ralph-orchestrator and Ralph-Lisa-Loop
These tools are complementary, as the Ralph-Lisa-Loop project provides a specific implementation and methodology for a dual-agent AI code review loop that could leverage or be orchestrated by the general autonomous AI agent orchestration techniques offered by mikeyobrien/ralph-orchestrator.
About ralph-orchestrator
mikeyobrien/ralph-orchestrator
An improved implementation of the Ralph Wiggum technique for autonomous AI agent orchestration
Implements a hat-based persona system with backpressure gates (tests, lint, typecheck) that coordinate through events, supporting multiple LLM backends (Claude, Gemini, Copilot CLI) and persistent memories. Runs as a Rust RPC API with web dashboard, MCP server over stdio, or CLI; includes human-in-the-loop via Telegram for agent questions and proactive guidance during orchestration loops.
About Ralph-Lisa-Loop
YW1975/Ralph-Lisa-Loop
Dual-agent AI code review loop — consensus at every step, not after the fact. Used to evolve an open-source fork into a production AI assistant with zero manual code.
Implements a structured loop where Claude and OpenAI's Codex alternate between code generation and adversarial review, with human arbitration for architectural decisions. Each agent's characteristic failure modes (Claude skipping error handling at scale; Codex over-engineering) are caught by the other's strengths. Requires Node.js 18+, Claude Code API access, and Codex CLI, with optional tmux integration for fully automated workflows.
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