csghub-server: Manage AI
CSGHub-server is a backend server for managing datasets, models, and running model inference, finetuning, and application spaces for AI-related tasks
- •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
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 modelSkip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/csghub-server && curl -fsSL https://workflowstacks.com/api/skills/csghub-server/claude-skill -o ~/.claude/skills/csghub-server/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Csghub-server: Manage AI is a very large Go project (~473k lines across 2670 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.
- 1README.mdStart here — what it does and how to install it
- 2AGENTS.mdThe instructions the AI actually follows
- 3cmd/csghub-server/main.goWhere the program starts running
- 4go.modDependencies and the commands it exposes
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/csghub-server && curl -fsSL https://workflowstacks.com/api/skills/csghub-server/claude-skill -o ~/.claude/skills/csghub-server/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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