Show HN: Elia – Governed hybrid architecture (LLM is capability, not authority) (github.com)

Elia, an open-source architecture for intelligent systems, has been introduced, emphasizing a governed, hybrid approach to AI that blends symbolic control with the use of Large Language Models (LLMs) as necessary. This innovative architecture aims to address critical challenges in contemporary AI systems, which often prioritize generative capabilities at the expense of control and reliability. Elia positions itself as an AI Operating System, where intelligence is orchestrated and monitored, ensuring that critical decisions are explicitly governed rather than left to autonomous neural models. The significance of Elia lies in its ability to maintain predictable, auditable, and resilient operations, particularly in regulated or reliability-critical environments. Key features include a structured governance layer for validation and safety, graceful degradation under neural model failures, and a clear separation of concerns that mitigates hidden feedback loops. As a resource for system architects, developers, and researchers, Elia proposes a paradigm shift in the AI/ML community, advocating for a model where intelligence is powerful yet always under supervision, challenging the black-box nature of many current AI frameworks.