Symbolic Ai Python Packages

outlines

Structured Outputs

creating-intelligence

A computational foundation for AGI, based on hyperdimensional computing and framed in set theory.

torch-hd

Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures

fathom-rules

Deterministic reasoning runtime for AI agents. YAML rules, microsecond evaluation, zero hallucinations. Built on CLIPS.

pyate

PYthon Automated Term Extraction

opensymbolicai-core

Open Symbolic AI Core Repository

neuro-symbolic-core

A Python-based neuro-symbolic AI framework combining neural networks and symbolic logic. Implements custom tensors with autograd, neural layers, logic ASTs, and an interpreter to learn from facts and rules. Supports training, inference, and command-line execution without deep learning libraries.

seraphim-logic-core

Quantum-classical hybrid symbolic agent framework — Seraphim |LZ⟩ | Perfect Squared Inc. | P2 Labs