repomix
Pack your whole repository into one AI-friendly file for Claude, ChatGPT, Gemini and more
claude-octopus ist ein Open-Source-Projekt aus der Kategorie Entwickler-Tools von nyldn (nyldn/claude-octopus auf GitHub). Es hat 4.190 Sterne auf GitHub und 394 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 7. Oktober 2026 auf GitHub aktualisiert.
Claude Octopus orchestrates Claude, Codex, Copilot, Gemini, and Ollama on one task — and surfaces disagreement
Install Claude Octopus as a Claude Code plugin following the README's instructions.
Configure whichever external providers you have (Codex, Copilot, Gemini, Ollama) — one plus Claude is enough for multi-AI runs.
Choose a phase tool (discover/define/develop/deliver), the full embrace workflow, or a debate/council/review mode.
Let the models work the same task and review the surfaced agreements and disagreements before deciding.
Runs Claude alongside Codex, Copilot, Gemini, and Ollama on the same task.
Discover, define, develop, and deliver phases as MCP tools, or the full pipeline via octopus_embrace.
Structured disagreement: octopus_debate and octopus_council force models to challenge each other.
Dedicated octopus_review and octopus_security tools for pre-ship checks.
A bundled library of specialist personas (31 per the docs) and skills under the octo: namespace.
Timeouts don't halt workflows, and the plugin remains useful with a single provider or none.
Clone the project and enter its directory.
git clone https://github.com/nyldn/claude-octopus.git
cd claude-octopusFollow the README's plugin installation for Claude Code, then configure your providers.
# see README for the exact plugin install commandFrom Claude Code, start a full multi-model run or a single phase, and review the combined output.
# e.g. use the octopus_embrace MCP tool or the octo: commands — see READMEDeveloper nyldn maintains the plugin and its community (r/ClaudeOctopus).
Yes, MIT-licensed. Each provider you connect uses your own accounts/subscriptions.
It needs Claude Code plus whichever providers you choose to connect; per the FAQ, even one external provider unlocks multi-AI features, and local Ollama can serve as a provider.
Single-model runs give one perspective. Octopus runs several models on the same task and explicitly surfaces disagreements, so weak consensus is visible before you ship.
Install the plugin per the README, connect at least one external provider, and run the embrace workflow on a real task.
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.