Show HN: Kore – local AI memory layer with Ebbinghaus forgetting curve(github.com)

2 pointsby juanauritihace 5 meses0 comments

Show HN: Kore – local AI memory layer with Ebbinghaus forgetting curve

https://github.com/auriti-web-design/kore-memory

I built Kore because every AI memory tool I found either required cloud APIs, was too heavy, or stored everything forever with no pruning.

Kore is different: - Memory decay based on the Ebbinghaus forgetting curve — memories fade unless retrieved, with half-life based on importance (7 days for casual notes, 1 year for critical info) - Auto-importance scoring locally — no LLM call needed - Semantic search in 50+ languages — local sentence-transformers, zero API calls - Memory compression — auto-merges similar memories - Agent namespace isolation — multi-agent safe - Runs fully offline — SQLite + FTS5, FastAPI, no external services

pip install kore-memory[semantic] then kore to start.

Would love feedback on the decay formula and whether the Ebbinghaus approach makes sense for long-running agents.

1 comments

maxxminihace 5 meses