System Context

About Memorias

Discover the history, objectives, and the unique agent-driven technology behind this scientific research catalog.

About Memorias

Welcome to Memorias, a state-of-the-art scientific research repository and laboratory management portal. Memorias is designed to simplify and showcase academic work, including research publications, defended theses, active projects, scholarships, and members' profiles.

This portal is currently utilized actively by LIFIA (Laboratorio de Investigación y Formación en Informática Avanzada) to manage and catalog our research contributions and assets.


🤖 An Experiment in Agent-Based Software Development

Beyond its value as a practical, production-ready tool, Memorias is a living experiment in agent-based software engineering.

🚀 Highlights of Our Development Journey

  • No Manual Code: Not a single line of code in the migration, redesign, or implementation of this portal was manually written by a human.
  • Agent-First Mode: Almost all software engineering, architecture, and feature implementations were carried out in agent mode, using autonomous AI coding agents operating directly on the codebase.
  • Minimal IDE Intervention: The workspace was managed by agent instructions and command executions, representing a shift away from traditional, manual IDE code editing.

We invite researchers, developers, and visitors to learn both about the scientific achievements of LIFIA compiled within this portal, and about the incredible potential of autonomous AI agents in building modern, resilient, and enterprise-grade software.


🌍 Open Source & Collaboration

Interested in deploying Memorias for your own research laboratory, academic department, or study group? Or are you curious about exploring our agent-driven development workflows?

We warmly invite you to explore, clone, and use our open-source codebase! You can find the repository on GitHub:

👉 [casco/memorias-migration-antigrativy](https://github.com/casco/memorias-migration-antigrativy)

Feel free to fork the project, use it for your lab, submit issue reports, or share feedback on your own experiences with agent-built software systems!