Red Queen — AI skill for Claude Code
Red Queen v2 is a multi-agent orchestration backend powering the Red Queen Council.
How to install Red Queen
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open Strawbrryvape/_red_queen and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Red Queen does
Red Queen v2 is a multi-agent orchestration backend powering the Red Queen Council. It features a robust consensus engine, vector mesh, and node bridge to seamlessly coordinate AI models like Gemini, Kimi, and Claude for advanced multi-model decision-making and operations.
Alternatives in AI
- Claude Task Master — by eyaltoledano - A task management system for AI-driven development with Claude, designed to work seamlessly 26k ★
- Codecompanion.nvim — GitHub Repo stars AI-powered coding seamlessly in Neovim Neovim AI coding 6.3k ★
- Define — Definition phase - Clarify and scope problems with multi-AI consensus 2.8k ★
README
🔴👑 Red Queen v2 — Backend
**Syntropy LLC — Proprietary & Confidential**
Multi-agent orchestration backend: consensus engine, vector mesh, and node bridge for the Red Queen Council (Gemini / Kimi / Claude).
**Note:** This is the *backend*. The live UI at zyn-redqueen.netlify.app lives in the separate `red-queen-ui` repo and runs standalone (demo mode, or live with browser-side API keys). This backend requires a Python server (Render / Railway / Docker host) — it cannot run on Netlify.
Contents
orchestrator/— consensus engine, vector mesh, node logic, config, logging, bridgedocker/— Dockerfile + docker-compose for the mesh networkdocs/— architecture, deployment guide, research protocol (.docx)supabase_migration.sql— consensus log table schematest_rq_v2.py— test suite.env.example— config template (copy to.env, fill in, never commit)
Quick start
pip install -r requirements.txt
cp .env.example .env # fill in your values
python test_rq_v2.py # verify
See `docs/Red_Queen_v2_Architecture_Deployment_Guide.docx` for full deployment.
Read `MASTER_HANDOFF.md` before editing. Every model. Every time.
Related Skills
DelphiGenAI
The GenAI API wrapper for Delphi seamlessly integrates OpenAI’s latest models (gpt-5 serie), delivering robust
Umwelten
CLI tool for evaluating and comparing AI models across Google, Ollama, OpenRouter, LM Studio, LlamaBarn, and G
Claude 3 API
Claude 3 API PHP Package: Seamlessly integrate Anthropic's Claude 3 AI into your PHP projects. Features simple
Lad MCP Server
Lad MCP Server: Autonomous code & system design review for AI coding agents (Claude Code, Cursor, Codex, etc.)
Crypto MCP Server By Corax CoLAB
An Autonomous Hedge Fund AI Orchestrator by Corax CoLAB. Features Multi-Agent Consensus (Gemini, Claude, OpenA
Research Toolkit
Reusable commands for structured AI-assisted research workflows. Plan-Construct-Verify (PCV), Council of Agent
Related Agents
Coordinator Queen
Heavyweight nested orchestrator — spawns and supervises a tree of sub-agents via the Task tool, with an explic
Delegate
Expert LLM delegation specialist that seamlessly connects to external language models including GPT-4, GPT-3.5
Backend Risk Reviewer
Focused reviewer for backend, auth, API, chat, ingestion, and vector-search changes in this repository. Use wh