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Mysense775
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deya-dashboard

Manage an OpenClaw AI instance through a web dashboard with FastAPI.

Updated Feb 27, 2026
Search Tags:#monitoring#dashboard#management#web ui#control panel#ai instance
One-click install
npx skills add https://github.com/Mysense775/deya-openclaw --skill deya-dashboard
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deya-dashboard
Source: https://github.com/Mysense775/deya-openclaw/tree/main/deya-dashboard
Command: npx skills add https://github.com/Mysense775/deya-openclaw --skill deya-dashboard

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a user-friendly web interface to manage and monitor your OpenClaw AI instance, eliminating the need for complex command-line operations.

Core Features & Use Cases

  • Unified Control Panel: Access chat, dashboard statistics, skill management, memory browsing, channel integration, task scheduling, and settings all from one place.
  • Real-time Interaction: Engage in real-time chat with the AI, view system health, and manage skills and tasks.
  • Use Case: A user wants to quickly check the system's resource usage, post an update to a connected Telegram channel, and add a new skill to their AI instance, all without leaving the web browser.

Quick Start

Access the Deya Dashboard by navigating to http://localhost:8001 in your web browser.

Frequently Asked Questions about deya-dashboard

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage my AI instance without using command-line tools?▼

You can manage an AI instance through a web-based dashboard, eliminating complex command-line operations by providing a graphical interface for system monitoring, chat, and configuration settings. Accessible directly in a web browser at localhost:8001.

Can I monitor system health and resource usage for my AI instance in real time?▼

Real-time monitoring of system health and resource usage is available through the dashboard view. The web UI displays live statistics, enabling users to track their AI instance performance and system metrics dynamically without terminal access.

Does the dashboard support scheduling tasks and managing memory for an AI instance?▼

Task scheduling and memory browsing are supported features. The dashboard provides dedicated interfaces for accessing system memory and configuring automated tasks, allowing comprehensive management of an AI instance directly from the web UI.

What web technologies are used to build this AI instance control panel?▼

The control panel uses FastAPI for backend integration and Jinja2, HTMX, Tailwind CSS, and Alpine.js for the frontend. This stack delivers a dynamic user experience for managing AI instances, chat interfaces, and channel integrations.

How do I integrate external channels like Telegram with my AI instance?▼

Channel integration is handled directly within the dashboard's web interface. Users can connect and post updates to external channels like Telegram from the unified control panel, managing communications alongside skills and system settings.

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