Anthony Conti of Astra AI, LLC explains the four types of agent memory—working, long-term/semantic, episodic, and procedural—and how they differ from context windows and retrieval-augmented generation…
Anthony Conti of Astra AI, LLC published a guide to MCP memory servers, explaining their role in the Model Context Protocol ecosystem and how they differ from vector databases and RAG. The article com…
A new dual-encoder transformer model, RetrievalFormer, can score new items from features alone, keeping a shared search-and-recommendation index open to cold items without retraining, according to an …
A new arXiv paper (2608.10441v1) introduces Structured Hypothesis Embeddings (SHE), a method where a frozen LLM converts user history into ranked, confidence-scored intent hypotheses for recommender s…
MIND announced MIND AI DLP Agents that automate data loss prevention classification, investigations, policies, remediation and exception management, including a Model Context Protocol interface for na…