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AI-powered terminal assistant for coding tasks

Project description

Ripperdoc - AI-Powered Terminal Assistant

Ripperdoc is an AI-powered terminal assistant for coding tasks, providing an interactive interface for AI-assisted development, file management, and command execution.

中文文档 | Contributing | Documentation

Features

  • AI-Powered Assistance - Uses AI models to understand and respond to coding requests
  • Multi-Model Support - Support for Anthropic Claude and OpenAI models
  • Rich UI - Beautiful terminal interface with syntax highlighting
  • Code Editing - Directly edit files with intelligent suggestions
  • Codebase Understanding - Analyzes project structure and code relationships
  • Command Execution - Run shell commands with real-time feedback
  • Tool System - Extensible architecture with specialized tools
  • Agent Skills - Load SKILL.md bundles to extend the agent on demand
  • Subagents - Delegate tasks to specialized agents with their own tool scopes
  • File Operations - Read, write, edit, search, and manage files
  • Todo Tracking - Plan, read, and update persistent todo lists per project
  • Background Commands - Run commands in background and monitor output
  • Permission System - Safe mode with permission prompts for operations
  • Multi-Edit Support - Batch edit operations on files
  • MCP Server Support - Integration with Model Context Protocol servers
  • Session Management - Persistent session history and usage tracking
  • Jupyter Notebook Support - Edit .ipynb files directly

Installation

Quick Installation

Install from git repository:

pip install git+https://github.com/quantmew/ripperdoc.git

Or install from source:

# Clone the repository
git clone <repository-url>
cd Ripperdoc

# Install from source
pip install -e .

Configuration

Set your API key as an environment variable:

export OPENAI_API_KEY="your-api-key-here"
# or for Anthropic Claude
export ANTHROPIC_API_KEY="your-api-key-here"

Usage

Interactive Mode (Recommended)

ripperdoc

This launches an interactive session where you can:

  • Ask questions about your codebase
  • Request code modifications
  • Execute commands
  • Navigate and explore files

Python SDK (headless)

Use Ripperdoc without the terminal UI via the new Python SDK. See docs/SDK_USAGE.md for examples of the one-shot query helper and the session-based RipperdocClient. 中文指南见 docs/SDK_USAGE_CN.md

SDK Examples

  • Basic Usage: Simple one-shot queries
  • Session Management: Persistent sessions with context
  • Tool Integration: Direct tool access and customization
  • Configuration: Custom model providers and settings

See the examples/ directory for complete SDK usage examples.

Safe Mode Permissions

Safe mode is the default. Use --unsafe to skip permission prompts. Choose a/always to allow a tool for the current session (not persisted across sessions).

Agent Skills

Extend Ripperdoc with reusable Skill bundles:

  • Personal skills live in ~/.ripperdoc/skills/<skill-name>/SKILL.md
  • Project skills live in .ripperdoc/skills/<skill-name>/SKILL.md and can be checked into git
  • Each SKILL.md starts with YAML frontmatter (name, description, optional allowed-tools, model, max-thinking-tokens, disable-model-invocation) followed by the instructions; add supporting files alongside it
  • Model and max-thinking-token hints from skills are applied automatically for the rest of the session after you load them with the Skill tool
  • Ripperdoc exposes skill names/descriptions in the system prompt and loads full content on demand via the Skill tool

Examples

Code Analysis

> Can you explain what this function does?

File Operations

> Read the main.py file and suggest improvements

Code Generation

> Create a new Python script that implements a REST API client

Project Navigation

> Show me all the Python files in the project

Development

Setup Development Environment

# Install development dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Type checking
mypy ripperdoc

# Code formatting
black ripperdoc

# Linting
ruff ripperdoc

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

Key License Terms

  • Commercial Use: Permitted
  • Distribution: Permitted
  • Modification: Permitted
  • Patent Grant: Included
  • Private Use: Permitted
  • Sublicensing: Permitted
  • Trademark Use: Not granted

For full license terms and conditions, please refer to the LICENSE file.

Credits

Inspired by:

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