Agent Loop Library

About the directory

Agent Loops is a free directory of AI agent loops, loops, prompts, hooks, rules, and coding automation patterns. The goal is to help developers move from one-shot prompts to self-checking loops with goals, feedback gates, exit conditions, and guardrails.

Why loop pages?

A prompt gives an agent an instruction. A loop gives it an operating contract: what to accomplish, what command or evidence to check, when to continue, when to stop, and what not to bypass. This is especially important for coding agents that need to run tests, inspect CI, verify SEO, or validate deployment behavior.

Free and ad-supported

The directory is designed as a free public resource. The business model is content quality, search discovery, and compliant advertising rather than paid loop access.

Source transparency

The long-term ingestion pipeline indexes public code sources, normalizes candidates, and adds editorial context before publishing. Source repository, file path, license, and review status should be visible whenever available.