Agent memory is the set of mechanisms that allow AI agents to retain, organize, and retrieve information across sessions. Learn how episodic, semantic, and procedural memory work in AI agents.

Why wallets matter for the agentic economy In a traditional digital transaction, a human enters a credit card number or clicks ‘Pay Now.’ In an agentic economy, an AI agent needs to initiate, sign, and settle transactions autonomously — often across multiple blockchains and payment rails. The digital wallet becomes the agent’s identity and authorization…

An AI agent is LLM-powered software that reasons, plans, and executes multi-step tasks autonomously using tools. Learn how agents differ from chatbots and copilots.

Learn what delegation is in AI agents, how it works through privilege attenuation, common patterns like orchestrator-workers, and why multi-hop delegation is a key unsolved challenge in agent security.

Orchestration is the coordination layer that decides which AI agent acts, in what order, with what data, and when to stop. Learn the five core patterns: sequential, concurrent, orchestrator-workers, handoff, and evaluator-optimizer.

How adversarial attacks work Machine learning models learn by finding patterns in data. When you show a model thousands of pictures of stop signs, it learns to recognize the visual patterns that define ‘stop sign’—the red octagon, the white border, the letters S-T-O-P. Adversarial attacks exploit this learning process by adding carefully calculated noise or…

The Universal Commerce Protocol (UCP) is Google’s open standard enabling AI agents to discover products, build shopping carts, and complete purchases across different merchants and surfaces.