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sahibzada-allahyar/

YC-Killer

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YC-Killer is a TypeScript-based library of enterprise-grade AI agents with multiple agent implementations, distributed under a license not listed. It emphasizes open-source AI agents and provides a multi-agent architecture across several domains.

2.8kstars
126forks
160issues
2025since
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Reviewgenerated from repository data · Aug 5, 2026

What it is

A library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups. The project includes multiple agent implementations (e.g., Agentic Deep Research, Agentic Quant Hedge Fund, Jarvis Agentic Executive Agent, Nano-Claude-Code, Agentic Call Center, Agentic AI Hospital, Agentic Professor, Agentic Accounting Firm) built with TypeScript/Node.js and React/Next.js, and containerization via Docker and Kubernetes.

How it works

All agents are built with enterprise-grade technologies and practices:

  • TypeScript/Node.js for backend services
  • React/Next.js for frontend
  • Docker and Kubernetes for containerization and orchestration
  • Real-time capabilities with WebSocket
  • Secure authentication and authorization
  • Comprehensive testing and documentation

Getting started

Getting started instructions are distributed per agent. The README indicates to clone the main repository and then navigate to a specific agent directory:

git clone https://github.com/Sahibzada-A/YC-Killer.git
cd YC-Killer
cd Agentic-Accounting-Firm  # or any other agent directory

Follow the agent-specific setup instructions in its README.md file.

Recent releases

No releases are listed in the RELEASES section (latest 0: - none).

Traction

The repository has 2779 stars, 126 forks, and 160 open issues as of the provided data. The last push date is 2026-05-11.

Behind the repo

The README references Singularity Research as the organization behind the project and lists contact information and collaboration descriptions. The repository description and README indicate an affiliation with Singularity Research.

Caveats

License is listed as none. Created date is 2025-02-22. No explicit latest release notes are provided in the RELEASES section.

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