Neuro Symbolic Python Packages

synalinks

Keras based framework for neuro-symbolic LM systems

contextgc

ContextGC: Autonomous Semantic Context Defragmenter for Long-Horizon AI Agents — Hack Devengers 2.0

holographic-vsa

High-performance Holographic Memory System (HMS) for Node.js, powered by Rust. This library implements Vector Symbolic Architectures (VSA) using Binary Spatter Code (BSC) to enable semantic search, analogical reasoning, and associative memory at scale.

grounded-reasoning

Zero-token, precision-guaranteed relation-algebra verifier for LLM/agent multi-hop reasoning

clokai

New Eadge of Archs

charactermemory

Advanced Memory for LLM characters

mowl-borg

mOWL: Machine Learning library with Ontologies

scpn-fusion

Evidence-bounded tokamak physics and control toolkit with differentiable free-boundary equilibrium solvers, validation campaigns, Python and Rust.

scpn-control

Control-grade tokamak runtime with neuro-symbolic controllers, fail-closed admission, replay evidence, Python and Rust.

dir-core

​A neuro-symbolic runtime architecture for AI agents. Enforces zero trust privilege separation between probabilistic LLM reasoning and deterministic kernel execution. Prevents agent drift with real-time invariants and decision telemetry for auditable autonomy.

code-oracle

Sub-50ms Neuro-Symbolic Verification Oracle for AI Coding Agents

ablkit

An efficient Python toolkit for Abductive Learning (ABL), a novel paradigm that integrates machine learning and logical reasoning in a unified framework.

scpn-fusion-rs

Evidence-bounded tokamak physics and control toolkit with differentiable free-boundary equilibrium solvers, validation campaigns, Python and Rust.

mseep-synalinks

Keras based framework for neuro-symbolic LM systems

embedpvp

EmbedPVP: Embedding-based Phenotype Variant Predictor

abductive-learning

An efficient Python toolkit for Abductive Learning (ABL), a novel paradigm that integrates machine learning and logical reasoning in a unified framework.