Claude Octopus: Multi-Model Orchestration That Actually Works

Claude Octopus: Multi-Model Orchestration That Actually Works

A new Claude Code plugin that orchestrates Claude, Codex, and Gemini with distinct roles and consensus gates—no single model's blind spots slip through.

22h ago·3 min read·1 views·via hn_claude_code
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Claude Octopus: Multi-Model Orchestration That Actually Works

What It Does — Beyond Parallel Execution

Claude Octopus isn't another "run three models, get three answers" tool. It assigns each AI model a specific role based on its strengths:

  • Codex handles implementation depth and detailed coding
  • Gemini provides ecosystem breadth and alternative approaches
  • Claude synthesizes and coordinates the overall solution

The key innovation is the 75% consensus gate — all three models must agree before any code ships. Disagreements trigger adversarial review where models debate their positions, catching errors that single-model workflows would miss.

Setup — Three Steps to Multi-Model Development

# 1. Add the marketplace (run in terminal, NOT in Claude Code session)
claude plugin marketplace add https://github.com/nyldn/claude-octopus.git

# 2. Install the plugin
claude plugin install octo@nyldn-plugins

# 3. Run setup (inside a Claude Code session)
/octo:setup

The setup wizard detects your installed providers and shows what's missing. You need zero external providers to start — Claude is built in. Add Codex or Gemini later to unlock multi-AI features.

Methodology, Not Just Machinery

Octopus implements the Double Diamond framework across four structured phases:

  1. Discover — Research and gather requirements
  2. Define — Scope and plan the solution
  3. Develop — Build and implement
  4. Deliver — Test and deploy

Quality gates between phases prevent sloppy work from advancing. This is fundamentally different from other orchestrators that give you infrastructure but no workflow.

32 Specialized Personas, Not Generic Agents

Octopus includes domain-specific experts that activate automatically:

  • security-auditor thinks in OWASP terms
  • backend-architect designs APIs with best practices
  • ui-ux-designer uses BM25 design intelligence

Don't know the command name? Just describe what you need — the smart router figures it out. Say "audit my API" and the security auditor persona activates.

Dark Factory Mode: Spec In, Software Out

For complex projects, enable Dark Factory mode:

/octo:factory --spec=requirements.md

This autonomously runs the full pipeline — research, define, develop, deliver — with holdout testing and satisfaction scoring. You review the final output, not every intermediate step.

Persistent Memory Across Sessions

Octopus deeply integrates with claude-mem for searchable, persistent memory. Past decisions, research, and context survive session boundaries, so your next workflow picks up where the last one left off.

Subscription Advantage

Codex and Gemini authenticate via OAuth. If you already subscribe to ChatGPT or Google AI, you pay nothing extra — no API keys required.

When To Use It — Specific Workflows That Shine

  1. Security-critical code — The adversarial review catches vulnerabilities
  2. Architecture decisions — Multiple perspectives prevent tunnel vision
  3. Learning new frameworks — Gemini's ecosystem knowledge plus Claude's synthesis
  4. Legacy code modernization — Codex's implementation depth with cross-model validation

Try It Today

Start with just Claude, then add other models as needed. The consensus gates and structured workflow will change how you think about multi-AI development — from "which answer is best?" to "how do these experts collaborate?"

AI Analysis

Claude Code users should immediately install Octopus for any non-trivial development task. The consensus gate alone justifies the setup time — it's like having three senior engineers review every PR, but instantaneously. Change your workflow: Instead of asking Claude for code, use `/octo:task "build a secure authentication system"`. Let the orchestrator assign roles, run the phases, and deliver vetted output. For existing projects, run `/octo:audit` to get multi-model security review. The biggest shift is mindset: You're no longer prompting a single model. You're managing a team of AI specialists with built-in quality control. This reduces the "hallucination anxiety" that plagues single-model workflows — if all three agree, confidence skyrockets.
Original sourcegithub.com

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