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babyagi-pattern

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Build autonomous task-driven agents with the BabyAGI loop — task creation, prioritization, and execution from a single objective.

skills/babyagi-pattern/SKILL.md

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## Overview

BabyAGI is the archetypal autonomous agent loop: given a single objective, the
agent maintains a task list, and three sub-agents cycle through it — a
task-creation agent that breaks the objective (and completed results) into new
tasks, a prioritization agent that orders the list, and an execution agent that
works the top task. Completed results feed back into task creation, so the agent
recursively decomposes and pursues the objective without further human input. It
was one of the first widely-shared demos of "give an AI a goal and let it run."

As an architecture it's more inspirational than optimal — the fixed three-role
loop is rigid, and unconstrained task creation drifts. But the pattern's core
ideas (a persistent task list as the agent's agenda, recursive decomposition,
results feeding back into planning) recur in every serious autonomous agent built