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OpenClaw Agent Platform — Control Dashboard

A real-time React control dashboard for the OpenClaw multi-agent AI framework — built with React 19, TypeScript 5.9, Vite 8, and Tailwind CSS 4.

React TypeScript Vite Tailwind CSS License: MIT


Overview

This project provides a browser-based control dashboard for the OpenClaw multi-agent AI platform running on macOS (Mac mini M4). It connects to a locally-hosted OpenClaw gateway via WebSocket, giving operators full visibility and control over agent sessions, model selection, skill management, and runtime health — all through a single-page application.

OpenClaw orchestrates multiple AI models (local via Ollama, cloud via Moonshot/Kimi K2.5 and others) through a tiered routing strategy, with specialised agents handling distinct responsibilities under granular tool-permission control (tools.allow / tools.deny). This dashboard is the observation and control layer for that system.


Key Features

  • Real-time Agent Monitoring: Live WebSocket connection to OpenClaw gateway with streaming token counts, session status, and agent activity
  • 7-Page Dashboard UI: Dashboard (command centre), Situation Room (live operations), Agent Studio (profile & workflow editing), Skills Hub, Models Hub, Runtime Health, and Changelog
  • Agent Studio: Create, configure, and manage agents with inline file editing (AGENTS.md, SOUL.md), model assignment, and workflow design
  • Models Hub: View all configured model providers and available models with context window and token limit details
  • Skills Hub: Browse, inspect, and manage installed OpenClaw skills with enable/disable controls
  • Runtime Health: Gateway uptime, connection status, session count, total token usage, and manual reconnect/refresh controls
  • Bilingual UI: Full English / Chinese (中文) interface with a language toggle, powered by a centralised translation system
  • Ed25519 Device Authentication: Cryptographic challenge–response handshake with the OpenClaw gateway using Web Crypto API

Architecture

┌─────────────────────────────────────────────────────────────┐
│                    Browser (React SPA)                       │
│                                                             │
│  ┌──────────┐ ┌──────────────┐ ┌──────────┐ ┌───────────┐  │
│  │Dashboard │ │Agent Studio  │ │Skills Hub│ │Models Hub │  │
│  │          │ │              │ │          │ │           │  │
│  │ Worker   │ │ ProfileCard  │ │ SkillRow │ │ ModelRow  │  │
│  │ Pool     │ │ FileEditor   │ │ SkillDtl │ │ ModelDtl  │  │
│  │ TaskFlow │ │ WorkflowEdit │ │          │ │           │  │
│  │ Chat     │ │ ProfileForm  │ │          │ │           │  │
│  │ Inspector│ │              │ │          │ │           │  │
│  └────┬─────┘ └──────┬───────┘ └────┬─────┘ └─────┬─────┘  │
│       │              │              │              │         │
│  ┌────v──────────────v──────────────v──────────────v──────┐  │
│  │              useOpenClaw (custom hook)                 │  │
│  │   WebSocket lifecycle · RPC calls · Event streaming    │  │
│  └────────────────────────┬──────────────────────────────┘  │
│                           │                                  │
└───────────────────────────┼──────────────────────────────────┘
                            │ ws://127.0.0.1:18789
                            │ (JSON-RPC over WebSocket)
┌───────────────────────────v──────────────────────────────────┐
│               OpenClaw Gateway (local)                       │
│                                                             │
│   sessions.list · chat.send · chat.abort · models.list      │
│   skills.list · agents.list · agents.create · config.get    │
│   agents.files.get · agents.files.set · health · ...        │
│                                                             │
│   ┌────────────┐  ┌────────────┐  ┌────────────────────┐   │
│   │ Ollama     │  │ Moonshot / │  │ Agent Workspaces   │   │
│   │ (local LLM)│  │ Kimi K2.5  │  │ AGENTS.md SOUL.md  │   │
│   └────────────┘  └────────────┘  └────────────────────┘   │
└─────────────────────────────────────────────────────────────┘

