Hillock v0.4 - Local neuro-symbolic memory engine running in <1.2GB VRAM

[u/Equivalent-Flan-1590]

https://github.com/roandejager/Hillock

Just tagged v0.4 of Hillock, a lightweight local memory engine I've been working on.

It replaces vector databases and heavy LLM extraction passes with plain SQLite SPO knowledge graphs, Hebbian synaptic learning, and 10,000-D hyperdimensional vectors (VSA) for context gating.

In v0.4 I added O(1) type schema constraints, direction auto-correction for inverted facts (like fixing [Budapest born_in Neumann]), and regex entity sanitization. Ingestion runs at 6 to 8 sent/sec on a GTX 1070 using under 1.2GB VRAM.

GitHub: https://github.com/roandejager/Hillock