by bestruirui · Codex Skill · ★ 2.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Octopus A Simple, Beautiful, and Elegant LLM API Aggregation & Load Balancing Service for Individuals English | 简体中文 ✨ Features 🔀 Multi-Channel Aggregation - Connect multiple LLM provider channels with unified management 🔑 Multi-Key Support - Support multiple API keys for a single channel ⚡ Smart Selection - Multiple endpoints per channel, smart selection of the endpoint with the shortest delay ⚖️ Load Balancing - Automatic request distribution for stable and efficient service 🔄 Protocol Conversion - Seamless conversion between OpenAI Chat / OpenAI Responses / Anthropic API formats 💰 Price Sync - Automatic model pricing updates 🔃 Model Sync - Automatic synchronization of available model lists with channels 📊 Analytics - Comprehensive request statistics, token consumption, and cost tracking 🎨 Elegant UI - Clean and beautiful web management panel 🗄️ Multi-Database Support - Support for SQLite, MySQL, PostgreSQL 🚀 Quick Start 🐳 Docker Run directly: Or use docker compose: 📦 Download from Release Download the binary for your platform f
| Stars | 2,172 |
| Forks | 289 |
| Language | TypeScript |
| Category | Codex Skill |
| License | AGPL-3.0 |
| Quality Score | 33.75/100 |
| Open Issues | 63 |
| Last Updated | 2026-05-28 |
| Created | 2025-11-18 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~837k |
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octopus is One Hub All LLMs For You | 为个人打造的 LLM API 聚合网关. It is categorized as a Codex Skill with 2.2k GitHub stars.
octopus is primarily written in TypeScript. It covers topics such as ai, ai-gateway, anthropic.
You can find installation instructions and usage details in the octopus GitHub repository at github.com/bestruirui/octopus. The project has 2.2k stars and 289 forks, indicating an active community.
octopus is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to octopus on Agent Skills Hub include OmniRoute, llmgateway, NadirClaw. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.