Hillock: Local Neuro-Symbolic Memory Engine Running in <1.2GB VRAM
roandejager5 · hn · 2026-08-14
A developer open-sourced Hillock, a local neuro-symbolic memory engine. Its core advantage is being highly lightweight, consuming less than 1.2GB of VRAM during operation, making it ideal for providing long-term memory support to AI applications or agents on local devices.
More from coding & agent
- Tencent Releases UI-Mate-27B, a Desktop GUI Agent Model — tencent · 2026-08-24
- Comparing AI Subscriptions: DeepSeek API vs. Claude Pro vs. Local LLMs — Unlikely_Bluejay5392 · 2026-08-24
- Claude Code introduces 'Remote Control' feature to boost coding efficiency — rohanpaul_ai · 2026-08-24
- rauchg lays out fx extension philosophy: MCP, Skills, Plugins and Unix composition — AccBalanced · 2026-08-24
- Netflix details its production LLM judge: hundreds of thousands of recommendations scored weekly — omarsar0 · 2026-08-24
- smolvm passes Simon Willison's Fable 5 agent test as a secure sandbox — yawnxyz · 2026-08-24