What Is the Model Hardware Standard — AI That Runs Lab Gear
Anthropic's Model Hardware Standard lets AI agents like Claude safely operate lab robots, microscopes, and factory equipment — turning weeks of custom integration into minutes.
Read more →Model Context Protocol (MCP)
The Model Context Protocol (MCP) is an open standard that lets AI models connect to outside tools, files, and apps through a common interface instead of custom code for each one. This hub covers MCP’s adoption, tooling, and what it enables for AI agents.
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A2A Agent Protocol Joins AAIF, Landing Alongside Anthropic's MCP
Google's Agent2Agent protocol has become a hosted project of the Linux Foundation's Agentic AI Foundation, placing it under the same governance as Anthropic's MCP standard.
Read more →Binance Launches Agent OS to Let AI Agents Trade Crypto
Binance opened its exchange to AI agents on August 20 with Agent OS, letting tools like Claude Code, ChatGPT, and Codex trade, check balances, and manage wallets under permissions the user sets.
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What Is A2A — and How Is It Different From MCP?
A2A is an open standard that lets AI agents from different companies find each other and hand off tasks directly — a different job from MCP, which connects an agent to its own tools.
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What Is Context Engineering — and How Does It Differ From Prompting?
Context engineering is the practice of managing everything an AI model sees — instructions, memory, tools, retrieved data — not just the prompt. Here's what it means and why it matters for AI agents.
Read more →What Is MCP (Model Context Protocol) — and Why Does It Matter?
MCP is an open standard that lets AI models like Claude and ChatGPT connect to outside tools, files, and apps — instead of needing custom code for every single connection.
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