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XO

XO AI 🤖

XO — Minimal Conversational Intelligence Framework with Memory & Reinforcement Learning

XO is a lightweight, modular conversational AI framework designed for developers who want to build intelligent, context-aware, and self-improving chat systems. It combines short-term caching, long-term memory, and reinforcement-style learning to create natural, adaptive responses.


🚀 Features

  • Reinforcement Learning — XO learns from repeated user interactions.
  • Short-Term Cache System — Prioritizes frequently used topics dynamically.
  • Long-Term Memory — Persists knowledge across sessions.
  • CLI & SDK Modes — Use XO from code or command line.
  • Modular & Editable — Every logic layer (cache, memory, response) can be customized.
  • Lightweight & Fast — Zero external heavy dependencies.

🔧 Installation

From PyPI

pip install xo-ai

From Source

git clone https://github.com/xo-aria/xo-ai.git
cd xo-ai
pip install .

💻 Usage

🔹 As a Python Library (SDK)

from xo import AI

bot = AI("data.json")
response = bot.ask("hi")
print(response)

🔹 As Command Line Tool

XO provides a built-in CLI for easy interaction:

from xo.cli import run_cli

if __name__ == "__main__":
    run_cli()

And use cli in cmd:

xo run     # Start an interactive chat
xo train   # Merge long-term memory into database
xo reset   # Clear short-term cache
xo help    # Show command help

🧠 How XO Learns

  • Each repeated phrase increases its weight in memory (reinforcement).
  • Topics decay over time if unused.
  • When repetition threshold is reached, new learned patterns are merged into data.json automatically.

🖊️ Example Data File

{
  "conversation": {
    "hi": "hello there!",
    "how are you": "Howdy! What can I do for you?"
  },
  "shop": {
    "price": "The price varies by product. Which item interests you?"
  }
}

👩‍💻 For Developers

XO was built to be easily modifiable:

  • cache_system.py → short-term memory logic.
  • memory_system.py → reinforcement & decay logic.
  • response_engine.py → natural response selection.
  • cli.py → command-line interface.

You can modify these independently without breaking the framework.


🎨 Example CLI Output

$ xo run
XO is ready! Type 'exit' to quit.

You: hi
AI: hello there!

You: how are you
AI: Howdy! What can I do for you?

🔗 Links


💎 Credits

Created with ❤️ by XO Aria Designed for developers who believe AI should be both smart and simple.

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Minimal Conversational Intelligence Framework with Memory & Reinforcement Learning

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