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An autonomous coding-agent orchestrator: hand off a well-specified task and return to reviewable, tested work.

Project description

ralph-workflow

Ralph Workflow is a free, open-source orchestrator for AI coding agents. Hand it a well-specified task, let agents plan, build, verify, and fix, and come back to reviewable, tested work.

Install

pipx install ralph-workflow
ralph --version
ralph --diagnose   # optional pre-flight check

pipx keeps the install isolated from your other Python projects; the post-condition is that ralph --version prints the installed package version.

The canonical first-run walkthrough — install → init → diagnose → edit PROMPT.md → run — is in Getting started. It is the single home for the first-run sequence and does not require opening any other config file before your first run.

Supported agents

Eight built-in agents ship with Ralph Workflow:

Agent Notes
Claude Code Anthropic's CLI for Claude (interactive, PTY transport).
Claude Code (Headless) Same claude binary in headless subprocess mode (claude-headless).
Codex OpenAI's Codex CLI.
OpenCode Open-source terminal coding agent.
Nanocoder Local-only TUI coding agent.
Google Anti Gravity (AGY) Google's Antigravity CLI (agy, v1.0.9+).
Pi Minimal coding agent. Headless mode is pi --mode json <prompt>.
Cursor Cursor Agent CLI (agent), headless --print mode.

Pick one, authenticate it on your machine once, and Ralph Workflow uses it. The selection and trust-boundary story is in the maintained Sphinx manual under agents and agent-compatibility.

Requirements

  • Python ≥ 3.12
  • Local execution; no daemon, no cloud dependency
  • One supported agent CLI installed and authenticated

License

AGPL-3.0-or-later.

Documentation

The maintained operator manual is at docs/sphinx/index.rst — tutorial, configuration reference, MCP / artifact / pipeline configuration, concepts, troubleshooting, diagnostics, and developer internals.

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