Ralph Execute
A stateless iteration protocol where all project state lives in a PRD file, enabling multi-session execution that survives context loss.
Ralph Execute solves the fundamental problem of AI agent memory: context windows are finite and conversations reset. The protocol stores all state in a PRD file: current phase, iteration count, next action, blockers, running learnings. Each invocation reads state from the file, executes exactly one action, writes updated state back, and outputs a completion signal (CONTINUE, TASK_COMPLETE, or BLOCKED_NEED_HUMAN). 42 PRDs, 300+ iterations, zero lost state. Session breaks, context compaction, and agent handoffs are invisible to the workflow.
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