Agent Native

Agent Native describes a service or tool built from the very start on the assumption that an AI agent, not a human, will be the one using it. Think of it like the difference between a building designed from day one to be step-free for wheelchairs, versus one that later bolts on a ramp as an afterthought. Both eventually let a wheelchair through, but the one built that way from the start works far more naturally and smoothly.

Existing services were originally built for humans to look at screens and click buttons, and in recent years they've been changing by bolting on AI features one at a time. An Agent Native service, by contrast, strips away things like login screens, ambiguous menu structures, and instructions only a human could understand, and instead builds a structure that an AI program can immediately read, reason about, and act on. In other words, it's not about adding AI on top later — it's about rebuilding the whole thing from the foundation up on the assumption that AI will be the user.

This is also why code-editing and developer-tool companies use this term so often these days. As AI programs increasingly take over tasks once done by human developers directly editing code — reading code, proposing fixes, managing repositories — companies are trying to redesign that entire workflow around AI from the ground up.

When Cursor launched its code-hosting service Origin, it teased upcoming "agent native" features without revealing specifics yet. The easy mistake is thinking this just means adding a few AI features to an existing service. Agent Native instead refers to redesigning the interface and structure itself from scratch, on the premise that an AI program — not a human — will be the direct user.