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AI · August 30, 2026

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

Hillock: Local neuro-symbolic memory engine in <1.2GB VRAM launched on August 30, 2026 with 12 votes, #920 of 23,274 launches that month and more than 90% of that year's launches.

Visit github.com ↗Alternativestop 4% of August 2026

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

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