ralph-loop

An autonomous iterative loop automates repetitive task execution by continuously refining outputs until completion. The Ralph Loop initializes this within a single AI agent session, maintaining stateful context across iterations to progressively improve results.

To feed results back into a prompt for iterative refinement, use an autonomous loop that executes tasks and passes the output as context for the next iteration. This enforces a strict promise-execution rule to ensure reliable, progressively better outputs.

Yes, enabling session management for autonomous task execution requires running a setup script. You must execute the setup-ralph-loop.sh hook script to initialize the loop environment before starting the iterative execution within your current session.

Safety guardrails for autonomous AI agent iteration enforce strict promise-execution rules to ensure reliability. The loop mechanism restricts unsafe behavior by requiring the system to fulfill execution promises before proceeding to the next refinement cycle.

You should avoid using a continuous autonomous loop when tasks require manual intervention or lack a clear completion criteria. Because the loop runs iteratively until done, ambiguous goals may lead to excessive cycles without achieving meaningful output refinement.