Ralph Wiggum for OpenCode

Iterative AI development loops. Same prompt. Persistent progress.
Based on ghuntley.com/ralph

What is Ralph? • Installation • Quick Start • Commands

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What is Ralph?

Ralph is a development methodology where an AI agent receives the same prompt repeatedly until it completes a task. Each iteration, the AI sees its previous work in files and git history, enabling self-correction and incremental progress.

This package provides a CLI-only implementation (no OpenCode plugin).

# The essence of Ralph:
while true; do
  opencode run "Build feature X. Output <promise>DONE</promise> when complete."
done

The AI doesn't talk to itself. It sees the same prompt each time, but the files have changed from previous iterations. This creates a feedback loop where the AI iteratively improves its work until success.

Why Ralph?

Benefit	How it works
Self-Correction	AI sees test failures from previous runs, fixes them
Persistence	Walk away, come back to completed work
Iteration	Complex tasks broken into incremental progress
Automation	No babysitting—loop handles retries
Observability	Monitor progress with --status, see history and struggle indicators
Mid-Loop Guidance	Inject hints with --add-context without stopping the loop

Installation

Prerequisites: Bun and OpenCode

npm (recommended)

npm install -g @th0rgal/ralph-wiggum

Bun

bun add -g @th0rgal/ralph-wiggum

From source

git clone https://github.com/Th0rgal/ralph-wiggum
cd opencode-ralph-wiggum
./install.sh

git clone https://github.com/Th0rgal/ralph-wiggum
cd opencode-ralph-wiggum
.\install.ps1

This installs:

• ralph CLI command (global)

Quick Start

# Simple task with iteration limit
ralph "Create a hello.txt file with 'Hello World'. Output <promise>DONE</promise> when complete." \
  --max-iterations 5

# Build something real
ralph "Build a REST API for todos with CRUD operations and tests. \
  Run tests after each change. Output <promise>COMPLETE</promise> when all tests pass." \
  --max-iterations 20

Commands

Running a Loop

ralph "<prompt>" [options]

Options:
  --max-iterations N       Stop after N iterations (default: unlimited)
  --completion-promise T   Text that signals completion (default: COMPLETE)
  --model MODEL            OpenCode model to use
  --prompt-file, --file, -f  Read prompt content from a file
  --no-stream              Buffer OpenCode output and print at the end
  --verbose-tools          Print every tool line (disable compact tool summary)
  --no-plugins             Disable non-auth OpenCode plugins for this run
  --no-commit              Don't auto-commit after iterations
  --help                   Show help

Monitoring & Control

# Check status of active loop (run from another terminal)
ralph --status

# Add context/hints for the next iteration
ralph --add-context "Focus on fixing the auth module first"

# Clear pending context
ralph --clear-context

Status Dashboard

The --status command shows:

• Active loop info: Current iteration, elapsed time, prompt
• Pending context: Any hints queued for next iteration
• Iteration history: Last 5 iterations with tools used, duration
• Struggle indicators: Warnings if agent is stuck (no progress, repeated errors)

╔══════════════════════════════════════════════════════════════════╗
║                    Ralph Wiggum Status                           ║
╚══════════════════════════════════════════════════════════════════╝

🔄 ACTIVE LOOP
   Iteration:    3 / 10
   Elapsed:      5m 23s
   Promise:      COMPLETE
   Prompt:       Build a REST API...

📊 HISTORY (3 iterations)
   Total time:   5m 23s

   Recent iterations:
   🔄 #1: 2m 10s | Bash:5 Write:3 Read:2
   🔄 #2: 1m 45s | Edit:4 Bash:3 Read:2
   🔄 #3: 1m 28s | Bash:2 Edit:1

⚠️  STRUGGLE INDICATORS:
   - No file changes in 3 iterations
   💡 Consider using: ralph --add-context "your hint here"

Mid-Loop Context Injection

Guide a struggling agent without stopping the loop:

# In another terminal while loop is running
ralph --add-context "The bug is in utils/parser.ts line 42"
ralph --add-context "Try using the singleton pattern for config"

Context is automatically consumed after one iteration.

Troubleshooting

"ralph-wiggum" plugin errors

This package is CLI-only. If OpenCode tries to load a ralph-wiggum plugin, remove it from your OpenCode plugin list (opencode.json), or run:

ralph "Your task" --no-plugins

"bun: command not found"

Install Bun: https://bun.sh

Writing Good Prompts

Include Clear Success Criteria

❌ Bad:

Build a todo API

✅ Good:

Build a REST API for todos with:
- CRUD endpoints (GET, POST, PUT, DELETE)
- Input validation
- Tests for each endpoint

Run tests after changes. Output <promise>COMPLETE</promise> when all tests pass.

Use Verifiable Conditions

❌ Bad:

Make the code better

✅ Good:

Refactor auth.ts to:
1. Extract validation into separate functions
2. Add error handling for network failures
3. Ensure all existing tests still pass

Output <promise>DONE</promise> when refactored and tests pass.

Always Set Max Iterations

# Safety net for runaway loops
ralph "Your task" --max-iterations 20

When to Use Ralph

Good for:

• Tasks with automatic verification (tests, linters, type checking)
• Well-defined tasks with clear completion criteria
• Greenfield projects where you can walk away
• Iterative refinement (getting tests to pass)

Not good for:

• Tasks requiring human judgment
• One-shot operations
• Unclear success criteria
• Production debugging

How It Works

┌─────────────────────────────────────────────────────────────┐
│                                                             │
│   ┌──────────┐    same prompt    ┌──────────┐              │
│   │          │ ───────────────▶  │          │              │
│   │  ralph   │                   │ OpenCode │              │
│   │   CLI    │ ◀─────────────── │          │              │
│   │          │   output + files  │          │              │
│   └──────────┘                   └──────────┘              │
│        │                              │                     │
│        │ check for                    │ modify              │
│        │ <promise>                    │ files               │
│        ▼                              ▼                     │
│   ┌──────────┐                   ┌──────────┐              │
│   │ Complete │                   │   Git    │              │
│   │   or     │                   │  Repo    │              │
│   │  Retry   │                   │ (state)  │              │
│   └──────────┘                   └──────────┘              │
│                                                             │
└─────────────────────────────────────────────────────────────┘

1. Ralph sends your prompt to OpenCode
2. OpenCode works on the task, modifies files
3. Ralph checks output for completion promise
4. If not found, repeat with same prompt
5. AI sees previous work in files
6. Loop until success or max iterations

Project Structure

ralph-wiggum/
├── bin/ralph.js                  # CLI entrypoint (npm wrapper)
├── ralph.ts                      # Main loop implementation
├── package.json                  # Package config
├── install.sh / install.ps1     # Installation scripts
└── uninstall.sh / uninstall.ps1 # Uninstallation scripts

State Files (in .opencode/)

During operation, Ralph stores state in .opencode/:

• ralph-loop.state.json - Active loop state
• ralph-history.json - Iteration history and metrics
• ralph-context.md - Pending context for next iteration

Uninstall

npm uninstall -g @th0rgal/ralph-wiggum

npm uninstall -g @th0rgal/ralph-wiggum

Learn More

• Original technique by Geoffrey Huntley
• Ralph Orchestrator

See Also

Check out OpenAgent - a dashboard for orchestrating AI agents with workspace management, real-time monitoring, and multi-agent workflows.

License

MIT