Hacker News

Contributions and comments welcome; each marker is a GitHub issue.

site: https://unixmagic.net

[1] https://news.ycombinator.com/item?id=43019136

I put this together (with Claude) as a semi-gamified way for folks to learn about startup equity. Take a look, and share your scorecard :)

This implementation experiments with a biological approach by using the Ebbinghaus forgetting curve to manage context as a living substrate. Memories are assigned a "strength" score where each recall reinforces the data and flattens its decay curve (spaced repetition), while unused data eventually hits a threshold and is pruned.

To solve the "logical neighbor" problem where semantic search misses relevant but non-similar nodes, a graph layer is layered over the vector store. Benchmarked against the LoCoMo dataset, this reached 52% Recall@5, nearly double the accuracy of stateless vector stores, while cutting token waste by roughly 84%.

Built as a local first MCP server using DuckDB, the hypothesis is that for agents handling long-running projects, "what to forget" is just as critical as "what to remember." I'd be interested to hear if others are exploring non-linear decay or similar biological constraints for context management.

GitHub: https://github.com/sachitrafa/cognitive-ai-memory

https://www.letsrun.com/news/2026/04/15930-sabastian-sawe-sh...

https://news.adidas.com/running/two-adidas-athletes-sabastia...

Author here. Feel free to send questions of any kind.