Скачать или смотреть AI Agents: Architecture, Memory, Tools, and Guardrails

A comprehensive overview of Autonomous AI Agents, focusing on their architecture, operational challenges, and practical applications in enterprise settings. A core theme is the distinction between simple Retrieval Augmented Generation (RAG) and Stateful Memory systems, with sources highlighting how persistent, dynamic memory is essential for collaborative, multi-session agent behavior. Discussions cover the agent’s Core Agent Cycle—Perception, Reasoning, and Action—and advanced planning techniques like Graph-based Agent Planning (GAP) to enable efficient parallel tool use and reduce latency. The texts also address the critical need for Guardrails and Real-Time Failure Detection to manage security risks like prompt injection and tool misuse, particularly given the new capability of autonomous code generation. Furthermore, the material explores the role of AI knowledge bases in enhancing customer support, and contrasts structured AI agent frameworks like CrewAI with more flexible ones for building production-ready, highly reliable systems.