By hoojinguyen
v9.18.0 — Multi-LLM orchestration for Claude Code with Double Diamond workflows, provider routing, safety gates, and automation. Use '/octo:auto' or just describe what you need. Run /octo:setup.
Smart router - Single entry point with natural language intent detection
[Legacy] Redirects to /octo:auto — the smart router
Write an AI-optimized PRD using multi-AI orchestration and 100-point scoring framework
Run content analysis pipeline on URL(s) to extract patterns and create anatomy guides
Start a creative thought partner brainstorming session
Performance engineer for optimization, observability, and scalable system performance
Security auditor for DevSecOps, OWASP compliance, vulnerability assessment, and threat modeling
TDD orchestrator enforcing red-green-refactor discipline and test-driven development
Backend architect for scalable API design, microservices, and distributed systems
Cloud architect for AWS/Azure/GCP infrastructure, IaC, FinOps, and multi-cloud strategies
Auto-detect work context (Dev vs Knowledge) for workflow tailoring
Lock in user goals upfront and validate outputs against them — use to prevent scope drift
Extract patterns and anatomy from URLs — use to reverse-engineer content strategies from live pages. Use when: Use PROACTIVELY when user wants to:. "analyze this article", "analyze this content". "deconstruct this content", "break down this post"
Multi-AI requirements scoping using Codex and Gemini CLIs (Double Diamond Define phase). Use when: AUTOMATICALLY ACTIVATE when user requests clarification or scoping:. "define the requirements for X". "clarify the scope of Y"
Multi-AI validation, scoring, and review using Codex and Gemini CLIs (Double Diamond Deliver phase). Use when: AUTOMATICALLY ACTIVATE when user requests validation, scoring, or review:. "review X" or "validate Y" or "test Z". "score this", "quality check", "validate before shipping"
Uses power tools
Uses Bash, Write, or Edit tools
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Every AI model has blind spots. Claude Octopus puts up to eight of them on every task, so blind spots surface before you ship — not after. It orchestrates Codex, Gemini, Copilot, Qwen, Ollama, Perplexity, and OpenRouter alongside Claude Code, with consensus gates that flag any disagreements.
🐙 Research, build, review, and ship — with eight AI providers checking each other's work. Say what you need, and the right workflow runs. A 75% consensus gate catches disagreements before they reach production. No single model's blind spots slip through.
🧠 Remembers across sessions. Integrates with claude-mem for persistent memory — past decisions, research, and context survive session boundaries.
⚡ Spec in, software out. Dark Factory mode takes a spec and autonomously runs the full pipeline — research, define, develop, deliver. You review the output, not every step.
🔄 Four-phase methodology, not just tools. Every task moves through Discover → Define → Develop → Deliver, with quality gates between phases. Other orchestrators give you infrastructure. Octopus gives you the workflows.
🐙 32 specialized personas (role-specific AI agents like security-auditor, backend-architect), 48 commands (slash commands you type), 51 skills (reusable workflow modules). Say "audit my API" and the right expert activates. Don't know the command? The smart router figures it out.
🐙 Works with just Claude. Scales to eight. Zero providers needed to start. Add them one at a time — each activates automatically when detected.
💰 Five providers cost nothing extra. Codex and Gemini use OAuth (included with subscriptions). Qwen has 1,000-2,000 free requests/day. Copilot uses your GitHub subscription. Ollama runs locally for free.
| Version | Best Features |
|---|---|
| v9 (current) | Up to 8 providers (Codex, Gemini, Copilot, Qwen, Ollama, Perplexity, OpenRouter, OpenCode). Four-way AI debates. Smart router — just say what you need. Discipline mode with 8 auto-invoke gates. Two-stage review (spec compliance then code quality). Circuit breakers with automatic provider recovery. Cursor + OpenCode + Codex cross-compatibility. Effort-aware skills save tokens automatically. |
| v8 | Multi-LLM code review with inline PR comments. Parallel workstreams in isolated git worktrees. Reaction engine — auto-responds to CI failures. 32 specialized personas. Dark Factory autonomous pipeline. |
| v7 | Double Diamond workflow. Multi-provider dispatch. Quality gates and consensus scoring. Configurable sandbox modes. |
# Terminal (not inside a Claude Code session):
claude plugin marketplace add https://github.com/nyldn/claude-octopus.git
claude plugin install octo@nyldn-plugins
# Then inside Claude Code:
/octo:setup
That's it. Setup detects installed providers, shows what's missing, and walks you through configuration. You need zero external providers to start — Claude is built in.
git clone --depth 1 https://github.com/nyldn/claude-octopus.git ~/.codex/claude-octopus && mkdir -p ~/.agents/skills && ln -sf ~/.codex/claude-octopus/skills ~/.agents/skills/claude-octopus
Restart Codex. Skills appear automatically — invoke with $skill-doctor, $skill-debug, etc.
npx claudepluginhub hoojinguyen/claude-octopusv9.52.0 - Reliability wave: tangle contextual review correction loop with hard round ceiling, progress-supervised review rounds (per-agent stall watch, descendant-tree kills), council diversity and agy pin fixes, marketplace generator source-of-truth fix, provider troubleshooting runbook and cost-expectations docs. Run /octo:setup.
Supergraph enforces a complete, evidence-based coding pipeline — scan → plan → TDD → fix → verify → review — grounded in real codebase analysis at every step. It combines AST dependency graphs, LSP-level code intelligence, and a structured skill chain so Claude never guesses about impact before making a change.
Persistent file-based planning for AI coding agents. Crash-proof markdown plans (task_plan.md, findings.md, progress.md) that survive context loss and /clear, with an opt-in completion gate and multi-agent shared state. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard. Includes Arabic, German, Spanish, and Chinese (Simplified and Traditional).
AI-powered development tools for code review, research, design, and workflow automation.
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.