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

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 ...

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI In the big conversation that companies and people are having ...

Millions of AI agents are entering production systems. Almost none can share operational experience. This is why that ...

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 ...

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...

Many engineering teams still rely on architecture optimized for transactional apps, not for AI systems that mix structured and unstructured data and live event streams. This legacy architecture has ...

Cloud database company Couchbase Inc. said today it’s trying to reduce the complexity of agentic application development with the launch of a new suite of AI Services that bundle model hosting and ...

Imagine a version of ChatGPT that remembers everything you’ve ever told it, your preferences, your ongoing projects, even the smallest details of your workflow. Now imagine this memory is stored ...

Nearly every SaaS product is either integrating AI or planning to do so. However, the term “AI” has become so broad that it’s ...