PromptHub

Git-style prompt management, testing, and deployment platform for teams running multiple LLMs in production.

Freemium· Free signup; paid team plans (contact sales / in-app)WritingMulti-model (OpenAI, Anthropic, Google, Meta, Mistral, Bedrock, Azure)

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Best for

Pick PromptHub if you have a team shipping LLM features and need versioning, multi-model A/B testing, and evals in one place instead of duct-taped spreadsheets.

Skip if

Skip it if you're a solo developer with a handful of prompts in a single repo — Git plus a notebook will do the same job for free.

PromptHub is a collaboration platform for prompt engineering, built around Git-like version control for prompts. Teams can author, fork, compare, and deploy prompts across OpenAI, Anthropic, Azure, Google, Meta, AWS Bedrock, and Mistral models, then ship them to production via a simple API, shareable forms, or Zapier. The playground supports side-by-side variation testing, prompt chaining via a no-code builder, and automated evaluation pipelines with guardrails.

It's aimed at product and ML teams who have outgrown pasting prompts into Notion docs and need an auditable workflow with reviewers, versioning, and eval baselines. Customers cited include WSJ, Shopify, Stanford, Adobe, Visa, and Cisco. Pricing isn't on the homepage; there's a free signup tier and a sales demo path, with paid plans handled inside the product.

A public community library adds a discovery layer where users can browse trending prompts, fork them, and build reputation. That community surface plus the multi-provider playground makes PromptHub closer to a 'GitHub for prompts' than a single-vendor prompt IDE.

Editor's take

The 'GitHub for prompts' framing actually holds up here: versioning, forks, and a public library sit alongside genuinely useful evals and a multi-provider playground. The opaque pricing is annoying, but for teams past the prototype stage it's one of the more credible prompt-ops platforms.

— The AI Tool Bible editorial team