If we want to avoid making AI agents a huge new attack surface, we’ve got to treat agent memory the way we treat databases: with firewalls, audits, and access privileges. The pace at which large ...
A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.
RAG isn't always fast enough or intelligent enough for modern agentic AI workflows. As teams move from short-lived chatbots to long-running, tool-heavy agents embedded in production systems, those ...
Google senior AI product manager Shubham Saboo has turned one of the thorniest problems in agent design into an open-source engineering exercise: persistent memory. This week, he published an ...
AI teams are discovering that the most expensive part of an agent is not the model, it is the memory strategy wrapped around it. Retrieval-Augmented Generation has become the default pattern for ...
Kioxia Corporation today announced the successful demonstration of achieving high-dimensional vector search scaling to 4.8 billion vectors on a single server with its open-source KIOXIA AiSAQ(TM) ...
During the beta phrase, Dnotitia introduced MCP (Model Context Protocol)-based RAGOps and subsequently expanded the platform with AgentOps capabilities. The official release reflects real-world ...
BOULDER, Colo., Dec. 16, 2025 /PRNewswire/ -- Vectorize today released Hindsight, an open-source memory system for AI agents that, for the first time, surpasses 90% accuracy on LongMemEval, the ...
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Google's Turbo Quant slashes AI memory needs sixfold
Google’s newly released “Turbo Quant” paper has become a hot topic in the semiconductor industry. This algorithm maximizes AI ...
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