Tech Stack

Category Technologies
UI Framework React 19 + TypeScript 5.9
Build Tool Vite 8
Styling Tailwind CSS 4
Animation Framer Motion 12
Icons Lucide React
Markdown react-markdown + remark-gfm + rehype-highlight
AI Platform OpenClaw (multi-agent framework)
Transport WebSocket (JSON-RPC, Protocol v3)
Authentication Ed25519 challenge–response (Web Crypto API)
Local Models Ollama
Cloud Models Moonshot / Kimi K2.5
Platform macOS (Mac mini M4, Apple Silicon)

Installation

Prerequisites

  • Node.js 20+ and npm
  • A running OpenClaw gateway on localhost:18789
  • Ollama installed (for local model inference)

Setup

git clone https://github.com/[username]/openclaw-agent-platform.git
cd openclaw-agent-platform/dashboard

# Install dependencies
npm install

# Configure gateway credentials
cp .env.example .env
# Edit .env with your gateway token and device keys

# Start development server
npm run dev

The dashboard will be available at http://localhost:5173.

Production Build

npm run build
npm run preview

Project Structure

openclaw-agent-platform/
├── dashboard/                     # React SPA (this is the main codebase)
│   ├── src/
│   │   ├── app/                   # App entry point
│   │   ├── components/
│   │   │   ├── agents/            # AgentCard, AgentModal, LobsterAvatar
│   │   │   ├── chat/              # ChatPanel (main session chat)
│   │   │   ├── dashboard/         # ChatBubble, Inspector, TaskFlowPanel,
│   │   │   │                      # MainAgentConsole, WorkerPool, LangDropdown
│   │   │   └── shared/            # NavBar, HelpOverlay, InfoTile, ProgressBar
│   │   ├── pages/
│   │   │   ├── Dashboard/         # Command centre — agent grid, task flow, chat
│   │   │   ├── SituationRoom/     # Live operations view
│   │   │   ├── AgentStudio/       # Agent profiles, file editor, workflow editor
│   │   │   ├── SkillsHub/         # Skill browser with detail panel
│   │   │   ├── ModelsHub/         # Model provider browser with detail panel
│   │   │   ├── RuntimeHealth/     # Gateway health, logs, status cards
│   │   │   └── Changelog/         # Version history with add-entry form
│   │   ├── hooks/
│   │   │   └── useOpenClaw.ts     # Core hook: WebSocket, RPC, state management
│   │   ├── lib/
│   │   │   └── openclaw.ts        # OpenClawClient: WebSocket + Ed25519 auth
│   │   ├── services/openclaw/     # Service-layer abstractions
│   │   ├── data/                  # Static data, translations, mock data
│   │   ├── types/                 # TypeScript type definitions
│   │   └── utils/                 # Formatting and text utilities
│   ├── public/                    # Static assets (favicon, icons)
│   ├── index.html
│   ├── package.json
│   ├── vite.config.ts
│   ├── tsconfig.json
│   └── .env.example               # Credential template (never commit .env)
├── docs/
│   └── ARCHITECTURE.md            # Detailed architecture documentation
├── .gitignore
├── LICENSE
└── README.md

Pages Overview

Page Description
Dashboard Command centre with agent grid (WorkerPool), task flow visualisation, chat panel, and inspector
Situation Room Real-time operational view of all active sessions
Agent Studio Create and configure agents — edit profile files (AGENTS.md, SOUL.md), assign models, design workflows
Skills Hub Browse all installed OpenClaw skills with description, version, author, and enable/disable
Models Hub View configured model providers, available model IDs, context windows, and token limits
Runtime Health Gateway uptime, connection status, session metrics, log feed, manual reconnect
Changelog Version history with the ability to add new entries

Roadmap

  • Add persistent chat history with local storage
  • Implement drag-and-drop workflow builder in Agent Studio
  • Add model performance benchmarking view
  • Support multiple gateway connections
  • Add dark mode theme
  • Build end-to-end test suite with Playwright

License

This project is licensed under the MIT License — see the LICENSE file for details.


Contact

Yishen Ququyishen111@outlook.com


Last updated: 2026-04-12

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Real-time React control dashboard for the OpenClaw multi-agent AI framework

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