iridite

iridite / openclawer

Public

One key Openclaw deployment - Deploy and manage OpenClaw AI agents with fnOS

dashboard fnos openclaw openclaw-deploy
26
6
85% credibility
Found Mar 09, 2026 at 11 stars 2x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

A web dashboard app for easily installing, configuring, and managing the OpenClaw AI agent gateway on fnOS NAS devices.

How It Works

1
🏠 Find the app

You discover this handy app for your NAS storage device and download the package from the app center.

2
📱 Install and open

Upload the package to your NAS, wait a couple minutes for setup, then click to launch the colorful web dashboard.

3
🧠 Connect AI brains

In the easy model manager, pick your favorite AI like Claude or GPT, enter your access code, and add it with one click.

4
💬 Link chat apps

Set up channels for Telegram, Discord, or others so your AI can chat wherever you do.

5
▶️ Turn it on

Hit the big start button on the dashboard to wake up your AI gateway and watch the status light up green.

🎉 AI ready to chat

Your personal AI assistant is live, responding in your chats, with full monitoring right in the dashboard.

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AI-Generated Review

What is openclawer?

Openclawer delivers a web-based management dashboard for deploying and running OpenClaw AI agents via Docker, handling gateway startup, model configuration, and messaging channels in one interface. It solves the hassle of manually configuring OpenClaw on servers or NAS devices by offering quick model presets for providers like Anthropic Claude or Alibaba Qwen, plus channel setup for Telegram, Discord, or Feishu bots. Built with Node.js and a lightweight HTML/JS UI, it proxies the OpenClaw control panel while auto-injecting auth tokens and settings.

Why is it gaining traction?

Its one-click Docker deployment stands out for GitHub users wanting instant OpenClaw agents without YAML tinkering or CLI rituals—hit port 18790 and get status monitoring, live logs, and config validation out of the box. Devs notice the quick-add buttons for popular models and seamless proxying to the agent dashboard, cutting setup from hours to minutes versus raw OpenClaw installs. The focus on agent channels makes it a hook for multi-bot workflows.

Who should use this?

Server admins deploying OpenClaw on homelabs or VPS for AI agent experiments, especially those integrating Telegram groups or Discord servers with LLMs. AI tinkerers building one-repository multiple projects setups will like the model/channel CRUD without editing JSON by hand. Skip if you're deep into custom OpenClaw forks needing low-level tweaks.

Verdict

Grab it for quick OpenClaw prototyping if Docker fits your stack—10 stars signal early maturity with solid docs in README, but watch for updates given the 0.85% credibility score. Solid for agents, but test in staging first.

(198 words)

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