Show HN: AI memory with biological decay (52% recall)

🧠 "AI Memory Mimics Biological Decay for Smarter Recall"

This innovative AI memory system uses the Ebbinghaus forgetting curve to manage context like a living substrate, assigning a "strength" score to memories that reinforces data with each recall and prunes unused data. By layering a graph over a vector store, it achieves 52% recall accuracy, nearly double that of stateless vector stores, while cutting token waste by 84%. This biologically-inspired approach enables more efficient and effective context management for AI agents handling long-running projects.

guid

https://news.ycombinator.com/item?id=47914367

source_url

https://github.com/sachitrafa/YourMemory

author_name

SachitRafa

id: 2217
uid: 5DpLl
insdate: 2026-04-27 02:05:20
title: Show HN: AI memory with biological decay (52% recall)
additional: 🧠 "AI Memory Mimics Biological Decay for Smarter Recall"

This innovative AI memory system uses the Ebbinghaus forgetting curve to manage context like a living substrate, assigning a "strength" score to memories that reinforces data with each recall and prunes unused data. By layering a graph over a vector store, it achieves 52% recall accuracy, nearly double that of stateless vector stores, while cutting token waste by 84%. This biologically-inspired approach enables more efficient and effective context management for AI agents handling long-running projects.
category: Hacker News
md5:
guid: https://news.ycombinator.com/item?id=47914367
source_url: https://github.com/sachitrafa/YourMemory
updated:
image:
author_name: SachitRafa
author_link:
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