Hyperdimensional Computing Python Packages

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

addernet

Neural "networks" with zero multiplications at inference. AdderNet for embedded systems.

torchhd-sparsr

Sparsr backend for Torchhd: run VSA/HDC operations on the Sparsr processor via a real PyTorch device

bhv

Boolean Hypervectors with various operators for experiments in hyperdimensional computing (HDC).

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.

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.

hdlib

Hyperdimensional Computing Library for building Vector-Symbolic Architectures in Python 3

hipercampo

Living, local-first memory for Claude built on hypervectors (VSA) — surprise-gated writing, sleep consolidation, active forgetting, and compositional role queries. MCP server, CPU-only, no embeddings required.

sqsketch

Fixed-size sketches of probability distributions: Bhattacharyya coefficient and Hellinger distance from ~1 KB per profile, with error independent of alphabet size. Library + fully verified paper (every number traced to a committed script).

holovec

Holographic vectors you can compute with. Bind structure, bundle sets, unbind components cross NumPy, PyTorch, and JAX.

bayes-hdc

Hyperdimensional computing in JAX, with statistical guarantees.

plato-room-phi

PLATO room knowledge integration measurement - Phi computation for tile quality assessment

smgp

Persistent, hallucination-free AI reasoning through spectral graph theory, hyperdimensional computing, and dedicated hardware acceleration.