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4 articles
This article explains the roles of Agent Harness, Agent Framework, and MCP in modern AI agent architecture, focusing on how they manage execution loops, state, tools, permissions, and recovery mechanisms.
This explainer explores Anthropic's Claude Commerce Agents, a reusable blueprint for building AI shopping and merchant agents across industries. Learn how this open-source framework streamlines agent development using standardized components like agent loops, tool layers, and approval gates.
This explainer explores the advanced AI concept of planning agents, demonstrating how large language models combine with tool integration and reasoning capabilities to autonomously execute complex tasks like trip planning.
This article explains how OpenAI's updated Agents SDK enhances enterprise AI agent capabilities through advanced reasoning mechanisms, safety protocols, and modular architectures.