ensures accountability. This project demonstrates practical UI/UX patterns for building trustworthy automation control surfaces.

Key Features

Real-time Task Monitoring — View live task status, execution progress, and completion metrics across your ClawdBot instances
Task Management Interface — Create, update, and prioritize tasks through an intuitive web UI
Database-Backed Persistence — Supabase integration ensures reliable data storage and multi-user access
Modern Tech Stack — Built with JavaScript, CSS, and HTML for fast frontend performance
Cloud-Ready Deployment — Pre-configured for Vercel, enabling one-click deployment with auto-scaling
API Integration — RESTful backend API layer for programmatic task management and bot communication
Test Coverage — Includes test coverage analysis to ensure code reliability

Getting Started

Prerequisites: Node.js 16+, Supabase account, Vercel account (optional for deployment)

Quick Setup:

Clone the repository and install dependencies with npm install
Configure your Supabase credentials in environment variables
Run the schema initialization with the provided supabase-schema.sql
Start the development server with npm run dev
Deploy to Vercel using the included vercel.json configuration

The dashboard will be accessible at your deployment URL immediately after setup. Consult the README in the repository for detailed environment configuration steps.

Who It's For

ClawdBot Users — Teams operating ClawdBot automation who need centralized task visibility
Workflow Automation Teams — Engineers building AI-assisted development pipelines
DevOps/DevSecOps Engineers — Professionals managing automated security and deployment workflows
Open-Source Contributors — Developers interested in building dashboard UIs for automation systems
AI Systems Integrators — Organizations deploying multiple AI agents requiring coordination layers

Architecture Overview

The project follows a three-tier architecture: a frontend UI layer (HTML/CSS/JavaScript), a Node.js API backend for task operations, and Supabase PostgreSQL for persistent data storage. This separation enables independent scaling of the dashboard interface and automation logic. GitHub Actions workflows automate testing and deployment pipelines, ensuring code quality on every push.

Technology Stack

Frontend: Vanilla JavaScript with HTML5 and modern CSS (46.3% JS, 37.3% CSS, 16.4% HTML codebase ratio)
Backend: Node.js API layer for task CRUD operations and bot communication
Database: Supabase (PostgreSQL-based) with pre-configured schema for task tracking
Deployment: Vercel for serverless hosting with automatic HTTPS and global CDN
CI/CD: GitHub Actions for automated testing and deployment workflows

Resources and Links

Official Repository: github.com/ATLAS963/clawdbot-dashboard

Live Demo: clawdbot-dashboard-theta.vercel.app

Documentation: Check the repository README for setup instructions, configuration options, and API endpoint documentation. The TEST_COVERAGE_ANALYSIS.md file provides insights into code quality metrics.

Related Projects: ClawdBot automation framework • building dashboard UIs for AI systems • Supabase database management

Community and Support

This is an active open-source project maintained by ATLAS963. Issues and pull requests are welcome. The codebase is relatively lean (7 commits at time of writing), making it an excellent starting point for teams looking to fork and customize the dashboard for their own automation needs.

Source: GitHub repository ATLAS963/clawdbot-dashboard, accessed February 2026

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