From Legacy Windows to AI Agent: The Journey of MintBridge to REMI (Final PoC)

🚀 The Origin: MintBridge, A Migration Toolkit for Legacy Hardware

Hello community! I'm jramonrivasg, an independent creator, and this is the story of how an old hardware problem evolved into the birth of my Patrimonial Intelligence Agent, REMI.

Context: My trusty legacy machine with the Intel Core i5 650 couldn't meet the requirements of Windows 10 22H2. I decided to migrate to Linux Mint, but the process was daunting for other legacy users. Thus, MintBridge was born—a modular toolkit to simplify the migration.

🛠️ Proof of Concept: The sda5 Migration (MintBridge Validation)

To validate my new working environment (sda7), I used MintBridge. The process was rigorously registered by my REMI agent, closing the cycle from a simple toolkit to an auditable use case.

Technical Details of Migration Success (Patrimonial Register):

• Task: Consolidate the entire development environment from sda5 to sda7.

• Key Command (rsync):
  

  rsync -avh --exclude 'sensitive_folder/' \
  /mnt/sda5/home/ramon/REMI_local/REMI/ /mnt/sda7/REMI/Validation/
  

  The process was verified with diff and du -sh to confirm structure integrity before consolidation.

🧠 The Leap of Faith: Introducing REMI, The Patrimonial Identity Agent

MintBridge is no longer just a script; it's a function integrated into REMI.

REMI is a bilingual AI agent designed to consolidate, simulate, and preserve technical and financial legacy.

Key Architectural Features (Confirmed by Audit):

• Agentic Core: Controls a multi-agent architecture (REMI_Auditor, OrquestadorRemi, ReplicadorRemi) for complex tasks.
• Security and Access (AuthBridge): Active integration with Auth0 and GitHub OAuth to secure access to protected resources.
• Persistence (Narrative Memory): The architecture is designed to use vector databases (Postgres/TimescaleDB) for narrative memory.

Important Note: The local MongoDB server installation failed due to my CPU's incompatibility (Core i5 650). This confirms the need for a cloud architecture (MongoDB Atlas / Postgres on Tiger Cloud) for the real, scalable persistence of the agent.

🌐 Next Steps (Roadmap and Deployment)

My focus is now finalizing the AuthBridge implementation and deploying the agent to a cloud environment so the narrative memory functions without the limitations of legacy hardware.

• Code Status: The remi-authbridge code is complete (Next.js, Auth0, and PG installed) and ready for upload and deployment.

Live Proof of Concept: [Insert Vercel/Glitch Link Here]

I appreciate the external audit! You can follow the development and modular architecture in my main repositories:

• [Insert remi-authbridge GitHub Link Here]
• [Insert REMI-agentico-patrimonial GitHub Link Here]