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A powerful web-based dashboard for managing OpenClaw AI agents. Monitor system health, browse workspaces, manage sessions, edit blueprints, and interact with agents in real time.

15
1
100% credibility
Found Mar 23, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A web-based dashboard for monitoring OpenClaw AI agents' health, browsing workspaces, managing sessions, editing blueprints, and interacting directly.

How It Works

1
๐Ÿ” Discover easy AI agent manager

You hear about Claw Agent Dashboard, a friendly web tool to watch and control your AI helpers without tech hassle.

2
๐Ÿ“ฅ Quick setup with your AI system

Download simple files and connect to your existing AI setup so the dashboard knows where to look.

3
๐Ÿš€ Launch your control center

Open the web page and instantly see your agents' health, recent chats, and files all in one colorful view.

4
๐Ÿ‘€ Pick an agent to explore

Choose one of your AI friends to view live conversations, edit personality files, or check what's new.

5
โœ๏ธ Safely tweak and save changes

Make gentle edits with previews, track history, and apply updates without worry.

๐ŸŽ‰ Master your AI team effortlessly

Now you manage sessions, create new agents, and keep everything running smoothly from your browser.

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Star Growth

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AI-Generated Review

What is claw-agent-dashboard?

Claw-agent-dashboard is a powerful Python web dashboard for managing OpenClaw AI agents. It provides a single UI to monitor system health, browse agent workspaces, manage sessions, edit blueprints, and interact with agents in real time via message sending and model switching. Dockerized with Vue frontend and FastAPI backend, it replaces SSH sessions for OpenClaw operators handling multi-channel agents like Signal or Telegram.

Why is it gaining traction?

Real-time session viewers with paginated history, chat modes, and direct interaction stand out, plus blueprint diffs for safe edits and syncs. Full-text search across files/sessions (Elasticsearch optional), system metrics, file translation to Chinese, and version history add practical power. Mobile-responsive, bilingual UI, and easy Docker setup hook devs tired of log parsing.

Who should use this?

OpenClaw users running production agents across messaging channels, needing quick workspace browsing and blueprint management. AI devs prototyping agents who edit configs, monitor sessions, and debug interactions without CLI tools. Teams scaling multiple agents wanting health dashboards over fragmented logs.

Verdict

Grab it if you're on OpenClawโ€”clear docs and Docker quickstart deliver immediate value despite 1.0% credibility score and 15 stars signaling early maturity. Test thoroughly; it's powerful Python GitHub potential but needs community growth for prod confidence.

(198 words)

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