Claude Octopus
Runs up to nine AI providers on a coding task with a 75% consensus gate that surfaces disagreements before they reach production.
Multi-model orchestrator that puts up to nine AI providers (Codex, Gemini, Antigravity CLI, Copilot, Qwen, Ollama, Perplexity, OpenRouter, OpenCode) on coding tasks alongside Claude Code, with a 75% consensus gate that flags disagreements before you ship. Ships 32 specialized personas, 49 slash commands, and 54 skills, plus a four-phase Discover-Define-Develop-Deliver workflow. Works with zero external providers to start and activates each one automatically as it is detected.
- Validate critical code changes across multiple models simultaneously
- Catch blind spots by requiring consensus from different assistants
- Run the same coding task through eight models and compare results
Runs up to nine AI providers on a coding task with a 75% consensus gate that surfaces disagreements before they reach production. Works with just Claude and scales as providers are added; five providers cost nothing extra if you already have the subscriptions. 3.7K stars.
Teams who want multi-model validation on critical code — using consensus across Claude, GPT-4, Gemini, and others to catch single-model blind spots.
https://github.com/nyldn/claude-octopus
By nyldn
How to Get It
This is a methodology or approach. Paste the instructions below into a Claude conversation to get started.
claude plugin marketplace add https://github.com/nyldn/plugins.git && claude plugin install octo@nyldn-plugins (or in a session: /plugin > Marketplace tab > install octo)
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
After installing, paste this into Claude:
Help me validate critical code changes across multiple models simultaneously
Trust Signals Reviewed
Community Pulse Active
Discussed on Hacker News, Reddit
- I finally finished Claude the Octopus and he looks MARVELOUS! I hope my friend's — Reddit · 1424 pts
- Finally finished Claude the Octopus! — Reddit · 536 pts
- Claude instance would have a pet octopus 🐙😭🥹 — Reddit · 34 pts
3 mentions across 1 sources
Reviewer notes
Reviewed review. These are observations, not a security certification.
Interesting multi-model consensus approach. Dark Factory autonomous mode is experimental.
Things to check
- Orchestrating 8 simultaneous models is computationally expensive and slower than single-model inference; requires careful tuning of the 75% consensus gate to avoid over-filtering useful output. The 32 personas and 47 commands introduce operational complexity that teams need to onboard on.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Interesting multi-model consensus approach. Dark Factory autonomous mode is experimental.