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AI-powered terminal assistant for coding tasks

Project description

Ripperdoc

an open-source, extensible AI coding agent that runs in your terminal

GitHub stars

Ripperdoc is your on-machine AI coding assistant, similar to Claude Code, Codex, Gemini CLI, Aider, and Goose. It can write code, refactor projects, execute shell commands, and manage files - all through natural language conversations in your terminal.

Designed for maximum flexibility, Ripperdoc works with any LLM (Anthropic Claude, OpenAI, DeepSeek, local models via OpenAI-compatible APIs), supports custom hooks to intercept and control tool execution, and offers both an interactive CLI and a Python SDK for headless automation.

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
  • Hooks System - Execute custom scripts at lifecycle events with decision control
  • Custom Commands - Define reusable slash commands with parameter substitution

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 https://github.com/quantmew/ripperdoc.git
cd ripperdoc

# Install from source
pip install -e .

Usage

Interactive Mode (Recommended)

ripperdoc
# or use the short alias
rd

This launches an interactive session where you can:

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

Options:

  • --yolo - Skip permission prompts (safe mode is on by default)
  • --model <model_name> - Specify a model (e.g., claude-sonnet-4-20250514, gpt-4o)
  • --tools <tool_list> - Filter available tools (comma-separated, or "" for none)
  • --no-mcp - Disable MCP server integration
  • --verbose - Enable verbose logging

Python SDK (headless)

Use Ripperdoc without the terminal UI via the Python SDK. See SDK Documentation for examples of the one-shot query helper and the session-based RipperdocClient.

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 enabled by default. When prompted:

  • Type y or yes to allow a single operation
  • Type a or always to allow all operations of that type for the session
  • Type n or no to deny the operation

Use --yolo flag to skip all permission prompts:

ripperdoc --yolo

Agent Skills

Extend Ripperdoc with reusable Skill bundles:

  • Personal skills: ~/.ripperdoc/skills/<skill-name>/SKILL.md
  • Project skills: .ripperdoc/skills/<skill-name>/SKILL.md (can be checked into git)
  • Each SKILL.md starts with YAML frontmatter:
    • name - Skill identifier
    • description - What the skill does
    • allowed-tools (optional) - Restrict which tools the skill can use
    • model (optional) - Suggest a specific model for this skill
    • max-thinking-tokens (optional) - Control thinking budget
    • disable-model-invocation (optional) - Use skill without calling the model
  • Add supporting files alongside SKILL.md as needed
  • Skills are auto-discovered and loaded on demand via the Skill tool

Built-in skills: PDF manipulation (pdf), PowerPoint (pptx), Excel (xlsx)

Examples

Code Analysis

> Can you explain what this function does?
> Find all references to the `parse_config` function

File Operations

> Read the main.py file and suggest improvements
> Create a new component called UserProfile.tsx
> Update all imports to use the new package structure

Code Generation

> Create a new Python script that implements a REST API client
> Generate unit tests for the auth module
> Add error handling to the database connection code

Project Navigation

> Show me all the Python files in the project
> Find where the user authentication logic is implemented
> List all API endpoints in the project

MCP Integration

> What MCP servers are available?
> Query the context7 documentation for React hooks

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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