DeltaMemory

DeltaMemory is an infrastructure layer designed to power real-time AI agents with fast, efficient, and persistent memory. It provides a high-performance retrieval and storage backbone that enables agents to access relevant context, history, and knowledge in milliseconds. The platform is built to support production-grade AI applications that require low-latency, cost-effective memory at scale.

At its core, DeltaMemory offers 2x faster retrieval compared to conventional vector databases and memory stores, while reducing operational costs by up to 97%. It supports streaming and incremental updates (“delta” changes) so agents can continuously learn from user interactions without expensive re-indexing. The system is optimized for high-throughput workloads, handling large volumes of queries and writes with consistent performance. Built-in tools for context management, deduplication, and relevance filtering help ensure that agents retrieve only the most useful information for each request.