golang-open-source-projects
为互联网IT人打造的中文版awesome-go
A curated list of 75 actively maintained Go open-source projects across 10 categories, including AI frameworks, cloud-native tools, databases, and web dev, written in Chinese for Go developers.
This repository is a curated directory of Go open-source projects, written in Chinese and aimed at Chinese-speaking developers. It is similar in concept to the well-known "awesome-go" list that exists in English, but the maintainer has reorganized and trimmed the content to focus on projects that are still actively maintained, have a clear place in the ecosystem, and are worth studying or choosing for real work.
The current version lists 75 projects grouped into 10 categories. The categories cover AI and agent frameworks, cloud-native and container tools, service management and platform engineering, data storage and search, observability, network and security, web development, data processing and machine learning, developer tools and core libraries, and blockchain. Each entry is a well-known Go project with a one-sentence Chinese description of what it does.
The maintainer notes a deliberate shift away from trying to list every possible project. Older entries that were abandoned, archived, or replaced by something better have been removed. Projects that appeared in multiple categories have been consolidated to a single best-fit category. The AI category is new and includes frameworks for building applications on top of large language models, tools for local model inference, a Go implementation of the Model Context Protocol, and a vector database.
The list was last reviewed for maintenance status on 2026-03-06. It is a reference resource, not installable software. Someone browsing it is expected to read Chinese, though the project names and links point to their original GitHub repositories where documentation is often available in English.
Where it fits
- Discover well-maintained Go libraries for cloud-native infrastructure, observability, or data storage to evaluate for a new project
- Find Go-based AI and LLM frameworks, local model inference tools, and vector databases for a Go backend
- Use as a reading list to study production-grade Go codebases across multiple domains