Hillock: Local neuro-symbolic memory engine in <1.2GB VRAM
Local, gradient-free neuro-symbolic memory engine combining Hyperdimensional Computing (HDC/VSA), Hebbian plasticity, and graph triples for offline AI. - roandejager/Hillock
In plain words
Hillock is a local memory engine for artificial intelligence that runs offline with minimal computing resources, using less than 1.2GB of VRAM. It combines hyperdimensional computing, Hebbian plasticity, and graph-based data structures to process information without gradient-based learning. The system is designed for developers and researchers who need neuro-symbolic AI capabilities on resource-constrained devices or offline environments.
written from the facts on this page · September 2026
Does the same job
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