Agent memory
Agent memory is the set of systems that let an AI agent retain and recall information beyond a single context window, so it can carry knowledge, preferences, and experience from one interaction or session into…
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Agent memory is the set of systems that let an AI agent retain and recall information beyond a single context window, so it can carry knowledge, preferences, and experience from one interaction or session into…
Agentic Context Engineering (ACE) is a framework for scalable and efficient context adaptation in large language models (LLMs) that lets an AI system improve itself by treating its own context as an evolving
Agentic RAG (agentic retrieval-augmented generation) is a retrieval-augmented generation design pattern in which one or more autonomous large language model AI agents plan, execute, and revise a sequence of…
A computer-use agent (CUA) is a category of AI agent in artificial intelligence that performs tasks by directly operating a general-purpose computer's graphical user interface (GUI) the way a human does, by…
Tool use in artificial intelligence is the ability of a model-based system to request, coordinate, and use capabilities outside the model's ordinary token-generation process.