by nyldn · Codex Skill · ★ 3.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Claude Octopus Multi-LLM orchestration plugin for Claude Code — coordinates Codex, Gemini, Perplexity, OpenRouter, Copilot, Qwen, and Ollama with consensus gates. Eight tentacles, zero blind spots. 🐙 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
| Stars | 3,299 |
| Forks | 293 |
| Language | Shell |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 51.508/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-11 |
| Created | 2026-01-15 |
| Platforms | claude-code, cli, codex, gemini |
| Est. Tokens | ~612k |
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claude-octopus is Surface AI blindspots before you ship. Put up to 8 AI models on every research, design or coding task.. It is categorized as a Codex Skill with 3.3k GitHub stars.
claude-octopus is primarily written in Shell. It covers topics such as ai-agents, ai-orchestration, claude-code.
You can find installation instructions and usage details in the claude-octopus GitHub repository at github.com/nyldn/claude-octopus. The project has 3.3k stars and 293 forks, indicating an active community.
claude-octopus is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-octopus on Agent Skills Hub include 9router, paseo, pro-workflow. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.