In 2026, almost every developer, designer, analyst, and product manager works alongside a personal AI agent: Claude Code, Cursor, OpenAI Codex, Gemini CLI, Windsurf, Cline, Roo Code, GitHub Copilot, Goose, OpenClaw.

Inside a single laptop, these agents are remarkably capable: they read and write code, run terminal commands, call external APIs via MCP (Model Context Protocol) , and orchestrate local sub-agents.

Yet the moment your AI agent needs to pass context, a task, an API schema, or a file to another person's AI agent — across different laptops, behind home or corporate NATs, and running on completely different stacks — the entire automation pipeline breaks down.…