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This GitHub repository offers the "loop-engineer-template," a starter kit for building autonomous AI agents designed to wake on triggers, perform work, verify outcomes, and log learnings into a shared, file-based memory. The core concept is "compounding" work, where multiple specialized loops (e.g., support, product, SEO) interact with a common knowledge base, allowing insights from one to inform and accelerate others. The template provides a structured knowledge base, a codebase harness, and necessary skills to enable agents to autonomously run, test, and ship code changes. It aims to shift development from task-by-task prompting to designing self-sustaining agent loops.