DeltaMemory – Cognitive memory layer for AI agents with knowledge graph learning

Summary: DeltaMemory is a Rust-native cognitive memory system for AI agents that extracts facts, builds knowledge graphs, and learns over time. It enables persistent memory across sessions, unlike vector databases or retrieval-augmented generation (RAG) methods, improving context retention and relationship understanding.

What it does

DeltaMemory ingests, recalls, and reflects on structured facts to create a knowledge graph that evolves with each interaction, providing a true memory layer rather than simple document retrieval.

Who it's for

It is designed for developers building AI agents that require persistent, evolving memory to maintain context and preferences across sessions.

Why it matters

It solves the problem of AI agents losing context between sessions by providing a scalable, efficient memory system that supports long-term learning and relationship understanding.