ai-agent

csghub-server: Manage AI

Name: csghub-server: Manage AI
Author: OpenCSGs

Get a backend server to manage datasets and models with csghub-server, for founders leveraging AI, with 1.1k+ GitHub stars

1,046 stars230 forksGoHealth Score 8/10Updated 8/28/2026100% free · open source

What it does

CSGHub-server is a backend server for managing datasets, models, and running model inference, finetuning, and application spaces for AI-related tasks

Install / run

go get github.com/OpenCSGs/csghub-server

When to use it

•You need a centralized platform to organize and manage your AI datasets and models
•You want to run model inference, finetuning, or application spaces in a controlled environment
•You are building an AI-powered application and need a backend server to support your AI workflows

Quick start

1Clone the repository using `git clone https://github.com/OpenCSGs/csghub-server.git`
2Navigate to the project directory using `cd csghub-server`
3Build the server using `go build main.go`
4Run the server using `go run main.go`
5Access the server's API using the endpoint `http://localhost:8080` as mentioned in the README

Ready-to-paste prompt

Use the `curl -X POST -H 'Content-Type: application/json' -d '{"name": "my-model", "type": "classification"}' http://localhost:8080/models` command to create a new model

Heads up: Ensure you have Go installed on your system and the `GOPATH` environment variable is set, as the server is built using Go and relies on the Go ecosystem

Saves to your device

Topics

datasets

golang

huggingface

llm

models

platform

How csghub-server: Manage AI works

Codeflow

Free to inspect

Csghub-server: Manage AI is a very large Go project (~467k lines across 2626 code files, plus 2 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.

Size

Very large codebase

~467k lines · 2626 code files · days to read — use, don't read

Setup

Developer setup

A real software project. Use it via its install path; don't expect to read it all.

Runs on

Go · Docker

No API keys detected

Go 97%Python 2%Shell 1%

Where to start reading