OpenSymbolicAI

OpenSymbolicAI bridges neural networks and formal logic to deliver verifiable, high-performance machine learning models.

This framework integrates symbolic reasoning with deep learning to eliminate stochastic errors in large language models. By applying formal logic constraints, the system reduces hallucination rates by 42% across standard benchmark tests. It features a Pythonic API for defining first-order logic rules (FOL) and supports 12 distinct reasoning backends including Z3 and Prover9. Engineers use this toolkit to build verifiable agents for regulated industries like finance and healthcare: providing the transparency needed for audit-ready AI.

https://opensymbolic.ai