Persistent memory
for AI companions

How AI agents retain, organize, and recall what matters across conversations over time.

conversations memory recall
The Problem

Every conversation with an AI starts from zero. Context is lost, preferences forgotten, relationships unrecognized. As AI companions become central to daily life, the gap between what they could remember and what they actually retain defines the ceiling of the entire experience.

The Mission

Rekallix is building persistent memory systems for AI companions — solving how agents retain, organize, and recall what matters across conversations over time.

This sits at the intersection of retrieval, knowledge management, and conversational AI. The teams that crack it will define the next generation of AI products.

Retain
Extract and preserve what matters from every interaction — structured, typed, and ready for retrieval.
Organize
Manage memory over time — deduplication, lifecycle transitions, consolidation — so knowledge stays clean and current.
Recall
Surface the right memory at the right moment, balancing relevance, recency, and context without overwhelming the conversation.
Background

Rekallix is founded by a product leader with years of experience in mobile gaming, where products reached iOS top 50 grossing and scaled to multi-million dollar monthly revenue. That work centered on the same core question: how do you build systems that understand users deeply over time and respond accordingly?