Danialsamadi / v2go
v2go is a blazingly fast Go V2Ray config aggregator that processes 20,000+ configurations in 11 seconds (99.7% faster than Python), automatically removing duplicates and generating fresh subscription files every 6 hours.
View on GitHubAI Architecture Analysis
This repository is indexed by RepoMind. By analyzing Danialsamadi/v2go in our AI interface, you can instantly generate complete architecture diagrams, visualize control flows, and perform automated security audits across the entire codebase.
Our Agentic Context Augmented Generation (Agentic CAG) engine loads full source files into context on-demand, avoiding the fragmentation of traditional RAG systems. Ask questions about the architecture, dependencies, or specific features to see it in action.
Embed this Badge
Showcase RepoMind's analysis directly in your repository's README.
