The key in agentic AI is establishing clear "expertise directories" and communication protocols using transactive memory ...

Researchers at the University of Illinois Urbana-Champaign and Google Cloud AI Research have developed a framework that enables large language model (LLM) agents to organize their experiences into a ...

Agentic AI’s biggest act for consumers isn’t the next flashy demo. It’s the end of amnesia. And once shared memory becomes ...

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 ...

It has become increasingly clear in 2025 that retrieval augmented generation (RAG) isn't enough to meet the growing data requirements for agentic AI. RAG emerged in the last couple of years to become ...

With 14M+ downloads, over 41,000 Github stars, and backing from leading AI infrastructure CEOs, Mem0 aims to solve AI agents' biggest problem: memory Despite rapid advances in AI capabilities, today's ...

Nvidia CEO Jensen Huang recently declared that artificial intelligence (AI) is in its third wave, moving from perception and generation to reasoning. With the rise of agentic AI, now powered by ...

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 ...

Amazon Web Services (AWS) is bulking up its AI agent platform, Amazon Bedrock AgentCore, to make building and monitoring AI agents easier for enterprises. AWS announced multiple new AgentCore features ...

Today's AI agents don't meet the definition of true agents. Key missing elements are reinforcement learning and complex memory. It will take at least five years to get AI agents where they need to be.