Forbes contributors publish independent expert analyses and insights. Anjana Susarla is a professor of Responsible AI at the Eli Broad College of Business at Michigan State University. This voice ...

Imagine an AI assistant that doesn’t just follow instructions but learns from you—adapting to your preferences, refining its responses, and becoming better with every interaction. Sounds like a dream, ...

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 ...

Imagine interacting with an AI assistant that not only remembers your preferences but also learns from past conversations to improve its responses over time. Whether it’s recalling your favorite ...

A research team from Zhejiang University and Alibaba Group has introduced Memp, a framework that gives large language model (LLM) agents a form of procedural memory designed to make them more ...

Researchers at Mem0 have introduced two new memory architectures designed to enable Large Language Models (LLMs) to maintain coherent and consistent conversations over extended periods. Their ...

Memento-Skills lets AI agents rewrite their own skills using reinforcement learning, hitting 80% task success vs. 50% for standard RAG retrieval.

Amazon Web Services has introduced AgentCore, a managed platform specifically designed to bridge the challenging transition from AI agent prototypes to production-ready enterprise applications. The ...

In 2026, AI agents are expected to shift from experimental pilots to integral parts of enterprise operations, embedded in core workflows across industries. Advances in contextual memory, automation, ...