OpenKYT

OpenKYT is an open-source, privacy-preserving, and transparent AI-powered blockchain analytics platform for anti-money laundering (AML) and counter-terrorist financing (CTF). It combines the power of Large Language Models (LLMs) with advanced blockchain analytics to provide deep insights into transaction patterns, risk scoring, and compliance reporting.

Features

• AI-Powered Analysis: Uses LLMs to understand complex queries and provide natural language explanations.
• Privacy-Preserving: All analysis is done locally or through secure, private endpoints. No user data is stored without explicit consent.
• Transparent: All decisions and risk scores are explainable through the LLM's reasoning process.
• Real-time Streaming: Get insights as the analysis happens with real-time streaming of results.
• Multi-Methodological Approach: Combines rule-based systems, machine learning, and graph analytics for comprehensive risk assessment.

Getting Started

Prerequisites

• Python 3.8+
• Node.js 16+
• Docker (for running the backend)

Installation

1. Clone the repository

   git clone <repository-url>
   cd mvp

2. Backend Setup

   cd backend
   pip install -r requirements.txt
   

3. Frontend Setup

   cd frontend
   npm install
   npm run dev

Usage

1. Open the frontend in your browser (usually http://localhost:3000).
2. Start typing your queries in the chat interface.
3. The AI will analyze the transaction patterns and provide insights.

Roadmap

See roadmap.md for the development roadmap.

License

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