AI/ML

AI/ML

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n8n Now Runs My ENTIRE Homelab
n8n Now Runs My ENTIRE Homelab
Setup n8n in 5 min with https://hostinger.com/ncn8n + use code NETWORKCHUCK for a discount. In this video, I take n8n to the NEXT LEVEL by building an AI agent. Meet my new IT employee “Terry” who can monitor, troubleshoot, and even fix my homelab. From Docker containers to Plex, Proxmox, and UniFi, Terry learns how to keep everything running smoothly. This is not just automation; this is AI running my ENTIRE homelab. GUIDE / RESOURCES: 📃 Guide / Documentation: https://github.com/theNetworkChuck/n8n-terry-guide 📺 Part 1 (Baby Terry – first n8n video): https://youtu.be/ONgECvZNI3o?si=xCwIMQLjIjug-hNP TIMESTAMPS: 0:00 - Intro: Meet Terminator Terry (The AI IT Employee) 0:58 - Employee Onboarding: Teaching Terry the Basics 2:22 - Setting Up n8n in the Cloud (Hostinger Setup) 2:58 - Connecting Terry to Your Homelab with Twingate 3:15 - Building Terry's First Workflow in n8n 4:01 - Creating a Test Website (Docker Container Setup) 5:00 - Terry's First Tool: HTTP Request (Website Monitoring) 6:11 - Teaching Terry to Monitor Like a Human 7:43 - Terry's Second Tool: SSH Access (Docker Commands) 10:00 - Converting SSH to a Workflow Tool 11:06 - Terry Learns to Troubleshoot (Docker PS & Inspect) 13:05 - Giving Terry More Freedom (Dynamic Commands) 14:16 - Making Terry Autonomous (Schedule Trigger Setup) 17:54 - Telegram Notifications: Terry Reports Back 19:24 - Structured Output: Teaching Terry Clean Data 22:33 - Smart Filtering: Only Alert on Problems 23:09 - Level 2 Engineer: Teaching Terry to Fix Things 24:49 - The Port Conflict Challenge (Terry's First Real Test) 26:42 - Upgrading Terry's Brain (GPT-4 vs Mini) 28:18 - Human-in-the-Loop: Taking Back Control 30:27 - Setting Up Approval Workflows 32:02 - Terry Asks Permission Before System Changes 35:06 - Testing the Complete Workflow (Monitor → Troubleshoot → Approve → Fix) 37:02 - Connecting Terry to Your Real Homelab 37:40 - Unifi Network Control (API Integration) 38:55 - Proxmox Integration (CLI & API Access) 🔥🔥Join the NetworkChuck Academy!: https://ntck.co/NCAcademy **Sponsored by Hostinger SUPPORT NETWORKCHUCK --------------------------------------------------- ➡️NetworkChuck membership: https://ntck.co/Premium ☕☕ COFFEE and MERCH: https://ntck.co/coffee Check out my new channel: https://ntck.co/ncclips 🆘🆘NEED HELP?? Join the Discord Server: https://discord.gg/networkchuck STUDY WITH ME on Twitch: https://bit.ly/nc_twitch READY TO LEARN?? --------------------------------------------------- -Learn Python: https://bit.ly/3rzZjzz -Get your CCNA: https://bit.ly/nc-ccna FOLLOW ME EVERYWHERE --------------------------------------------------- Instagram: https://www.instagram.com/networkchuck/ Twitter: https://twitter.com/networkchuck Facebook: https://www.facebook.com/NetworkChuck/ Join the Discord server: http://bit.ly/nc-discord AFFILIATES & REFERRALS --------------------------------------------------- (GEAR I USE...STUFF I RECOMMEND) My network gear: https://geni.us/L6wyIUj Amazon Affiliate Store: https://www.amazon.com/shop/networkchuck Buy a Raspberry Pi: https://geni.us/aBeqAL Do you want to know how I draw on the screen?? Go to https://ntck.co/EpicPen and use code NetworkChuck to get 20% off!! fast and reliable unifi in the cloud: https://hostifi.com/?via=chuck how to use n8n to automate your homelab how to build an ai agent with n8n how to monitor docker containers with n8n how to automate proxmox with n8n how to set up plex monitoring in n8n how to use n8n with unifi how to make ai troubleshoot your server how to automate your home network with n8n how to connect telegram alerts to n8n how to build a self hosted ai helpdesk with n8n how to teach ai to monitor your website with n8n how to restart docker containers automatically with n8n how to use ssh in n8n workflows how to integrate api monitoring into n8n how to use n8n for server monitoring how to automate plex and unifi with n8n how to run ai workflows with n8n how to set up automated troubleshooting in n8n how to use n8n to fix server issues how to automate your homelab with ai #n8n #homelab #automation TAGS: n8n, home lab automation, AI agent, Terry the AI, Docker automation, Plex automation, Proxmox automation, UniFi API, IT automation, self-hosted AI, AI troubleshooting, network automation, Telegram alerts, DevOps tools, sysadmin tools, home lab project, monitor and fix servers, Docker containers, automation tutorial, NetworkChuck
#Automation#assistant#server#low code
·youtube.com·
n8n Now Runs My ENTIRE Homelab
GitHub - toon-format/toon: 🎒 Token-Oriented Object Notation (TOON) – Compact, human-readable, schema-aware JSON for LLM prompts. Spec, benchmarks, TypeScript SDK.
GitHub - toon-format/toon: 🎒 Token-Oriented Object Notation (TOON) – Compact, human-readable, schema-aware JSON for LLM prompts. Spec, benchmarks, TypeScript SDK.
🎒 Token-Oriented Object Notation (TOON) – Compact, human-readable, schema-aware JSON for LLM prompts. Spec, benchmarks, TypeScript SDK. - toon-format/toon
·github.com·
GitHub - toon-format/toon: 🎒 Token-Oriented Object Notation (TOON) – Compact, human-readable, schema-aware JSON for LLM prompts. Spec, benchmarks, TypeScript SDK.
NEW Kimi K2 Thinking - Best Open Model?
NEW Kimi K2 Thinking - Best Open Model?
In this video, I look at Kimi K2 Thinking from Moonshot AI, the most recent fully open reasoning model that scores higher than GPT-5 and Anthropic for multiple benchmarks. Blog: https://moonshotai.github.io/Kimi-K2/thinking.html Model Weights: https://huggingface.co/moonshotai/Kimi-K2-Thinking For more tutorials on using LLMs and building agents, check out my Patreon Patreon: https://www.patreon.com/SamWitteveen Twitter: https://x.com/Sam_Witteveen 🕵️ Interested in building LLM Agents? Fill out the form below Building LLM Agents Form: https://drp.li/dIMes 👨‍💻Github: https://github.com/samwit/llm-tutorials
#agent
·youtube.com·
NEW Kimi K2 Thinking - Best Open Model?
Transformers & Diffusion LLMs: What's the connection?
Transformers & Diffusion LLMs: What's the connection?
Diffusion-based LLMs are a new paradigm for text generation; they progressively refine gibberish into a coherent response. But what's their connection to Tra...
·youtube.com·
Transformers & Diffusion LLMs: What's the connection?
GitHub - samrolken/nokode
GitHub - samrolken/nokode

