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llm-council

Active·★ 27·MIT·Updated 2026-05-26
★ Trending★ API Integration

The LLM Council works together to answer your hardest questions

LLM Council is a multi-LLM deliberation system that enables multiple large language models to collaboratively answer questions through a three-stage process: independent responses, anonymous peer review, and chairman synthesis. It supports various LLM gateways and can be deployed as a Python library, MCP server, or HTTP API. Designed for high-quality, balanced answers with features like rubric scoring, bias auditing, and offline mode.

#llm-agents#llm-as-a-judge#llm-council#llm-tools#mcp#mcp-server#mcp-servers
$ Install
$ pip install "llm-council-core[mcp]"
↗ Visit site★ GitHub
01

Features

01Multi-stage deliberation with peer review and chairman synthesis
02Support for multiple LLM gateways (OpenRouter, Direct, Ollama, etc.)
03Configurable model selection, synthesis modes, and confidence tiers
04Advanced metrics: rubric scoring, bias auditing, quality metrics
05Extensible via MCP protocol, deployable as library, server, or HTTP API
02

Compatibility

Python
Library
Verified via docs
MCP
MCP Server
Verified via docs
HTTP
HTTP API
Verified via docs
Railway
Deploy on Railway
Verified via docs
Render
Deploy on Render
Verified via docs
03

Quick start

1
$ pip install "llm-council-core[mcp]"
04

Use cases

↳Complex reasoning and decision-making requiring diverse AI perspectives
↳Code review and quality gates in CI/CD pipelines
↳Research and analysis with multiple AI viewpoints to reduce bias
05

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Related searches

llm-council AlternativesBest Dev Tooling Tools 2026Open Source Dev Toolingllm-council Tutorialllm-council Vs Competitorsllm-agentsllm-as-a-judgellm-council

Comments

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  • H
    Harley NguyenMay 16, 2026

    Council deliberation is visible — you can see how models disagree and converge.

  • B
    Blake MartinezApr 27, 2026

    Multiple LLMs collaborating on hard questions produces better answers than single-model queries.

  • A
    Aspen WhiteMar 29, 2026

    Works with different model providers without framework changes.

  • Quinn Lee
    Quinn LeeMar 9, 2026

    Good for high-stakes decisions where you want multiple model perspectives.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 27
Last commit4d ago
StatusActive
LicenseMIT
CategoryDev Tooling
Trend (30d)
+1↑ 0.7%
Links
Documentation↗Discussion↗Issues↗Releases↗

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