GRALPH

GRALPH is a parallel AI coding runner that executes tasks across multiple agents in isolated git worktrees.

Overview

GRALPH reads a PRD, generates tasks with dependencies, and runs multiple agents in parallel using a DAG scheduler. Each task produces artifacts and commits work to isolated branches.

Features

• DAG-based task scheduling with dependencies and mutexes
• Parallel execution by default (isolated git worktrees)
• Per-PRD run directories with all artifacts
• Automatic resume on re-run
• Support for Claude Code, OpenCode, Codex, and Cursor
• Cross-platform: macOS, Linux, and Windows

Install

macOS / Linux:

curl -fsSL https://raw.githubusercontent.com/frizynn/gralph/main/install.sh | bash

Windows (PowerShell):

irm https://raw.githubusercontent.com/frizynn/gralph/main/install.ps1 | iex

Restart your terminal after installing. Then gralph is available globally.

Update:

gralph --update

Requirements

• One of: Claude Code CLI, OpenCode CLI, Codex CLI, or Cursor (agent in PATH)
• yq (YAML parsing)
• jq
• git
• Optional: gh (PRs), bc (cost estimates)

Quick Start

# 1. Install skills in your project
cd my-project
gralph --init

# 2. Create a PRD with prd-id (use /prd skill or write one manually)
# PRD.md must include: prd-id: my-feature

# 3. Run gralph (parallel by default)
gralph

# Or with a specific engine
gralph --opencode

Usage

# Run with default engine (Claude Code)
gralph

# Run with a specific engine
gralph --opencode
gralph --cursor
gralph --codex

# Run sequentially
gralph --sequential

# Limit parallelism
gralph --max-parallel 2

# Dry run (preview without executing)
gralph --dry-run

# Resume a previous run
gralph --resume my-feature

# Skip tests and linting
gralph --fast

# Create PRs per task instead of auto-merge
gralph --create-pr --draft-pr

Configuration

PRD Format

PRD.md must include a prd-id line:

# PRD: My Feature

prd-id: my-feature

## Introduction
...

GRALPH generates tasks.yaml automatically from PRD.md.

Workflow

1. Install gralph (see Install)
2. cd into your project and run gralph --init
3. Create PRD.md with prd-id: your-feature (use /prd skill)
4. Run gralph (or gralph --opencode, etc.)
5. GRALPH creates artifacts/prd/<prd-id>/ with tasks.yaml
6. Tasks run in parallel using the DAG scheduler
7. Re-run anytime to resume (auto-detects existing run)
8. Use --resume <prd-id> to resume a different PRD

Artifacts

Each PRD run creates artifacts/prd/<prd-id>/:

• PRD.md - Copy of the PRD
• tasks.yaml - Generated task list
• progress.txt - Progress notes
• reports/<TASK_ID>.json - Task reports
• reports/<TASK_ID>.log - Task logs

Skills

GRALPH uses these skills (installed with --init):

• prd - Generate PRDs with prd-id
• ralph - Convert PRDs to tasks
• task-metadata - Validate tasks.yaml
• dag-planner - Plan task execution
• parallel-safe-implementation - Safe parallel coding
• merge-integrator - Merge branches
• semantic-reviewer - Review integrated code

Contributing

PRs and issues welcome. Keep changes small and update tests/docs when adding features.

License

MIT

Credits

Inspired by Ralph, which pioneered autonomous AI coding loops.