AI Memory Engine for Agents, RAG, and Multimodal Apps

Build AI memory for agents and apps with LATRACE, an open-source memory engine that turns video, audio, and text into traceable long-term context.

AI memory for agents and applications

LATRACE is an AI memory engine for products that need more than short chat history. It gives AI agents, assistants, SaaS tools, wearables, and robotics systems a long-term memory layer that can store context, recall evidence, and track how entities and events change over time.

A memory engine instead of text-only RAG

Traditional RAG stores text chunks. LATRACE builds memory from video, audio, and text, then connects that memory inside a temporal knowledge graph. This makes AI memory easier to trace, explain, query, and reuse across agent workflows.

Why AI memory matters

AI memory lets agents remember user preferences, past sessions, entities, tasks, events, evidence, and state changes. Strong memory is the foundation for AI companions, copilots, AI glasses, embodied AI, robotics, and high-context SaaS automation.