LLM Council is a creative open-source web application by Andrej Karpathy that lets you consult multiple large language models together to answer questions more reliably than querying a single model. Instead of relying on one provider, this application sends your query simultaneously to several LLMs supported via OpenRouter, collects each model’s independent response, and then orchestrates a multi-stage evaluation where the models critique and rank each other’s outputs anonymously. After this peer-review process, a designated “Chairman” model synthesizes a final consolidated answer drawing on the strengths and insights of all participants. The interface looks like a familiar chat app but under the hood it implements this ensemble and consensus workflow to reduce bias and leverage diverse reasoning styles.

Features

  • Ensemble querying of multiple LLMs through OpenRouter
  • Multi-stage responses with peer review and ranking
  • "Chairman” synthesis for final answer output
  • Local storage of conversation history
  • React frontend with familiar chat UI
  • Configurable panel of models and workflows

Project Samples

Project Activity

See All Activity >

Follow LLM Council

LLM Council Web Site

Other Useful Business Software
MongoDB Atlas runs apps anywhere Icon
MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of LLM Council!

Additional Project Details

Programming Language

Python

Related Categories

Python Large Language Models (LLM)

Registered

2026-02-04