732124645/promptops

Analysis updated 2026-06-24

★ 31GoAudience · developerComplexity · 3/5Setup · easy

Mindmap

mindmap
  root((PromptOps))
    Inputs
      Prompt keys
      Template variables
      Model provider keys
    Outputs
      Versioned prompts
      Workflow traces
      Playground results
    Use Cases
      Prompt versioning
      Gray release
      Multi model compare
    Tech Stack
      Go
      Gin
      Vue 3
      SQLite

mindmap root((PromptOps)) Inputs Prompt keys Template variables Model provider keys Outputs Versioned prompts Workflow traces Playground results Use Cases Prompt versioning Gray release Multi model compare Tech Stack Go Gin Vue 3 SQLite

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What do people build with it?

USE CASE 1

Stop hardcoding prompts in application code by fetching them by key from a central server.

USE CASE 2

Gray release a new prompt version to a slice of traffic before rolling it out everywhere.

USE CASE 3

Compare the same prompt across OpenAI, Claude, Ollama, and Gemini from one Playground.

USE CASE 4

Chain render, model, and transform steps into a workflow with a recorded trace per step.

What is it built with?

GoGinGORMSQLiteVueDocker

How does it compare?

	732124645/promptops	aasixh/devgrep	ruoji6/database_scan
Stars	31	27	27
Language	Go	Go	Go
Setup difficulty	easy	easy	easy
Complexity	3/5	2/5	3/5
Audience	developer	developer	ops devops

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 30min

Default admin password and the promptops-dev-token bearer token are not safe for public deployment, see SECURITY.md for hardening.

In plain English

PromptOps is an open source runtime platform that pulls the prompts, agent configurations, and workflows used by AI applications out of the source code and puts them behind an API and a web UI. The pitch in the README is direct: stop hardcoding prompts in your application. Once a prompt lives in PromptOps, you can edit it, version it, publish it, gray release it (send a slice of traffic to a new version), and watch how it behaves, all without redeploying the app that uses it. The backend is written in Go using Gin, GORM, and SQLite, and listens on port 8080. The web UI is a Vue 3 single page app, and the team ships small SDKs in Node, Python, and Java so an application can fetch a prompt by a key like sql.generator, fill in template variables written as double curly braces, and subscribe to a WebSocket endpoint so the local cache updates the moment someone edits the prompt in the dashboard. The Playground page in the UI lets a user fill in the variables of a prompt, send it to a model provider (mock, OpenAI, Claude, Ollama, or Gemini), and compare results across versions. Agents bundle a prompt with a provider and model and can be run with one click. Workflows chain steps together, render then model then transform, and record a trace per step. Running it locally is meant to be quick: docker compose up build, then open http://localhost:8080 and log in with admin and admin. The README is explicit that the defaults, including a static bearer token called promptops-dev-token and the admin password, are not safe for the public internet. It points to SECURITY.md for the hardening checklist. Role based access splits users into admin, editor, and viewer.

Copy-paste prompts

Prompt 1

Show me how to add the PromptOps Python SDK to a FastAPI app. Fetch sql.generator by key, fill in variables, and subscribe to the WebSocket cache.

Prompt 2

Spin up PromptOps with docker compose, log in as admin, and create a versioned prompt with a 10 percent gray release. Walk through each click.

Prompt 3

Harden a PromptOps deployment for the public internet. Replace the static promptops-dev-token, swap SQLite for Postgres, and force HTTPS.

Prompt 4

Write a Vue 3 plugin that adds a new model provider tab to the PromptOps Playground for a custom in-house LLM endpoint.

Prompt 5

Migrate hardcoded LangChain prompts from an existing Node project into PromptOps. Generate the keys, push the templates, and replace the strings with SDK calls.

Frequently asked questions

What is promptops?

Open source runtime platform that moves AI prompts, agents, and workflows out of code into an API plus web UI with versioning, gray release, and live SDK updates.

What language is promptops written in?

Mainly Go. The stack also includes Go, Gin, GORM.

How hard is promptops to set up?

Setup difficulty is rated easy, with roughly 30min to a first successful run.

Who is promptops for?

Mainly developer.

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