Orchestration
SOPHIA treats AI as infrastructure: projects, tasks, workspaces, context and memory are structured explicitly rather than improvised around a chat interface.
Open architecture • Sovereign AI infrastructure
SOPHIA
Sovereign Orchestrator Platform for Holistic Intelligence Architecture.
An open architecture for building sovereign, secure and auditable AI systems.
SOPHIA explores how artificial intelligence systems can be deployed in controlled infrastructures using open technologies, local models and secure information pipelines.
AI infrastructure faces structural challenges
Artificial intelligence adoption raises several structural risks: dependency on proprietary platforms, information leakage, unreliable knowledge ingestion, weak governance and unstable context management.
Lack of sovereignty
Data Leakage
Hallucinations
Model Collapse
Context Loss
Security
The architecture integrates Zero Trust principles, controlled external acquisition, semantic validation and strong separation between internal services and external information flows.
Open Source
SOPHIA does not try to replace existing tools. It assembles open-source components into a coherent, auditable and reproducible architecture.
Architecture Overview
SOPHIA follows a Hub & Spoke architecture: a central orchestration layer coordinates memory, inference, tooling, external knowledge acquisition and isolated execution environments.
Users / IDE / API
│
▼
WireGuard Access
│
▼
+----------------------------+
| sophia-core |
| Orchestrator / LiteLLM |
+-------------+--------------+
│
┌──────────┼───────────┬──────────────┬──────────────┐
▼ ▼ ▼ ▼ ▼
sophia- sophia- sophia- sophia- sophia-
inference memory skills dmz sandbox
models Qdrant MCP tools web intake workspaces
│ │
▼ ▼
knowledge semantic validation
│ │
└──────────────┬──────────┘
▼
persistent memory
sophia-git (Forgejo) centralizes:
- sophia-brain
- Guesdon-Brain
- project repositories
Core Concepts
- Project Model — everything is structured as a project
- Brain / Repo / Workspace — memory, production and execution are separated
- Context Management — context is built explicitly
- Workspace Management — execution environments are isolated and reproducible
Distinctive Mechanisms
- Paranoïd Airlock — isolated web acquisition pipeline
- Search Fog — decoy queries to reduce correlation
- Semantic Court — validation before knowledge ingestion
- DLP — filtering of sensitive outgoing information
Key Technologies
The current proof of concept is based on a pragmatic open-source stack.
LiteLLM
Ollama
llama.cpp
Qdrant
Forgejo
OKD
Kubernetes
Project Status
SOPHIA is an experimental architecture project. The proof of concept infrastructure is deployed, the documentation is being published, and the platform model is progressively being stabilized.
Experimental proof of concept in progress
Phase 0–1
Physical foundations, bare-metal server, OKD cluster, WireGuard access and first security constraints.
Phase 2
GitOps layer, namespace segmentation, Forgejo, structuring of the three pillars: sophia-brain, Guesdon-Brain and projects.
Phase 3
AI routing layer, local inference, development workspaces, centralized tooling and improved execution workflows.
Phase 4+
Memory reinforcement, semantic validation, DLP filtering, observability and progressive industrialization.
Documentation
Author
SOPHIA is initiated by Damien Guesdon as an architectural exploration: how can organizations use artificial intelligence without losing control over their information systems?
The project builds on 20+ years of experience in infrastructure, networking and systems, extended by a current specialization in AI engineering.
A prior art description of the SOPHIA architecture has been deposited through the INPI e-Soleau system.
Explore SOPHIA
The project is still under active construction, but its documentation, concepts and public repository are already available.