Tech

5 Things Every AI Engineer Should Know About Agent Sandboxes

5 Things Every AI Engineer Should Know About Agent Sandboxes Originally shared by Google Cloud Tech on X - September 1, 2026 Google Cloud Tech highlighted five critical considerations for AI engineers working with agent sandbox environments. These insights are crucial for anyone building secure, reliable AI agent systems. Why This Matters Agent sandboxes are fundamental for: Security isolation - Containing potentially unsafe agent actions Resource management - Controlling computational resources Execution boundaries - Defining safe operational limits Testing environments - Providing controlled spaces for agent development As someone working on AI agent systems at Google, these sandbox principles directly impact how we design memory architectures and agent runtime environments.
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Tech

Agent Plugins Package Your Skills, Tools, and More

Agent Plugins Package Your Skills, Tools, and More Originally published on Google Developers Blog - August 6, 2026 Google has announced Agent Plugins 1.0.0, a new vendor-neutral directory specification backed by major tech companies including Google, Amazon, and Microsoft. This standard aims to package Agent Skills and MCP (Model Context Protocol) servers into portable, interoperable units. Key Highlights The specification standardizes the manifest (plugin.json) and utilizes a fixed directory layout, eliminating the need for developers to maintain separate wrappers or configurations to support different AI coding agents and IDEs.
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