alexgrebeshok-coder

Nas Agent — AI skill for Claude Code

AI community

24/7 Autonomous AI Agent & Storage Watchdog for low-end ARM NAS (Asustor / Synology / QNAP) in 37 MB RAM.

How to install Nas Agent

This entry records only its repository, not the path inside it, so there is no exact command to give. Open alexgrebeshok-coder/nas-agent and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Nas Agent does

24/7 Autonomous AI Agent & Storage Watchdog for low-end ARM NAS (Asustor / Synology / QNAP) in 37 MB RAM.

Alternatives in AI

Guizang Ppt Skill — AI-agent Skill for generating polished HTML slide decks: editorial magazine and Swiss layouts, image prompts 24.9k ★
Ralph For Claude Code — by Frank Bria - An autonomous AI development framework that enables Claude Code to work iteratively on project 8k ★
Osaurus — Own your AI. The native macOS harness for AI agents -- any model, persistent memory, autonomous execution, cry 5.1k ★

README

🐾 nas-agent: 24/7 Autonomous AI Agent & Storage Watchdog for ARM NAS

**Run an autonomous AI keeper, archive search engine, and hardware watchdog directly on your home NAS (Asustor, Synology, QNAP) using just 37 MB of RAM.**

[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE) [![Memory Footprint](https://img.shields.io/badge/RAM_Usage-37_MB_VmRSS-brightgreen.svg)]() [![Platform](https://img.shields.io/badge/Architecture-ARM64_%7C_x86__64-orange.svg)]() [![Hardware](https://img.shields.io/badge/Hardware-Asustor_%7C_Synology_%7C_QNAP_%7C_Pi-blueviolet.svg)]()

The "Mac Mini for AI" Fallacy

Over the past year, homelab and self-hosted communities have seen countless posts recommending buying an M2/M4 Mac Mini ($600–$1,000) or high-end N100 mini-PCs just to run an always-on "personal AI agent", Telegram bot, or background cron assistant.

The argument usually goes: *"You need unified memory and lots of RAM for AI!"*

**That is a fundamental confusion between model inference and agent runtime.**

If you run local 70B parameter models at home, yes, you need 64GB+ unified memory.
But if your goal is an always-on 24/7 home keeper (indexing your storage, monitoring drives, checking backups, answering family queries via Telegram, and talking to dev agents), running local heavy inference burns electricity (30–60W idle) and sits idle 99% of the day.

Your NAS is already running 24/7. It draws 10–12W. And more importantly: **it sits physically on top of your multi-terabyte data.**

Architecture

Instead of heavy Python/Node.js runtimes (which consume 300MB–1GB RAM), `nas-agent` pairs a lightweight native **Rust agent daemon ([ZeroClaw](https://github.com/zeroclaw))** with fast, cost-effective frontier APIs (GLM-5.3, Claude 3.7 Sonnet, DeepSeek V3, GPT-4o-mini).

┌────────────────────────────────────────────────────────┐
│                   Asustor AS3302T NAS                  │
│  (Realtek RTD1296 Quad ARM64, 1.5 GB RAM,