Agentic AI
Practical guides for building AI agents, tool-using assistants, memory-backed systems, and agentic workflows.
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WebMCP: Giving AI Agents a Structured Interface to the WebA deep-dive into WebMCP, Chrome's proposed standard for exposing structured tools to AI agents directly from web pages, covering the imperative and declarative APIs, React integration, real-world patterns, and what it means for the future of agent-native web applications.
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Background Tasks with AI Agents using MastraA hands-on explanation of how Mastra's background task system works internally, how to configure it, how clients stream progress, and how to handle suspension, resumption, and monitoring, using an order processing agent as the running example.
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Agent-to-Agent Protocol: How AI Agents Talk to Each OtherA beginner-friendly, code-oriented explanation of the Agent-to-Agent protocol, agent cards, tasks, streaming, MCP comparison, context IDs, and how to connect it with a Mastra agent.
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Building AI Agents and Agentic Workflows with MastraA hands-on introduction to Mastra, a TypeScript framework for building production-ready AI agents with tools, memory, structured output, and human-in-the-loop workflows.