Strawbrryvape

Red Queen — AI skill for Claude Code

AI community

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.

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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, bridge
  • docker/ — Dockerfile + docker-compose for the mesh network
  • docs/ — architecture, deployment guide, research protocol (.docx)
  • supabase_migration.sql — consensus log table schema
  • test_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.