Show HN: Kore – local AI memory layer with Ebbinghaus forgetting curve
juanauriti Thursday, February 19, 2026
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.