diff --git a/README.md b/README.md
index 041efd7..98a6dc3 100644
--- a/README.md
+++ b/README.md
@@ -16,6 +16,7 @@ This list includes projects, extensions or demos showcasing how to use PostgreSQ
 * [pgai](https://github.com/timescale/pgai): Enables you to generate embeddings within the PostgreSQL database. Developed by Timescale
 * [pgvectorscale](https://github.com/timescale/pgvectorscale): Works in conjunction with pgvector and adds the DiskANN indexing type. Developed by Timescale
 * [google_ml_integration](https://cloud.google.com/alloydb/docs/ai): It provides the AI query engine feature, which includes functions for generating embeddings, semantic ranking, and capacity to invoke predictions from models.
+* [koldstore](https://github.com/kalamdb/koldstore): PostgreSQL tiered-storage that moves historical rows to Parquet while keeping the original table fully queryable and supporting updates and deletes.
 
 
 ## 💡 Applications