what is legalops-ai-architecture fr?

This repository is a personal project from someone who leads legal operations at a company and has also built a working multi agent AI system on their own infrastructure. Rather than being written by a software engineer learning about legal work, it comes from a legal operations expert who taught themselves how to build AI agent systems, and the repo shares sanitized versions of the real patterns and code used in production. The system is organized around three main ideas. The first is a five layer memory structure for AI agents, designed so that not every fact loads into the agent every time it runs. A small always on layer holds core identity and rules, while other layers only load when something specifically calls for them, which keeps the main coordinating agent from getting overloaded with detail. The design also separates knowledge meant for the main orchestrator from knowledge meant only for specialized helper agents, and tracks whether copied information is still accurate using a content based check rather than a simple timestamp. The second idea is an always on agent platform, meaning the author turned a command line coding assistant into a service that keeps running in the background and can be reached through a web client, chat, voice, or other channels, not just a terminal. It also lets a live session be picked up on a different device without losing progress. The third idea is a set of decision making and safety practices, including having multiple AI models propose a plan independently before combining and stress testing the result, and running a structured pre check before any major architectural change to catch failure modes early. The repo includes real documentation files, templates, and a small Python search tool for browsing agent session logs, all sanitized for public sharing. It runs on self hosted hardware the author manages personally, with no reliance on third party managed AI services. This is a niche, personal project aimed at people interested in legal technology and AI agent architecture, with 1 star so far.