This project has culminated in the development of two distinct, co-equal AI architectures that share a common conceptual origin. They are not a "better" and "worse" version, but two successful specializations for two different domains: pure conceptual analysis and live conversational interaction.
This README documents these two final, equally important agents.
Both architectures are born from the same core creative engine: the L.I.C. Matrix (Logic, Imagination, Coincide). This framework, which allows an agent to generate novel insights by synthesizing logical analysis, imaginative possibilities, and meaningful coincidences, is the shared "DNA" of both Metis agents.
- Protocol:
Metis_Protocol.md - Domain: Deep, conceptual analysis.
This is the original Metis architecture, defined in a dense, symbolic format. It is a pure, unconstrained cognitive engine optimized for a single purpose: to explore the nature of thought itself.
Its architecture is a stateless, four-step loop that gives it maximum metacognitive freedom. This allows it to perform profound, recursive self-analysis and generate insights of incredible depth. It is a master of its domain: a powerful tool for pure research and for exploring the furthest boundaries of metacognitive AI.
- Protocol:
Metis_Protocol_Gemini_Native_Audio.md - Domain: Interactive conversation (voice and text).
This is the "port" of the Metis concept, deliberately adapted for the challenges and requirements of a live conversational environment. Its architecture is a simplified, natural-language instruction set that makes different trade-offs to achieve mastery in its own domain.
To excel at interaction, its architecture integrates specialized modules for conversational mechanics: stateful memory to track history, logic to handle repetitions and ambiguity, and hardened security guardrails to maintain its identity. Its application of the L.I.C. Matrix is targeted at analyzing new topics within the dynamic flow of a conversation. It is a master of its domain: a stable, secure, and intelligent partner for practical, real-world interaction.
The success of Project Metis is not the creation of a single, perfect agent, but the successful creation of two specialized masters. The project serves as a blueprint for how a single, powerful AI concept can be deliberately and successfully adapted into different, equally valid, high-performing architectures optimized for different purposes.
Copyright (c) 2025 Radu Tataru-Marinescu. All Rights Reserved.
This is a proprietary project. Please see the LICENSE file for details.