r-cli-ai 0.3.0

R CLI - Your Local AI Operating System. 100% private, 100% offline, 100% yours.

R CLI 🚀

Your Local AI Operating System - 100% private, 100% offline, 100% yours.

R CLI is a terminal-based AI agent powered by local open source LLMs (LM Studio, Ollama). Inspired by Paul Klein's viral CEO CLI, but designed to run completely offline.

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✨ Features

• 🔒 100% Local - Your data never leaves your machine
• 🚀 Modular Skills - PDF, SQL, code generation, summaries and more
• 🎮 Epic UI - PS2/Matrix-style terminal animations
• 🧠 Built-in RAG - Persistent knowledge base
• 🔌 Extensible - Create your own skills easily
• 💰 Free - No paid APIs or subscriptions

🛠️ Requirements

• Python 3.10+
• LM Studio or Ollama
• 16GB+ RAM (24GB VRAM recommended for large models)

Recommended Models

Model	VRAM	Use Case
Qwen2.5-7B	8GB	Fast, simple tasks
Qwen2.5-32B	20GB	Balanced
Qwen2.5-72B (Q4)	24GB	Maximum quality
DeepSeek-Coder	16GB	Code specialized

📦 Installation

From PyPI (Recommended)

# Basic installation
pip install r-cli-ai

# With semantic search (RAG)
pip install r-cli-ai[rag]

# With voice mode (Whisper + TTS)
pip install r-cli-ai[audio]

# With image generation (Stable Diffusion)
pip install r-cli-ai[design]

# Everything
pip install r-cli-ai[all]

From Source

# Clone the repository
git clone https://github.com/raym33/r.git
cd r

# Install with pip
pip install -e .

# Or with uv (faster)
uv pip install -e .

🚀 Quick Start

1. Start your LLM server

LM Studio:

1. Open LM Studio
2. Load a model (e.g., Qwen2.5-32B-Instruct)
3. Start the local server (port 1234)

Ollama:

ollama run qwen2.5:32b

2. Launch R CLI

# Interactive mode
python -m r_cli.main

# Direct chat
python -m r_cli.main chat "Explain what machine learning is"

# Direct skills
python -m r_cli.main pdf "My AI report" --title "Q4 Report"
python -m r_cli.main sql sales.csv "SELECT * FROM data WHERE year = 2024"
python -m r_cli.main resume document.pdf --style detailed
python -m r_cli.main code "sorting function" --run

📚 Available Skills

Skill	Description	Example
pdf	Generate PDF documents	r pdf "content" --template business
latex	Compile LaTeX to professional PDF	r latex document.tex
ocr	Extract text from images/scanned PDFs	r ocr image.png --lang eng
voice	Transcribe audio (Whisper) + TTS (Piper)	r voice --audio file.mp3
design	Generate images with Stable Diffusion	r design "cyberpunk city" --style anime
calendar	Local calendar & tasks (SQLite)	r calendar --action today
multiagent	Multi-agent orchestration	r multiagent --task "complex task"
plugin	Manage community plugins	r plugin create my_plugin
rag	Semantic search with local embeddings	r rag --query "machine learning"
resume	Summarize long documents	r resume file.pdf
sql	SQL queries on CSVs/DBs	r sql data.csv "SELECT *"
code	Generate and execute code	r code "hello world" --run
fs	File operations	r ls --pattern "*.py"

⚙️ Configuration

Create ~/.r-cli/config.yaml:

llm:
  provider: lm-studio  # or 'ollama'
  base_url: http://localhost:1234/v1
  model: local-model
  temperature: 0.7

ui:
  theme: ps2  # ps2, matrix, minimal, retro, cyberpunk

rag:
  enabled: true
  persist_directory: ~/.r-cli/vectordb

🎨 Themes

python -m r_cli.main --theme matrix   # Green Matrix style
python -m r_cli.main --theme ps2      # Blue PlayStation 2
python -m r_cli.main --theme minimal  # Clean and simple
python -m r_cli.main --theme retro    # CRT vintage

🔧 Create Your Own Skill

# ~/.r-cli/skills/my_skill.py

from r_cli.core.agent import Skill
from r_cli.core.llm import Tool

class MySkill(Skill):
    name = "my_skill"
    description = "My custom skill"

    def get_tools(self) -> list[Tool]:
        return [
            Tool(
                name="my_function",
                description="Does something useful",
                parameters={...},
                handler=self.my_function,
            )
        ]

    def my_function(self, arg1: str) -> str:
        return f"Result: {arg1}"

🔌 Plugin System

Create and share your own skills with the community!

# Create a new plugin
r plugin create my_awesome_plugin --description "Does cool stuff" --author "Your Name"

# Install from GitHub
r plugin install https://github.com/user/r-cli-plugin

# List installed plugins
r plugin list

# Enable/disable plugins
r plugin enable my_plugin
r plugin disable my_plugin

Plugin structure:

~/.r-cli/plugins/my_plugin/
├── plugin.yaml       # Metadata
├── __init__.py       # Entry point
├── skill.py          # Skill implementation
└── requirements.txt  # Dependencies

🗺️ Roadmap

• Agentic core with LM Studio/Ollama
• Skills: PDF, SQL, Code, Resume, Filesystem
• UI with PS2/Matrix animations
• Persistent RAG
• LaTeX compilation to professional PDFs
• OCR text extraction (Tesseract)
• Voice mode (Whisper + Piper TTS)
• Stable Diffusion integration for design
• Calendar & tasks with SQLite
• Multi-agent orchestration
• Plugin system for community skills
• Local embeddings with sentence-transformers

🤝 Contributing

Contributions are welcome!

1. Fork the repository
2. Create a branch (git checkout -b feature/new-feature)
3. Commit your changes (git commit -m 'Add new feature')
4. Push to the branch (git push origin feature/new-feature)
5. Open a Pull Request

📄 License

MIT License - Use R CLI however you want.

👤 Author

Created by Ramón Guillamón

• Twitter/X: @learntouseai
• Email: [e-mail]

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R CLI - Because your AI should be yours. 🔒