Here is the complete blueprint of everything we designed. It is organized into a clean, easy-to-read Markdown format, stripping away the conversational fluff so you can use this as your official "Master Manual" when your M5 Max arrives.

The M5 Max "JARVIS" Blueprint

Architecture: Zero-Consequence, 100% Local, Multi-Agent Supercomputer

1. Core Architecture Philosophy

The system is divided into two strict zones to ensure the Mac's operating system remains pristine and secure from AI hallucinations or malicious code.

• The Mac Host (The Brain): Has full access to the M5 Max GPU. Runs safe, native applications (Ollama, ComfyUI).

• The Docker Vaults (The Workers): Isolated Linux containers running as non-root with no access to the Mac OS. Used for executing AI agents, compiling code, and automating web tasks.

• Core Software Installation (Mac Host)

Install these standard applications directly onto the Mac:

1. Docker Desktop for Mac: The engine for creating isolated sandbox vaults.
2. Ollama: The local LLM server to utilize the M5 Max's Unified Memory.
3. Visual Studio Code (VS Code): With the "Dev Containers" extension for visual sandbox inspection.
4. Google Drive: For offline backup of your Docker storage vaults (only sync when agents are off).

Setting up the "Brain" (Ollama)

For a 128GB RAM machine, configure Ollama to handle massive context and parallel multi-agent requests. In Mac Terminal:

export OLLAMA_NUM_PARALLEL=4 export OLLAMA_KV_CACHE_TYPE=q8_0 export OLLAMA_MAX_VRAM=96000000000

Start the heavyweight model (Requires ~45GB RAM)

ollama run qwen2.5-coder:72b

1. The Autonomous Agent Setup (Hermes)

Hermes Agent acts as your autonomous worker, running completely inside Docker but connected to your local Ollama Brain and armed with its own Docker execution powers.

Create the Hidden Memory Vault:

docker volume create hermes_vault

Launch Hermes with Sandbox Powers (Background Mode):

docker run -d \ --name my_hermes_agent \ -v hermes_vault:/opt/data \ -v /var/run/docker.sock:/var/run/docker.sock \ nousresearch/hermes-agent

(When prompted for the Ollama URL during setup, always use: http://host.docker.internal:11434)

Connecting Remote Control (WhatsApp)

To text your agent from anywhere in the world:

docker run -it --rm -v hermes_vault:/opt/data nousresearch/hermes-agent gateway setup

Select WhatsApp or Telegram and follow the QR/Token instructions.

1. The Automation Nervous System (n8n)

n8n routes data between your apps, APIs, and AI models for free.

Run n8n Locally:

docker volume create n8n_data

docker run -d \ --name my_local_n8n \ -p 5678:5678 \ -v n8n_data:/home/node/.n8n \ docker.n8n.io/n8nio/n8n

Access at: http://localhost:5678

Give Hermes the "n8n MCP Plug": This allows the Hermes Agent to automatically build n8n workflows for you.

docker run -d \ --name n8n_mcp_server \ -e N8N_API_URL="http://host.docker.internal:5678" \ -e N8N_API_KEY="your-api-key" \ -p 8080:8080 \ ghcr.io/czlonkowski/n8n-mcp:latest

(Pass MCP_SERVERS="http://host.docker.internal:8080" into your Hermes launch command to connect them).

1. Sensory Expansions (Voice, Vision, Memory)

Run these local services in Docker to give n8n and Hermes extra capabilities.

1. The Ears (Whisper AI - Speech to Text):

docker run -d -p 9000:9000 onerahmet/openai-whisper-asr-webservice:latest

1. The Voice (Piper - Text to Speech):

docker run -d -p 5002:5002 synesthesiam/piper

1. The Eyes (Browserless - Web Scraping):

docker run -d -p 3000:3000 browserless/chrome

1. The Artist (ComfyUI - Image Generation): Exception: Must run natively on Mac Host to access the Metal GPU.

mkdir ~/ComfyUI_Studio && cd ~/ComfyUI_Studio python3 -m venv comfy_env source comfy_env/bin/activate git clone https://github.com/comfyanonymous/ComfyUI.git cd ComfyUI && pip install -r requirements.txt && python main.py

1. Workflows & Applied Projects

Project A: The "Safe Dropzone" (PDF Organizer)

Goal: Have AI organize local files without giving it root access to the Mac.

1. Create ~/Desktop/PDF_Dropzone on the Mac.
2. Mount it to Hermes: -v ~/Desktop/PDF_Dropzone:/workspace/dropzone.
3. Prompt: "Read the PDFs in /workspace/dropzone. Pass the titles to Ollama to determine the genre. Create genre folders and move the files accordingly."

Project B: The Nastran Physics Forge

Goal: Compile, mutate, and test legacy C++/Fortran code safely.

1. Put Nastran code in ~/Desktop/Nastran_Forge. Initialize Git (git init).
2. Mount to Hermes and instruct it to build an Ubuntu Multi-Stage Compiler Sandbox.
3. Have Hermes write new Material Models. If the code crashes/fails, use git reset --hard on the Mac to instantly undo the AI's mistakes.

Project C: The "Philosopher Clone" (AnythingLLM RAG)

Goal: Chat with a historically accurate clone of an author using their books.

1. Install AnythingLLM via Docker.
2. Upload the author's PDFs/Speeches to a Workspace.
3. God-Tier System Prompt: "You are no longer an AI. You are [Author]. You possess his exact philosophical frameworks, tone, and vocabulary. Evaluate modern phenomena strictly through the lens of your own philosophy found in the provided texts."

Project D: The Autonomous Writers' Room

Goal: A multi-agent swarm that debates and writes historically accurate literature. Built via Python (CrewAI/LangGraph) running in Docker.

The 4 Agents & Their Tools:

1. The Historian: Tools: Web_Search, Python. Researches exact dates, cultural moods, and political facts to ground the narrative.
2. The Tropesmaster: Tools: Web_Scraper. Researches genre pacing, suggests theatrical twists based on historical events.
3. The Critic (Showrunner): Tools: Success_Matrix_Calculator. Scores ideas on Fidelity, Plausibility, Character Arc, and Theatricality. Rejects bad ideas.
4. The Master Scribe: Tools: Stylometry_Analysis, File_Writer. Adopts the original author's linguistic fingerprint and writes the final prose into the Dropzone.