Nucleoid

Nucleoid is a declarative logic language designed to augment large language models (LLMs) with structured reasoning and learning capabilities. It enables developers to build neuro-symbolic AI systems that combine the flexibility of neural networks with the rigor of symbolic logic. By embedding logical rules and constraints directly into AI workflows, Nucleoid helps ensure more predictable, interpretable, and factually grounded outputs. The platform is intended for AI researchers, data scientists, and engineers who need to add reliable reasoning to LLM-based applications—especially in domains like knowledge graph construction, automated theorem proving, and explainable decision support. Nucleoid's logic language runs as a Python library, allowing seamless integration with popular Python AI stacks. Unlike traditional symbolic AI frameworks, Nucleoid is designed from the ground up to work with modern LLMs, using a unique syntax that bridges natural language and formal logic. It compiles logic programs into executable graphs that can be evaluated symbolically or used to guide LLM inference, reducing hallucinations and improving consistency. Nucleoid is open-source and free to use, with community support via GitHub and Discord. It is particularly suited for advanced developers comfortable with logic programming and Python, and is less accessible to beginners without a background in symbolic AI.