An LLM council that reviews your coding agent's every move
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Updated
Apr 28, 2026 - TypeScript
An LLM council that reviews your coding agent's every move
The LLM Council works together to answer your hardest questions
Multi-LLM consensus extension for Gemini CLI. Inspired by Andrej Karpathy's llm-council.
Cross-agent plugin collection for AI coding CLIs. Delegate tasks and run workflow patterns (council, parallel review, debug) across Claude Code, OpenCode, Gemini CLI, and Codex.
Claude Code skill: Run decisions, code, and plans through a council of 5 AI advisors with anonymous peer review. Based on Karpathy's LLM Council.
Multi-model consensus debate via the filesystem. LLMs propose, peer-review, rebut, vote and synthesize a group-confirmed answer. CLI + MCP.
Codex Council adapts the LLM Council method to Codex-only workflows: five independent council roles, compact role outputs, anonymized review, rubric scoring, dissent capture, and chairman synthesis for implementation decisions.
LLM councils plan it. Ralph loops perfect it. OpenCode worktrees ship it.
A Claude Code skill that pressure-tests any decision through 5 AI advisors with anonymous peer review and a chairman synthesis
Multi-perspective code review council for Claude Code. 3 advisors by default, 10 agents in deep mode (Opus + Codex). Evidence chains, adversarial self-test, dual-path verdict. Based on Karpathy's LLM Council.
Autonomous writing optimizer: 4 LLMs compete, rank each other, and hill-climb toward the best argument — combining karpathy/autoresearch and karpathy/llm-council. Early development.
A meta-skill for Claude Code (Anthropic CLI) that guides you through creating, testing, and iterating custom skills via structured conversation. Designed with LLM Council methodology: interview intent, generate draft, smoke-test immediately, refine until satisfied. A skill is just a markdown file — this tool embraces that simplicity.
Multi-model debate interface inspired by Andrej Karpathy Pro/Con/Judge agents with memory, uncertainty signals, and OpenRouter + Ollama support
Models debating in Cursor
Multi-agent AI system for Etsy digital products. Scrape competitors → Analyze gaps → Generate PDFs → Track performance.
Claude Code skill implementing Andrej Karpathy's LLM Council methodology. Runs any decision through 5 independent AI advisors (Contrarian, First Principles, Expansionist, Outsider, Executor), anonymous peer review, and chairman synthesis. Outputs HTML report + full markdown transcript.
A Claude skill that pressure-tests decisions through independent AI advisors with peer review. Based on Karpathy's LLM Council.
Run your conversations through a panel of expert personas — communication, psychology, behavior science, ADHD — to surface patterns, build evolving profiles of the people you talk to (and yourself), and coach you on how to reach them.
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