YC-Killer

# YC Killer A personal open-source library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free alternatives to overvalued Y Combinator startups. The goal is to make advanced AI technology accessible to everyone, not just well-funded companies. ## Our Mission We believe AI access is a human right. While Y Combinator companies build simple GPT wrappers and raise millions in funding, we're creating sophisticated, production-ready AI solutions and making them freely available to everyone. Our goal is to accelerate technologies that save humanity and make advanced AI accessible to all. ## The Agents ### 1. Agentic Deep Research An open source version of OpenAI's Deep Research. Provides comprehensive research capabilities: - Recursive exploration with configurable breadth and depth - Parallel processing with intelligent rate limiting - AI-powered analysis and insight extraction - Real-time progress tracking - Comprehensive markdown reports with citations - Docker support for easy deployment ### 2. Agentic Quant Hedge Fund Fully autonomous Hedge Fund run end-to-end entirely by AI agents. A complete, production-ready agentic quantitative trading system: - **Strategy Ideation Agent**: Generates market-neutral trading ideas based on behavioral finance principles - **Alpha Engineering Agent**: Converts high-level ideas into executable mathematical expressions - **Automated Feature Engineering**: Compiles trading signals using NumPy+Numba for maximum performance - **High-Performance Data Engine**: Polars-based data processing for lightning-fast computations - **Enterprise-Grade Backtesting**: Dollar-neutral long/short equity strategies with realistic transaction costs - **Production-Ready Infrastructure**: Docker containerization and DVC for data version control ### 3. Jarvis Agentic Executive Agent Making Jarvis from Iron Man a real thing. A comprehensive AI personal assistant with enterprise-grade capabilities: - Advanced AI-powered conversation - Calendar management and scheduling - Email composition and management - Smart web search and information retrieval - Task and reminder management - Real-time updates via WebSocket - Secure authentication with Google OAuth ### 4. Nano-Claude-Code A Rust implementation of Claude Code that preserves the same agentic architecture while moving the runtime to Rust: - Terminal-native coding agent runtime - Persistent sessions and resumability - Tool orchestration for shell, file, workspace, and task operations - MCP/tool routing and provider integration - Permission-aware execution model - Demo smoke script for quick verification ### 5. Agentic Call Center Putting a whole call center into a data centre by completely automating it with AI agents. AI voice based sales system: - AI-powered conversations using GPT-4 or other LLMs - Real-time speech-to-text and text-to-speech conversion - Call recording and transcription - Admin dashboard for monitoring and analytics - RLHF system for continuous improvement - Auto-scaling infrastructure ### 6. Agentic AI Hospital [350+ GitHub Stars]: Democratizing access to Cambridge Doctor level medical care for the underprivileged in developing countries: - Dynamic team assembly based on query complexity - Comprehensive specialist network including primary care, nutrition, and specialists - Real-time insurance coverage verification - Intelligent query analysis and contextual understanding - Coordinated multi-agent responses - Integration with medical systems ### 7. Agentic Professor Agentic AI for 1-on-1 tutoring - it has whiteboard access, can display diagrams, voice capabilities and a wiki-agent does RAG on wikipedia articles. Long-term goal is to create a fully online schooling and tutoring system to democratize Cambridge University level quality education for the underprivileged in developing countries: - Upload homework images for automatic text extraction - Detailed explanations with mathematical notation - Voice-based explanations using OpenAI's text-to-speech - Wikipedia integration for additional context - Interactive diagrams and visualizations - Progressive Web App (PWA) support ### 8. Agentic Accounting Firm A full accounting firm run by AI multi-agents: - Natural language processing for accounting operations - Voice command support via OpenAI's voice agent - Integration with QuickBooks for automated accounting - Real-time transaction processing and categorization - Automated tax calculation and reporting - Multi-currency support ## Technical Overview All agents are built with enterprise-grade technologies and practices: - TypeScript/Node.js for robust backend services - React/Next.js for modern frontend applications - Docker and Kubernetes for containerization and orchestration - Advanced AI models including GPT-4 - Real-time capabilities with WebSocket - Secure authentication and authorization - Comprehensive testing and documentation - Scalable cloud-native architecture ## Getting Started Each agent has its own repository with detailed setup instructions. To get started: 1. Clone the repository: ```bash git clone https://github.com/Sahibzada-A/YC-Killer.git cd YC-Killer ``` 2. Choose an agent to work with and follow its specific README: ```bash cd Agentic-Accounting-Firm # or any other agent directory ``` 3. Follow the agent-specific setup instructions in its README.md file. ## Contributing 1. Fork the repository 2. Create a feature branch (`git checkout -b feature/amazing-feature`) 3. Commit your changes (`git commit -m 'Add some amazing feature'`) 4. Push to the branch (`git push origin feature/amazing-feature`) 5. Open a Pull Request Please read the CONTRIBUTING.md file in each agent's directory for specific guidelines. ## License Each agent is licensed under the MIT License - see the LICENSE file in each agent's directory for details. ## Press Coverage - [Cambridge physicist and AI pioneer Sahibzada Allahyar achieves historic score in theoretical physics exam](https://www.nyjtech.com/article/cambridge-physicist-and-ai-pioneer-sahibzada-allahyar-achieves-historic-score-in-theoretical-physics-exam) - [YC Killer: How Cambridge physicist Sahibzada Allahyar built the world's most popular AI agents library](https://www.nyjtech.com/article/yc-killer-how-cambridge-physicist-sahibzada-allahyar-built-the-worlds-most-popular-ai-agents-library) --- Created by [Sahibzada Allahyar](https://github.com/sahibzada-allahyar)