Prompt management tools go beyond storage - **they provide infrastructure for prompt versioning, testing, analytics, collaboration, and integration with development workflows.** - [HoneyHive](https://www.honeyhive.ai/) - Focused on rapid development and deployment of AI applications, HoneyHive lets teams test, tweak, and collaborate on prompt and chain logic with integrated observability tools. - [PromptLayer](https://promptlayer.com/) - A backend prompt observability and versioning layer that integrates with OpenAI. Allows developers to track, audit, and manage prompt changes over time, with analytics and logging features. - [Agenta](https://www.agenta.ai/) - An open-source platform for building, evaluating, and deploying LLM apps. Offers experiment tracking, prompt version control, prompt testing across models, and A/B evaluations. - [Promptable](https://promptable.ai/) - A full-featured prompt engineering IDE for individuals and teams. Includes features like prompt chaining, A/B testing, multi-model comparison, and team collaboration tools. - [PromptSmithy](https://www.promptsmithy.com/) - An easy-to-use web interface for writing, previewing, and organizing prompts. Useful for quick iterations and team-based editing, with prompt templating and integration options. And more technical prompting tools: - [PromptChains (GitHub)](https://github.com/MIATECHPARTNERS/PromptChains) - An open-source project for creating composable chains of prompts, agents, and tools. Ideal for developers looking to build modular, complex prompt-based applications. - [OpenPrompt (GitHub)](https://github.com/thunlp/OpenPrompt) - A flexible and research-oriented framework for prompt tuning and adaptation in NLP. It supports few-shot learning, soft prompts, and multiple language model backends. These tools are especially valuable in production environments or team settings where consistent, measurable prompt performance is critical.