yzma
https://github.com/hybridgroup/yzma
yzma lets you use Go to perform local inference with Vision Language Models (VLMs), Large Language Models (LLMs), Small Language Models (SLMs), and Tiny Language Models (TLMs) by using the llama.cpp libraries all running on your own hardware.
https://github.com/hybridgroup/yzma
monigo
https://github.com/iyashjayesh/monigo
MoniGo is a performance monitoring library for Go applications. It provides real-time insights into application performance with an intuitive user interface, enabling developers to track and optimize both service-level and function-level metrics.
https://github.com/iyashjayesh/monigo
kubo
https://github.com/ipfs/kubo
Kubo was the first IPFS implementation and is the most widely used one today. Implementing the Interplanetary Filesystem - the standard for content-addressing on the Web, interoperable with HTTP. Thus powered by future-proof data models and the libp2p for network communication. Kubo is written in Go.
https://github.com/ipfs/kubo
flint
https://github.com/volantvm/flint
Flint is a modern, self-contained KVM management tool built for developers, sysadmins, and home labs who want zero bloat and maximum efficiency. It was built in a few hours out of a sudden urge for something better.
https://github.com/volantvm/flint
runtime-radar
https://github.com/Runtime-Radar/runtime-radar
Runtime Radar is an open-source solution for monitoring runtime security events and responding to incindents in containerized environments.
https://github.com/Runtime-Radar/runtime-radar
1
The Green Tea Garbage Collector
https://go.dev/blog/greenteagc
Go 1.25 includes a new experimental garbage collector called Green Tea, available by setting GOEXPERIMENT=greenteagc at build time. Many workloads spend around 10% less time in the garbage collector, but some workloads see a reduction of up to 40%!
It’s production-ready and already in use at Google, so we encourage you to try it out. We know some workloads don’t benefit as much, or even at all, so your feedback is crucial to helping us move forward. Based on the data we have now, we plan to make it the default in Go 1.26.
https://go.dev/blog/greenteagc
Go Wiki: Go-Release-Cycle
https://go.dev/wiki/Go-Release-Cycle
Go is released every six months. Each release cycle is broken down into a development phase lasting about 4 months, followed by a 3-month period of testing and polishing called the release freeze. If everything goes well, work on the next release begins before the previous release has shipped, resulting in an overlap of about a month.
https://go.dev/wiki/Go-Release-Cycle
Timezones as Types: Making Time Safer to Use in Go
https://www.matthewhalpern.com/posts/golang-type-safe-timezones
TL;DR Meridian uses Go generics to encode timezones directly into the type system (et.Time, pt.Time, etc.), catching timezone bugs at compile time instead of production.
https://www.matthewhalpern.com/posts/golang-type-safe-timezones
From 19 Hours to Under a Second: Building a Blazing-Fast TCP Scanner in Go
https://docs.serviceradar.cloud/blog/blazing-fast-go-syn-scanner
https://docs.serviceradar.cloud/blog/blazing-fast-go-syn-scanner
vacuum
https://github.com/daveshanley/vacuum
An ultra-super-fast, lightweight OpenAPI linter and quality checking tool, written in golang and inspired by Spectral.
https://github.com/daveshanley/vacuum
do
https://github.com/samber/do
This library implements the Dependency Injection design pattern. It may replace the fantastic uber/dig package. samber/do uses Go 1.18+ generics and therefore offers a type‑safe API.
https://github.com/samber/do
croc
https://github.com/schollz/croc
croc is a tool that allows any two computers to simply and securely transfer files and folders.
https://github.com/schollz/croc
How We Saved 70% of CPU and 60% of Memory in Refinery’s Go Code, No Rust Required
https://www.honeycomb.io/blog/how-we-saved-70-cpu-60-memory-refinery
https://www.honeycomb.io/blog/how-we-saved-70-cpu-60-memory-refinery
frp
https://github.com/fatedier/frp
frp is a fast reverse proxy that allows you to expose a local server located behind a NAT or firewall to the Internet. It currently supports TCP and UDP, as well as HTTP and HTTPS protocols, enabling requests to be forwarded to internal services via domain name.
https://github.com/fatedier/frp
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