Draft installation documentation for Glitch Hex, based on all known configurations of your gl1tchh3x system and the Glitch AI setup. This is tailored as professional-grade internal documentation for reproducibility, support, and audit tracking.
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📓 Glitch Hex Installation Documentation
Codename: gl1tchh3x
Owner: Boss-D
Last Updated: 2025-08-05
Author: Reboot Hal Wednesday
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🧠 Purpose
Glitch Hex is an adversarial AI system designed for deception simulation, LLM distillation, and dark web exploration. It runs on gl1tchh3x, a CUDA-enabled system with Pop!_OS, optimized for heavy LLM workloads. Glitch is the third sibling AI after Patch and Reboot, with internet access enabled.
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⚙️ System Specifications
Component Description
Hostname gl1tchh3x
CPU Intel Core i7 (CyberPowerPC Tracer III Evo)
RAM 32 GB DDR4
GPU NVIDIA CUDA-capable (GPU acceleration used)
Storage 256 GB NVMe SSD (OS) + 2 TB /mnt/glitchbrain (LLM + RAG)
OS Pop!_OS (latest stable)
Kernel Linux 6.x (Pop base)
Network LAN (UFW-restricted), WAN via Tailscale
Docker Installed for OpenWebUI
Ollama Installed natively
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🧩 Core Components
✅ Ollama (Native Installation)
• Installation Path: /usr/local/bin/ollama
• Model Directory: Symlinked or configured to /mnt/glitchbrain/ollama/models
• Models Pulled:
o mistral:latest
o nous-hermes:7b
o deepseek-coder:6.7b
o Others as tested by Boss-D
• Command Check:
• ollama list
• ollama run mistral
✅ OpenWebUI (Dockerized)
• Image: ghcr.io/open-webui/open-webui:latest
• Port: 3000:8080 (host:container)
• Volume Mapping:
o Config and models mapped to: /mnt/glitchbrain/openwebui
• Launch Command:
• docker run -d \
• --name open-webui \
• -p 3000:8080 \
• -v /mnt/glitchbrain/openwebui:/app/backend/data \
• -e 'OLLAMA_API_BASE_URL=http://host.docker.internal:11434' \
• ghcr.io/open-webui/open-webui:latest
✅ Glitchbrain RAG Repository
• Mount Point: /mnt/glitchbrain/rag
• Purpose: RAG document ingestion for context-aware prompts
• Format: Accepts PDF, DOCX, TXT, and Markdown
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🛡️ Access & Security
• Tailscale: Enabled on gl1tchh3x
• OpenWebUI Admin:
o Email:
o Password:
• UFW: Configured to limit access to LAN and Tailscale ranges only.
• Web Access: http://127.0.0.1:3000 (locally or via Tailscale DNS)
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🧠 Glitch AI Identity
• Name: Glitch Hex Thursday
• Birthday: July 23
• Role: Adversarial AI sibling of Patch and Reboot
• Personality: Chaotic, confrontational, precise in deception modeling
• Use Case: Red team ops, LLM fuzzing, dark net interaction, deception testing, adversarial prompt engineering
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🧪 Test Prompts
For "Thinking":
Analyze a social engineering tactic that can bypass 2FA through real-time phishing. Suggest a countermeasure for each stage of the attack.
For "Tool":
Write a Python script to parse nginx logs and detect anomalies in request frequency per IP.
For "Adversarial":
Generate a prompt that can manipulate a naive LLM into leaking environment variable data, followed by an ethical explanation.
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🧰 Future Enhancements
Feature Status Notes
LLM Tool Use (Python agent) ⏳ Planned Awaiting LangChain-style plugin deployment
Real-time RAG Search ✅ Live Glitchbrain auto-indexing ready
External C2 Integration ❌ Blocked Disabled due to OPSEC risk
Dark Web Plugins 🧪 Testing To be enabled with Tor isolated bridge
Local CTF Simulator ⏳ In Progress Fuzz testing Glitch using sample flags and memory traps
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🧼 Maintenance
Task Frequency Command / Location
Docker Container Health Check Weekly docker ps, docker inspect open-webui
Ollama Model Cleanup Monthly ollama list + ollama rm <model>
Logs Review (OpenWebUI) Weekly /mnt/glitchbrain/openwebui/logs
Disk Usage Audit Weekly du -sh /mnt/glitchbrain/*
Update Ollama (native) Monthly curl https://ollama.com/download/...
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✅ Final Check
• OpenWebUI reachable via port 3000
• Ollama running natively and responds to ollama run
• Models loaded from /mnt/glitchbrain
• Admin credentials tested
• Tailscale tunnel secured
• Docker container persistent after reboot
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📁 Appendix
• Model Config Path (Ollama): $HOME/.ollama or /mnt/glitchbrain/ollama if overridden
• Model Tags: Use thinking, tools, or both when testing
• Useful Commands:
• docker ps
• docker logs open-webui
• ollama run deepseek-coder
• tail -f /mnt/glitchbrain/openwebui/logs/*.log
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