ralph-orchestrator and juggle
These are competitors—both implement the Ralph Wiggum self-correcting loop pattern for autonomous agents, with ralph-orchestrator offering a more mature, feature-rich orchestration framework while juggle provides a lightweight CLI-focused alternative.
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 juggle
ohare93/juggle
CLI Ralph Loops with Good UX
Juggle provides a TUI for managing task lists while autonomous agents execute them, eliminating file write conflicts found in raw Ralph Loops. It supports parallel agent loops using worktrees for isolated execution environments and integrates with Claude Code for AI agent operation. Tasks can be prioritized, grouped into sessions, and refined interactively without stopping the agent.
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