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FSZJ / Openclaw-Jarvis-dashboard

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OpenClaw 贾维斯看板是一个面向 OpenClaw 多 Agent 系统的实时作战指挥中心。 它提供系统健康、Agent 运行态、任务管理与多模型用量看板（MiniMax / OpenAI / Gemini / GLM）的统一视图，支持本地 API、实时刷新与可视化配置，帮助你在一页内快速完成监控、诊断和操作。

21
5
100% credibility
Found Feb 17, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A visual web dashboard for monitoring OpenClaw's AI agents, showing system health, tasks, channels, and AI model usage in real time.

How It Works

1
🔍 Discover Jarvis Dashboard

You find this friendly control panel to watch over your AI helper named OpenClaw Jarvis.

2
📥 Easy One-Click Setup

Double-click the installer to get everything ready on your computer in just minutes.

3
🚀 Launch and Open

Run the starter and your browser pops open to the shiny dashboard.

4
🔐 Quick Log In

Enter the simple default name and password to step inside your control center.

5
📊 See Live Magic

Watch your AI's heartbeat, busy tasks, and brainpower usage update in real time.

6
🔌 Connect AI Services

Link your smart AI thinkers so the dashboard tracks their energy and limits.

7
📝 Manage To-Dos

Add tasks, check them off, and peek at history to stay on top of everything.

✅ Perfect Oversight

Sit back relaxed, knowing your AI runs smoothly with full view and easy controls.

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Star Growth

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AI-Generated Review

What is Openclaw-Jarvis-dashboard?

OpenClaw Jarvis Dashboard is a Python FastAPI + Vue app that serves as a real-time command center for OpenClaw multi-agent systems. It delivers a single-page view of system health (CPU, memory, gateway status), running agents, local tasks, and LLM usage quotas from OpenAI, Gemini, MiniMax, and GLM. Developers get instant monitoring, diagnostics, and controls like gateway restarts or backups via browser at localhost:18790, with easy macOS/Linux/Windows setup scripts.

Why is it gaining traction?

Live WebSocket refreshes keep agent status and metrics current without page reloads, while the Jarvis avatar UI signals system mood (ready, warning, offline). Model config saves API keys securely with validation, and task management handles todos/history in-browser. For OpenClaw users, it beats scattered logs by unifying agent oversight and cost tracking in one spot.

Who should use this?

OpenClaw developers running agent swarms who juggle multiple LLMs and need quick health checks during dev sprints. Suited for solo AI tinkerers or small teams deploying local gateways, especially tracking OpenAI/Gemini quotas amid task backlogs. Not for general-purpose dashboards.

Verdict

Grab it if OpenClaw is your agent framework—it's a practical ops booster despite 10 stars and 1.0% credibility score signaling early maturity, thin docs, and no tests. Fork and contribute to push it forward; skip otherwise.

(198 words)

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