OAuth Flow Implementation for AI Agents: A Complete Guide

Your AI agent needs to access Google Sheets, send emails through Gmail, or post to LinkedIn. But OAuth flows weren't designed for autonomous agents running on your server. They expect a human with a browser to click "Authorize." This guide shows you how to implement OAuth 2.0 properly for AI agents, handle token refresh automatically, and build a system that works reliably in production. Why OAuth Is Hard for AI Agents OAuth was designed for web apps where a human user is present to authorize access. The typical flow: User clicks "Connect Google" in your web app Browser redirects to Google's authorization page User approves access and grants permissions Google redirects back with an authorization code Your app exchanges the code for access and refresh tokens Your app stores the tokens and uses them to make API calls But AI agents don't have a browser. They run headless on a server, often in a terminal or as a background process. The Three Problems Problem 1: No Browser Interface The ag