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xRx is an open-source framework for building AI-powered applications that interact with users across multiple modalities — multimodality input (x), reasoning (R), and multimodality output (x). It allows developers to create sophisticated AI systems that seamlessly integrate text, voice, and other interaction forms, providing users with truly immersive experiences.

Key Features:

  • Multimodal Interaction: Effortlessly integrate audio, text, widgets and other modalities for both input and output.
  • Advanced Reasoning: Utilize comprehensive reasoning systems to enhance user interactions with intelligent and context-aware responses.
  • Modular Architecture: Easily extend and customize components with a modular system of reusable building blocks.
  • Observability and Guardrails: Built-in support for LLM observability and guardrails, allowing developers to monitor, debug, and optimize reasoning agents effectively.

Quick Start Guide (2 minutes + build time)

The easiest way to use xRx is to start with an example app and customize it. You can either explore the sample apps collection or try our AI voice tutor for calculus that includes a whiteboard and internal math engine.

Option 1: Sample Apps Collection

1. Clone the Repository

git clone --recursive https://github.com/8090-inc/xrx-sample-apps.git

Note: The --recursive flag is required as each app uses the xrx-core submodule.

2. Navigate to Sample Apps

cd xrx-sample-apps

3. Choose and Configure an Application

  • Navigate to your chosen app's directory
  • Copy the environment template: 
    cp env-example.txt .env
  • Configure the required environment variables:
    • Each application has its own set of required variables
    • Check the .env.example file in the app's directory
    • Set all required API keys and configuration

Tip: We recommend opening only the specific app folder in your IDE for a cleaner workspace.

4. Follow App-Specific Setup

  • Each application has its own README with specific instructions
  • Complete any additional setup steps outlined in the app's README
  • Ensure all dependencies are properly configured

5. Launch the Application

docker-compose up --build

Your app will be available at localhost:3000

For detailed instructions and troubleshooting, refer to the README in each application's directory.

Option 2: AI Voice Tutor

Math-Tutor on Groq is a voice-enabled math tutor powered by Groq that calculates and renders live problems and instruction with LaTeX in seconds! The application demonstrates voice interaction, whiteboard capabilities, and mathematical abilties.

1. Clone the Repository

git clone --recursive https://github.com/bklieger-groq/mathtutor-on-groq.git

2. Configure Environment

cp env-example.txt .env

Edit .env with your API keys:

LLM_API_KEY="your_groq_api_key_here"
GROQ_STT_API_KEY="your_groq_api_key_here"
ELEVENLABS_API_KEY="your_elevenlabs_api_key"  # For text-to-speech

You can obtain:

3. Launch the Tutor

docker-compose up --build

Access the tutor at localhost:3000

Challenge: Modify the math tutor to teach another topic, such as economics, and accept images of problems as input!

For more information on building applications with xRx and Groq, see: