ChristianAlmurr

Mission Control dashboard for monitoring and managing AI agent fleets. Track costs, performance, context health, security posture, and market intelligence.

14
1
100% credibility
Found Mar 12, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A local web dashboard that monitors AI agent fleets by reading OpenClaw data files to display costs, performance metrics, security status, and project tasks in a dark-themed interface.

How It Works

1
🖥️ Discover Mission Control

You hear about a simple dashboard to watch over your team of AI helpers working on projects.

2
📥 Bring it home

Grab the free dashboard app that runs right on your computer, no hassle.

3
🔗 Connect your AI team

Point it to where your AI agents keep their notes and logs with a quick setup wizard.

4
Personalize it

Set your spending limits and favorite colors in a friendly guided tour.

5
👀 See the magic

Open the dark-themed screen showing your agents' live status, costs, and health checks.

6
📊 Stay in control

Track spending charts, task progress, and security alerts updating in real time.

🚀 AI fleet mastered

Your agents hum along perfectly monitored, saving time and spotting issues early.

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AI-Generated Review

What is openclaw-dashboard?

OpenClaw Dashboard is a local-first mission control app built in TypeScript with Next.js, designed to monitor and manage AI agent fleets from your OpenClaw installation. It pulls real-time data from your ~/.openclaw directory to track per-agent costs, performance metrics like latency and errors, context health bars, security posture (OAuth status, device tokens, git hooks), and extras like market intel feeds or sprint tasks. Think github mission control center for agents: dark-themed UI with constellation graphs, cost breakdowns over 24h/7d/30d, and SSE streams for live updates—no cloud dependency.

Why is it gaining traction?

It stands out as a switchable mission control github copilot alternative, deeply integrated with OpenClaw's logs and CLI for agent-specific insights like drift detection and execution traces that generic tools miss. Developers dig the read-heavy design (SQLite for metadata, Docker Compose for one-click deploy) plus niche views like design system QA pipelines or practitioner signals from Reddit/forums. The apollo mission github vibe—real-time pulse without setup hassle—hooks those tired of scattered terminal outputs.

Who should use this?

AI engineers running OpenClaw fleets who need to audit token spend before it spikes, or indie devs managing orchestrator/sub-agent hierarchies with context drift risks. Perfect for mission critical github workflows where you track security (FileVault, Tailscale) alongside tasks/sprints, or frontend teams eyeing DS fidelity scores. Skip if not on OpenClaw or preferring cloud dashboards.

Verdict

Grab it if OpenClaw is your stack—solid README, setup wizard, and Docker make it production-ready despite 12 stars and 1.0% credibility score signaling early maturity. Test locally via npm run dev; room for community contributions on market intel cron jobs.

(198 words)

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