gralph

KO | EN

gitlite — search

#hacktoberfest #ai #go #golang #rust #deep-learning #linux #java #awesome #vue #awesome-list #pytorch #openai #open-source

(★ 16)

A high-performance implementation of the Ralph autonomous loop. Orchestrates multi-agent execution across Claude Code and Cursor, utilizing Git worktree isolation to scale PRD-driven development.

gralph 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# GRALPH

![gralph](https://raw.githubusercontent.com/frizynn/gralph/main/assets/gralph.png)

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:**

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

**Windows (PowerShell):**

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

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

**Update:**

```bash
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

```bash
# 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

```bash
# 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

| Flag | Description |
|------|-------------|
| `--claude` | Use Claude Code (default) |
| `--opencode` | Use OpenCode |
| `--cursor` | Use Cursor agent |
| `--codex` | Use Codex CLI |
| `--sequential` | Run tasks one at a time (default: parallel) |
| `--max-parallel N` | Max concurrent agents (default: 3) |
| `--resume PRD-ID` | Resume a previous run |
| `--create-pr` | Create PRs instead of auto-merge |
| `--draft-pr` | Create PRs as drafts |
| `--branch-per-task` | Create a new git branch for each task |
| `--no-tests` | Skip tests |
| `--no-lint` | Skip linting |
| `--fast` | Skip both tests and linting |
| `--dry-run` | Preview only |
| `--init` | Install missing skills for the current engine |
| `--update` | Update gralph to the latest version |
| `-v, --verbose` | Show debug output |

## PRD Format

PRD.md must include a `prd-id` line:

```markdown
# PRD: My Feature

prd-id: my-feature

## Introduction
...
```

GRALPH generates `tasks.yaml` automatically from PRD.md.

## Workflow

1. Install gralph (see [Install](#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.

gralph

gralph 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

gralph

gralph 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README