Show HN: Fixing AI memory blind spot on connected facts with benchmark (yourmemoryai.xyz)

A new project called YourMemory has been introduced, focusing on addressing the memory blind spot commonly found in AI systems. It leverages the Ebbinghaus forgetting curve to optimize memory retention for AI agents. This innovative memory layer facilitates not only the retrieval of direct queries but also the surfacing of related, forgotten information, significantly enhancing context coherence during multi-session interactions. In benchmark tests against three external datasets, YourMemory consistently outperformed other memory systems, completing every session flawlessly and maintaining efficient memory usage with a strategy that keeps memories alive based on their relevance and interconnectedness. This development is particularly significant for the AI/ML community as it promises to enhance the efficiency and effectiveness of AI systems, allowing them to operate with more human-like memory functions. With built-in APIs for agent authenticity and seamless configuration, users can easily manage shared and private memory access while ensuring privacy through encrypted keys. The groundwork laid by YourMemory could pave the way for advanced AI systems capable of retaining context across prolonged interactions, ultimately leading to more intuitive and responsive AI applications.