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8 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 article explains what MCP servers are, how they help AI systems communicate, and why they're becoming a new target for cyberattacks as AI adoption grows.
This article explains how Google's new AI platform, Gemini Enterprise for Legal, automates legal tasks using large language models and integrates with existing legal software through MCP connectors.
Okta introduces Model Context Protocol (MCP) scoping to reduce AI agent token costs by minimizing the 'tool tax' associated with tool evaluations.
Learn what MCP gateways are, how they work, and why they're important in the AI world. This explainer breaks down a key AI concept using simple analogies and examples.
Learn how the OpenSpace framework enables self-evolving AI agents by integrating modular skills, multi-modal coordination, lineage tracking, and low-cost reuse strategies for scalable and adaptive AI systems.
Learn how Model Context Protocol (MCP) lets AI assistants control your computer devices like Stream Deck buttons, making computing more efficient and accessible.
WordPress.com now allows AI agents like Claude and ChatGPT to write, publish, and manage content with human oversight.
