Symbolic Constraint Satisfaction And Optimization

A neuro-symbolic framework for building applications with LLMs at the core.

Unique: Represents constraints as symbolic expressions and uses LLM reasoning for exploration, combining symbolic constraint propagation with neural reasoning — most constraint solvers use pure symbolic or pure neural approaches

vs others: Provides hybrid symbolic-neural constraint solving with interpretable reasoning, whereas pure symbolic solvers lack flexibility and pure neural approaches lack guarantees