Hebbian Learning Python Packages

neuralmind

Persistent memory for AI coding agents. Your agent learns your codebase the way a senior engineer would — what files go together, what you usually edit next. Works with Claude Code, Cursor, Cline, Continue. 100% local. (Side effect: 12-50× cheaper code questions.)

sorn

PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym

sillage

Your language model forgets everything. Sillage gives it a 4 MB memory that persists across sessions, no gradients, no fine-tuning, no growing index. Beats an unbounded kNN-LM at 1/13 the storage (perplexity 31 → 17). CPU-only, fully reproducible, four preprints with Zenodo DOIs.

ngclearn

NGC-Learn: Computational Neuroscience and NeuroAI in Python

biosnn-bus

脉冲神经网络认知原型：纯局部学习规则（无代理梯度）+ SNN 自主调度 LLM。Spiking neural network cognitive prototype — purely local learning rules (no surrogate gradients), SNN autonomously schedules an LLM, modality-plugin architecture. 研究原型，非生产框架 / research prototype, not a production framework.

nouse

A persistent epistemic substrate for AI. Nous treats language models as larynx, not mind, and benchmarks epistemic structure instead of output fluency.

pynmsnn

NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch

complexnetwork

Criticality analysis on complex networks using Power-law scaling functions, exponential relations, and phase transitions

tensorflow-engram

tensorflow-engram: A Python package for Engram Neural Networks, adding biologically-inspired Hebbian memory and engram layers to TensorFlow/Keras models, supporting memory traces, plasticity, attention, and sparsity for neural sequence learning.