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Yc Killer

A library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups. If you are excited about democratizing AI access & AI agents, please star ⭐️ this repository and use the link in the readme to join

81Excellent

Scored 4 months ago · breakdown

About Yc Killer

Yc Killer is an MCP server published by sahibzada-allahyar in the Developer Tools category: a library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups. If you are excited about democratizing AI access & AI agents, please star ⭐️ this repository and use the link in the readme to join. It has been installed 0 times through Conduid.

The repository has 2.7K stars and 117 forks, with the last commit 7 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx yc-killer

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README

Press Coverage

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.

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:
git clone https://github.com/Sahibzada-A/YC-Killer.git
cd YC-Killer
  1. Choose an agent to work with and follow its specific README:
cd Agentic-Accounting-Firm  # or any other agent directory
  1. 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:

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

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

Made with ❤️ by Singularity Research

README mirrored from the source repository 4 months ago. The original is authoritative.

Questions

About Yc Killer

How do I install Yc Killer?

Run npx yc-killer, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Yc Killer safe to use with an AI agent?

Its trust score is 81 out of 100 (excellent). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Yc Killer still maintained?

The last commit was 7 months ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.