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By nyldn
Orchestrate multi-LLM workflows across the full software lifecycle using Claude, Gemini, Codex, and Copilot in parallel — from research and specification to implementation, review, security audit, and deployment. Includes specialized agents for architecture, design, testing, and DevOps.
npx claudepluginhub nyldn/claude-octopus --plugin octoSmart 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
Backend architect for scalable API design, microservices, and distributed systems
Cloud architect for AWS/Azure/GCP infrastructure, IaC, FinOps, and multi-cloud strategies
Code review expert for quality analysis, security vulnerabilities, and production reliability
Database architect for data modeling, technology selection, schema design, and migration planning
Debugging specialist for errors, test failures, and unexpected behavior
Multi-AI requirements scoping using Codex and Gemini CLIs (Double Diamond Define phase)
Multi-AI validation, scoring, and review using Codex and Gemini CLIs (Double Diamond Deliver phase)
Multi-AI implementation using Codex and Gemini CLIs (Double Diamond Develop phase)
Multi-AI research using Codex and Gemini CLIs (Double Diamond Discover phase)
Decompose and execute large changes, migrations, or multi-issue fixes in parallel with quality gates
Uses power tools
Uses Bash, Write, or Edit tools
Runs pre-commands
Contains inline bash commands via ! syntax
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Delegate tasks to Codex, Gemini, and OpenCode AI agents via Owlex MCP
Consult external AIs (Gemini 2.5 Pro, OpenAI Codex, Claude) for second opinions. Use for debugging failures, architectural decisions, security validation, or need fresh perspective with synthesis.
AI-to-AI collaboration — review code, brainstorm ideas, and debate plans across Gemini, Codex, and Ollama
Multi-agent deliberation for AI coding assistants
Intelligent orchestration platform for AI coding tools — routes tasks to the best model, learns from outcomes, and enforces quality through multi-model consensus. 45 MCP tools for agent management, research, memory, consensus voting, codebase intelligence, and a full dev pipeline.
Multi-agent collaboration plugin for Claude Code. Spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any problem that benefits from diverse solutions. Evaluate by metric or LLM judge, merge the winner. 7 slash commands, agent templates, git DAG orchestration, message board coordination.
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.
Claude-native first, Octopus for escalation. Use Claude-native /init, /review, and /security-review when Claude is enough. Use Octopus when you want multiple model opinions, adversarial review, or stricter multi-LLM workflows.
🐙 Research, build, review, and ship — with eight AI providers checking each other's work. Say what you need, and the right workflow runs. Claude-native handles the ordinary path; Octopus handles the escalated path. 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), 50 commands (slash commands you type), 54 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.
🆕 v9.41 — Multi-LLM Council.
/octo:councilruns a structured 3/5/7-persona deliberation across Claude, Codex, Gemini, and OpenCode with goal modes (advice,decision,plan,implement,review), styles (balanced,adversarial,red-team,executive,implementation), benchmark-aware role routing, quorum + critical-veto gates, budget caps, and gated worktree handoff for approved plans. Use it when one model's opinion isn't enough./octo:council --goal decision --style adversarial "Should this service stay monolithic?" /octo:council --goal implement --implement plan-only "Refactor the auth flow"