Summary

This project offers an automated, multi-platform account registration system for services like OpenAI, Grok, Kiro, and Gemini. It supports OAuth token acquisition, a points system, and multi-user management, benefiting researchers and power users by streamlining account provisioning. The system is explicitly not for beginners due to its complex setup.

How It Works

The platform uses a distributed architecture: a Go backend (Gin, GORM, PostgreSQL) and Vue 3 frontend. Worker nodes on HuggingFace Spaces handle core tasks, orchestrated by TaskEngine and HFSpaceService. Cloudflare Workers act as a dynamic router to HF Space pools. Real-time logs use WebSockets; PostgreSQL stores data. This approach leverages elastic worker pools and Cloudflare routing for scalability.

Quick Start & Requirements

• Prerequisites: Go 1.25+, Node.js 18+, PostgreSQL 16+, Docker & Docker Compose.
• Local Dev: Clone, configure .env, run Go backend (go run cmd/server/main.go), start Vue frontend (npm install && npm run dev in web/).
• Docker Deploy: docker-compose -f docker-compose.prod.yml up -d.
• Initial Setup: Access UI (http://localhost:8000), register first user (admin), configure system settings (email, captcha solvers).

Highlighted Details

• Supports registration for OpenAI, Grok, Kiro, Gemini, and Turnstile.
• Integrates various registration methods: OAuth, gRPC-web, Turnstile, AWS Cognito, browser automation.
• Features CI/CD via GitHub Actions for Docker images and worker releases.
• Includes comprehensive HuggingFace Space management for deployment, health, autoscaling, and Cloudflare sync.

Maintenance & Community

Acknowledges support from "LINUX DO 社区". No specific maintainer, sponsorship, or community channel details are provided.

Licensing & Compatibility

Released under the MIT License, permissive for commercial use and integration into closed-source projects.

Limitations & Caveats

Deployment is complex, requiring significant user configuration of external services (HuggingFace, Cloudflare, Git) and credentials. The project explicitly offers no technical guidance, making it unsuitable for beginners.