Monitored Ralph Loop

Guide OpenClaw agents to execute Ralph Wiggum loops using exec and process tools. Agent orchestrates coding agents (Codex, Claude Code, OpenCode, Goose) with proper TTY support via pty:true. Plans/builds code via PROMPT.md + AGENTS.md, SPECS and IMPLEMENTATION_PLAN.md. Includes PLANNING vs BUILDING modes, backpressure, sandboxing, and completion conditions. Users request loops, agents execute using tools.

Generate ready-to-run shell loop commands for Claude Code, Gemini CLI, or Grok CLI, customized by AI tool, model, shell, complexity, and loop features.

Runs autonomous iterative AI loops for requirements, planning, or building phases using structured prompts and fresh context per iteration.

Run long-lived AI coding agents (Codex, Claude Code) in persistent tmux sessions with Ralph retry loops and completion hooks. Use when running multi-step cod...

Run an autonomous Open Ralph Wiggum coding loop using OpenCode Zen with free models and automatic fallback.

Autonomous development loops with iteration, backpressure gates, and completion criteria. Use for sustained coding sessions that require multiple iterations, test validation, and structured progress tracking. Supports Next.js, Python, FastAPI, and GPU workloads with Ralph Wiggum methodology adapted for OpenClaw.