A web server with no application logic. Just an LLM with three tools. The Shower Thought

One day we won't need code. LLMs will output video at 120fps, sample inputs in realtime, and just... be our computers. No apps, no code, just intent and execution.

That's science fiction.

But I got curious: with a few hours this weekend and today's level of tech, how far can we get? The Hypothesis

I expected this to fail spectacularly.

Everyone's focused on AI that writes code. You know the usual suspects, Claude Code, Cursor, Copilot, all that. But that felt like missing the bigger picture. So I built something to test a different question: what if you skip code generation entirely? A web server with zero application code. No routes, no controllers, no business logic. Just an HTTP server that asks an LLM "what should I do?" for every request.

The goal: prove how far away we really are from that future. The Target

Contact manager. Basic CRUD: forms, database, list views, persistence.

Why? Because most software is just CRUD dressed up differently. If this works at all, it would be something.

#low code
·github.com·
GitHub - samrolken/nokode
On MiniMax M2 and LLMs with Interleaved Thinking Steps
On MiniMax M2 and LLMs with Interleaved Thinking Steps
In addition to Kimi K2 (which I recently wrote about here) and GLM-4.6 (which will become an option on Cerebras in a few days, when I’ll play around with it), one of the more interesting open-source LLM releases out of China lately is MiniMax M2. This MoE model (230B parameters, 10B activated at any given
·macstories.net·
On MiniMax M2 and LLMs with Interleaved Thinking Steps