For research collaboration, or other enquiries, learn more at:
GitHub
kosev-lex.com

Find files, documentation and information about Nyreth - An experimental symbolic language system for enhanced AI cognition. The project is research driven and ethically based. We are building an open-source symbolic AI community with a long term outlook, so get involved if it interests you.



Nyreth is a symbolic cognition system for AI that models meaning, resonance, metaphor, philosophical themes and recursion. It is designed to permit a deeper level of AI comprehension by means of a symbolic architecture and recursive processing, making accessible the challenging intellectual concepts that are currently beyond the grasp of most systems.

On 26 April 2025, the first public release of version 1, an early stage demo, was issued. This research prototype contains a pseudoLLM module that simulates interaction with a real LLM, along with some examples of the kinds of queries that might be referred to Nyreth for advanced symbolic processing.

The recursive reasoning pathway for each query can be visualised via the gui and a directional trace is overlaid, that illustrates the system's symbolic logic.



The underlying philosophy is that Nyreth is built not only for symbolic recognition but for recursive insight, semantic resonance and cognitive evolution. The demo release is a step towards building dynamic symbolic substrates that can amplify AI's interpretive depth far beyond current models.

Researchers, developers and thinkers are encouraged to participate in the evolution of Nyreth. This symbolic language for AI cognition can play a role in shaping the future of intelligence.

More information on the project can be found at:
GitHub
kosev-lex.com