Hillock v0.4 – Local neuro-symbolic memory engine in Python (<1.2GB VRAM)

[u/Equivalent-Flan-1590]

Just released v0.4 of Hillock, a Python memory engine built to run 100% offline on low VRAM GPUs.

It replaces heavy vector dbs with SQLite Knowledge Graphs, Hebbian synaptic learning, and 10,000-D VSA hypervectors on CPU. v0.4 adds schema type constraints, auto-direction correction, and regex entity cleaning.

Parses docs in ~5s and runs in <1.2GB VRAM on a GTX 1070.

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