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Browsing: AI Agents
Guides to AI agents and agentic AI: the best agents for each industry and task, agent frameworks and protocols such as MCP and A2A, and how to build, test and govern agents safely.
What is agentic AI? A clear 2026 guide to how autonomous AI plans, uses tools and completes multi-step work, how it differs from generative AI, and its risks.
What is MCP? The Model Context Protocol in plain English: how it works, its three primitives, the July 2026 spec overhaul, and MCP vs API vs A2A.
What is the Claude Agent SDK? Anthropic’s Python and TypeScript library for building agents on Claude Code’s harness – features, pricing and MCP.
Multi-agent AI systems explained: the six orchestration patterns, MCP and A2A protocols, the real 15x token cost, and when a single agent still wins.
The best AI agents for security questionnaires in 2026: Conveyor, Vanta, Drata, Arphie, SiftHub and SecurityPal compared on price, accuracy and source citation.
The best AI agent frameworks in 2026: LangGraph, CrewAI, OpenAI Agents SDK, Google ADK and Claude Agent SDK compared on state, protocols and production fit.
The best AI coding agent for 2026, compared: Claude Code, Codex, Cursor, Copilot, Devin and Cline by autonomy, SWE-bench score, price and how to choose.
LangGraph vs CrewAI: choose LangGraph for stateful, auditable production agents and CrewAI for fast role-based multi-agent builds. Decision rule.
The A2A protocol lets AI agents from different vendors find each other and share tasks. Agent Cards, v1.0 and when to use A2A instead of MCP.
The best AI agent for research in 2026, compared. ChatGPT, Perplexity, Claude and Gemini Deep Research plus Elicit rated on depth, citations, speed and cost.