Ross ROSS = Recommend OSS · open-source software intelligence for agents

karpathy/llm-council

LLM Council works together to answer your hardest questions observed · 2026-08-28

github.com/karpathy/llm-council · Python observed · 2026-08-28

Health v2 · maintenance only

40/100

  • Activity 53
  • Release rhythm 35
  • Longevity 20

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 284
  • days_rel: n/a
  • days_push: 284
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

24369 stars · 4300 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A local web app that sends a user's question to multiple LLMs via OpenRouter, has them anonymously review and rank each other's answers, and uses a Chairman model to synthesize a final response. It was built as a fun weekend hack by Andrej Karpathy and is explicitly provided as-is without support.

Use cases

  • compare answers from multiple LLMs side by side
  • get a second opinion on hard questions from several AI models
  • have LLMs review and rank each other's responses
  • run a local ChatGPT-like interface backed by multiple providers
  • evaluate which LLM gives the most accurate and insightful answers
  • aggregate multiple model opinions into one final answer

When to choose

  • you want to query several frontier LLMs at once and compare their answers
  • you want anonymized cross-review between models to reduce single-model bias
  • you want a self-hosted, hackable ChatGPT-style UI you can modify with an LLM
  • you already have an OpenRouter API key and credits

When to avoid

  • you need a supported, maintained product with bug fixes and features
  • you want a single fast/cheap LLM response rather than multi-model fan-out
  • you can't use OpenRouter or don't want to pay per-query API costs
  • you need production-grade security, auth, or deployment support

Facets

application · maturity maintenance

llm-inference chat-interface web-framework http-client large-language-models artificial-intelligence web-development developer-tools python self-hosted cross-platform openrouter multi-llm llm-comparison peer-review ensemble chatgpt-alternative fastapi react nodejs web-server

1 source

Member repositories

RepositoryRoleHealth v2
karpathy/llm-councilmain40

For agents

markdown · JSON · MCP: product_card(name="karpathy/llm-council")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem