Content
## 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)
- [Sahibzada Allahyar's Singularity Research: The elite lab uniting Harvard, MIT, and Cambridge's brightest minds to democratize AI](https://www.nyjtech.com/article/sahibzada-allahyars-singularity-research-the-elite-lab-uniting-harvard-mit-and-cambridges-brightest-minds-to-democratize-ai)
# YC Killer (an AI Agents Library )
# by Singularity Research
# 🌟 Star the Repo To Apply for the Job Posting
> 🌟 **Join Our Mission**: We're systematically open-sourcing enterprise-grade AI agents to kill every YC company, one by one. If you have a stellar academic background and are excited about democratizing AI access, please star this repository and [join our Open Source AI Research and AI Engineering team](https://discord.gg/PfvtWTnhdQ).
A library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups. Our mission 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.
## Our Team
Our team consists of the most brilliant quantitative researchers and AI engineers in the world, including alumni from:
- Google DeepMind
- Harvard University
- MIT
- Stanford University
- Cambridge University
- Anthropic
## 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. 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
### 5. 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
### 6. 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
### 7. 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.
## Apply to Collaborate
We're looking for passionate individuals who share our vision of democratizing AI access:
- **Option 1**: [Help us take on overinflated GPT-wrapper startups](https://forms.gle/Y64WFkcuR7XMwXFQA)
- **Option 2**: [Apply even if you just want to contribute your passion for open source accessible AI](https://forms.gle/Y64WFkcuR7XMwXFQA)
## 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.
## Contact
- **Email**: [sahibzada@singularityresearchlabs.com](mailto:sahibzada@singularityresearchlabs.com)
## License
Each agent is licensed under the MIT License - see the LICENSE file in each agent's directory for details.
## About Singularity Research
Singularity Research is dedicated to democratizing AI through open source initiatives. We believe in making advanced AI technologies accessible to everyone, fostering innovation and collaboration in the AI community. Our goal is to accelerate technologies that save humanity and challenge the status quo of overvalued, underdeveloped AI solutions.
Visit our website for more information: [https://www.singularityresearchlabs.com](https://www.singularityresearchlabs.com)
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Made with ❤️ by Singularity Research
