lxf746/any-auto-register

Auto-register & manage accounts for ChatGPT, Cursor, Kiro, Grok, Windsurf, Trae & 13+ AI platforms · Protocol/browser dual-mode · Plugin-based · One-click...

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lxf746/any-auto-register has 3k+ stars and 1k+ forks on GitHub, is written in Python, and was last pushed on Aug 25, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 12 minutes ago
Added to GitGenius on September 21st, 2026
Created on March 18th, 2026
Open Issues & Pull Requests: 21 (+0)
GitHub issues: Enabled
Number of forks: 1,078
Total Stargazers: 3,355 (+0)
Total Subscribers: 8 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 19.9 hours
Mean response time: 6.7 days
90th percentile: 31.6 days
Tracked items: 53

How this project is maintained

Roughly one issue in five opened in the past year never receives a reply. 72% of issues opened in the past year have been closed, leaving a working backlog. Three people close 92% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 19
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 89 days
Stale 30+ days: 18
Stale 90+ days: 12

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (12)
  • enhancement (6)

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Detailed Description

Any Auto Register is an account automation tool that registers and manages accounts across multiple AI platforms including ChatGPT, Cursor, Kiro, Grok, Windsurf, Trae, and others.

The tool addresses the gap left by similar projects that only handle registration for individual platforms. It provides a complete lifecycle solution covering email management through nine different channels, verification code handling, proxy rotation, token renewal, trial monitoring, and error diagnostics. The tool operates in three execution modes: pure protocol-based for speed, headless browser automation, and headed browser interaction. It includes a dashboard for tracking registration success rates and categorizing failures by root cause such as proxy blocks, email issues, or secondary verification requirements.

The tool is distributed as a one-click desktop application for Mac and Windows with an embedded React interface, eliminating the need for command-line deployment or Docker setup. It supports a plugin-based architecture allowing new platforms to be added without modifying core code, and integrates with the Any2API gateway to push registered accounts into a unified OpenAI-compatible API layer. This approach suits teams managing multiple AI platform accounts at scale who need visibility into account health and automated token lifecycle management.

The project maintains active development with regular updates to platform support and infrastructure. The codebase demonstrates comprehensive engineering for production account management, including monitoring systems, error categorization, and integration patterns. The tool includes specialized handling for captcha solving and multi-channel email verification, reflecting ongoing refinement of registration reliability across diverse platform requirements.