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.

ralph-orchestrator
70
Verified
Ralph-Lisa-Loop
49
Emerging
Maintenance 25/25
Adoption 10/25
Maturity 15/25
Community 20/25
Maintenance 10/25
Adoption 9/25
Maturity 18/25
Community 12/25
Stars: 2,165
Forks: 213
Downloads:
Commits (30d): 89
Language: Rust
License: MIT
Stars: 3
Forks: 1
Downloads: 450
Commits (30d): 0
Language: TypeScript
License: MIT
No Package No Dependents
No Dependents

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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