Vincent Dubuisson PRO

## Research & Development in Sovereign Agentic AI I am developing a research and experimental environment focused on **sovereign agentic artificial intelligence**, with the goal of designing AI systems that can operate locally, securely, audibly, and with progressively greater autonomy while remaining under human control. This work explores a **local-first and privacy-first** approach in which data, models, tools, execution policies, and agent memory can remain under the direct control of their owner or organization. The objective is not simply to run a language model locally, but to progressively build a complete **sovereign agentic AI infrastructure**. Research and development areas include: * orchestration of specialized AI agents; * local Large Language Model execution; * agent profiles, skills, and capability management; * policy and authorization systems; * persistent memory and agent continuity; * Retrieval-Augmented Generation (RAG); * vector databases and knowledge systems; * controlled access to tools, APIs, and external services; * infrastructure and agent observability; * action traceability and auditability; * secure communication between agents and services; * backup, restoration, and disaster recovery; * execution environment isolation; * integration of local CPU and GPU resources and, when appropriate, remote computing capacity. A major focus of this research is **technical governance**. An AI agent should not simply receive unrestricted access to a computer or a collection of tools. Its capabilities should be definable, restricted, observable, auditable, and revocable. The experimental architecture combines technologies around **Python, APIs, local services, containers, databases, vector databases, local LLMs, RAG, Git, and observability systems**. The project also investigates multi-agent architectures where specialized agents can collaborate on tasks such as software development, analysis, documentation, supervision, research, automation, and service administration. ### Vision The long-term objective is to build an ecosystem in which an individual or organization can operate its own AI infrastructure: **its models, its data, its memory, its agents, its policies, and its tools.** AI sovereignty does not necessarily mean operating without any external resources. It means retaining control over the architecture, data, permissions, and decisions governing how those resources are used. ### Research principles **Local-first · Privacy-first · Human-controlled · Auditable · Modular · Recoverable · Open technologies** This project is an **ongoing experimental research and development initiative**. Some components are already operational, while others remain under design, validation, or prototyping. The long-term ambition is to contribute to agentic AI architectures that are more **transparent, controllable, resilient, and accessible**, particularly for developers, independent professionals, SMEs, and organizations seeking greater control over their digital and AI infrastructure.