Mneme came out of long-running AI coding sessions where important state kept getting lost due to context compaction.

Instead of retrieval or embeddings, it treats memory as an explicit, structured artifact and separates: – stable facts – task state – ephemeral context

The goal is to make memory boring, inspectable, and durable across sessions.

Happy to answer questions or hear why this is a bad idea