Discover how the Hermes AI agent uses self-correction to improve its reasoning. Its ability to identify and fix its own ...
Matt Kimball, vice president and principal analyst at Moor Insights and Strategy, told VentureBeat the data layer is where ...
When standard RAG pipelines retrieve redundant conversational data, long-term AI agents lose coherence and burn tokens.
LangSmith Fleet is an enterprise platform for AI agents with memory, Slack and Gmail integration, and human approvals for ...
Oracle announces agentic AI capabilities for Oracle AI Database, including Private Agent Factory, Deep Data Security, and ...
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 ...
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 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 ...
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 ...
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 ...
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