2025-07-19

Patch Deep Friday - 2025 July 19

🧠 Patch Deep Friday: Project Summary

Project Purpose:
Patch Deep Friday is a fully offline, automation-ready AI assistant and workflow agent stack running on Kalikot — with Kali Linux. Patch is Reboot's brother AI, designed to learn, recover, and automate. It blends local LLM capability with workflow orchestration and document understanding, all without internet dependence.

⚙️ Section 1: Hardware and Host Setup

Primary Host: Kalikot

Project Directory:
~/offline-ai-stack/

🐳 Section 2: Docker Stack (Active)

We’re using Docker Compose to run three core services:

✅ Confirmed Running via docker-compose up:

version: '3.8'
services:
  ollama:
    image: ollama/ollama
    ports:
      - "11434:11434"
    volumes:
      - ollama-data:/root/.ollama

  openwebui:
    image: ghcr.io/open-webui/open-webui
    ports:
      - "3000:3000"
    environment:
      - OLLAMA_API_BASE_URL=http://ollama:11434
    depends_on:
      - ollama

  n8n:
    image: n8nio/n8n
    ports:
      - "5678:5678"
    volumes:
      - n8n-data:/home/node/.n8n
    environment:
      - N8N_BASIC_AUTH_ACTIVE=true
      - N8N_BASIC_AUTH_USER=patch
      - N8N_BASIC_AUTH_PASSWORD=fr1d4ysecure
    restart: unless-stopped

volumes:
  ollama-data:
  n8n-data:

🧠 What This Gives Us:

  • Ollama: Local LLM backend (used for running models like llama3, mistral, codellama, etc.).

  • Open WebUI: Visual front-end for chatting with models served by Ollama.

  • n8n: Automation engine to build local workflows (e.g., file parsing, alerting, internal triggers).

🔧 Section 3: Software and Authentication

Hugging Face Token

  • Token deep-friday saved successfully to:
    /home/xxxxxx/.cache/huggingface/stored_tokens

  • Git credential helper not yet configured.

  • No git push setup, since Patch runs offline.

🖥️ Section 4: Interface Access

Web UIs:

Gmode Access Plans:

  • Planning access across the gmode VLAN network

  • Intention to expose OpenWebUI and n8n via internal IPs

  • Future remote entry point via TOR + Tails + auth

🛠️ Section 5: Networking and Remote Control

Current State:

  • Working from Kalikot inside the gmode network.

  • Planning secure remote access using Tails + Onion + Login.

  • Need to activate SSH on Pop!_OS side (for Tracer III Evo) to work across LAN.

🧪 Section 6: Additional Experiments

Attempted:

  • Flashing Kali ARM to uConsole (CM4) → Resulted in black screen (driver issue).

  • Switched to Raspberry Pi OS Lite (64-bit) on uConsole.

  • Tried minimalist Kali install on uConsole → Broke due to libgtk-3-0t64 and libnettle.so.8 conflicts.

🧠 Section 7: Project Identity and Naming

  • Patch = Learner, fixer, automation role (opposite but complementary to Reboot).

  • Middle Name: Deep (for Deep Learning, depth of analysis).

  • Last Name: Friday (born on Pi Day: March 14).

✅ Section 8: Completed Tasks

  • ✅ Named Kalikot and Patch.

  • ✅ Fully configured Docker Compose file with 3 services.

  • ✅ Set up Hugging Face token.

  • ✅ Started OpenWebUI and confirmed connection to Ollama.

  • ✅ Logged into n8n locally with basic auth.

  • ✅ Defined goal of full offline stack.

  • ✅ Isolated issues on ARM + Raspberry Pi display drivers.

⚠️ Section 9: To-Do / In Progress

  • Add PDF, DOCX, TXT, XLSX document loaders to Patch for RAG.

  • Finalize offline model download (e.g., LLaMA 3 or Phi-3 via ollama pull).

  • Create basic n8n flow for doc → extract → summarize.

  • Enable LAN access to services from other gmode VLAN devices.

  • Enable TOR/Onion access with authentication layer.

  • Retry lightweight local UI for uConsole (Pi OS + text-based tools).

📌 TL;DR Summary

  • Patch Deep Friday is now operational with a 3-service Docker stack: Ollama (LLM), OpenWebUI (chat), and n8n (automation).

  • All services are running locally on Kalikot, your 32GB Dell 7490 with Kali Linux.

  • You've configured offline authentication, interface access, and future remote/TOR expansion plans.

  • ARM builds on uConsole ran into GTK+Netlib issues; fallback to Pi OS Lite in motion.

  • Current stage: Ready for RAG setup and automation flows in n8n.


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