Hysen Labs
Open-source project
Danialsamadi/v2go avatar
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.

141 stars33 forksGoGPL-3.0
DEEP OPEN-SOURCE ANALYSIS

v2go aggregates and live tests V2Ray configurations

A Go program that collects V2Ray configuration files from public sources, verifies them with an embedded Xray core, and publishes working subscription files.

What the tool does

V2go is a high performance Go rewrite of an earlier Python based V2Ray configuration collector. It downloads configurations from public subscription sources, screens them with connectivity and deduplication checks, and live tests each one by running it through an embedded Xray core instance to confirm it carries real traffic before publishing only the working entries.

The pipeline

Every configuration passes through fetch, screen, live test, publish, and cleanup stages. A typical automated run fetches around fifty thousand raw configs, deduplicates them to ten to fifteen thousand candidates, live tests them in about two minutes, and publishes the several hundred that demonstrably work. The pipeline runs hourly via GitHub Actions and covers protocols including VLESS, VMess, Trojan, Shadowsocks, and Hysteria2.

Project context

The project is GPL-3.0 licensed and the August 2026 snapshot shows 141 stars and 33 forks. It is presented as a fast, self contained utility that can also test a user supplied list from their own network, and the GeoIP database is downloaded automatically on first run. The configurations it handles are third party endpoints whose availability is outside the tool's control.

Editorial conclusion

The project is GPL-3.0 licensed and records 141 stars with 33 forks as of August 2026. It is a Go based V2Ray configuration aggregator and live tester that publishes only configurations verified to carry traffic.

DEEP OPEN-SOURCE ANALYSIS

Official sources

Community notes

Community notes