Compare the Top Prompt Management Tools that integrate with GitHub as of September 2025

This a list of Prompt Management tools that integrate with GitHub. Use the filters on the left to add additional filters for products that have integrations with GitHub. View the products that work with GitHub in the table below.

What are Prompt Management Tools for GitHub?

Prompt management tools are software programs designed to assist users in organizing and managing a variety of prompts. These tools utilize artificial intelligence technology to help streamline the process of creating, editing, and categorizing prompts for tasks such as email responses or social media posts. They offer customizable options, allowing users to tailor their prompts to fit their specific needs and preferences. These tools can improve efficiency and productivity by providing real-time suggestions and auto-completion features. Additionally, they can analyze data and metrics to optimize prompt performance over time. Compare and read user reviews of the best Prompt Management tools for GitHub currently available using the table below. This list is updated regularly.

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    HoneyHive

    HoneyHive

    HoneyHive

    AI engineering doesn't have to be a black box. Get full visibility with tools for tracing, evaluation, prompt management, and more. HoneyHive is an AI observability and evaluation platform designed to assist teams in building reliable generative AI applications. It offers tools for evaluating, testing, and monitoring AI models, enabling engineers, product managers, and domain experts to collaborate effectively. Measure quality over large test suites to identify improvements and regressions with each iteration. Track usage, feedback, and quality at scale, facilitating the identification of issues and driving continuous improvements. HoneyHive supports integration with various model providers and frameworks, offering flexibility and scalability to meet diverse organizational needs. It is suitable for teams aiming to ensure the quality and performance of their AI agents, providing a unified platform for evaluation, monitoring, and prompt management.
  • 2
    DagsHub

    DagsHub

    DagsHub

    DagsHub is a collaborative platform designed for data scientists and machine learning engineers to manage and streamline their projects. It integrates code, data, experiments, and models into a unified environment, facilitating efficient project management and team collaboration. Key features include dataset management, experiment tracking, model registry, and data and model lineage, all accessible through a user-friendly interface. DagsHub supports seamless integration with popular MLOps tools, allowing users to leverage their existing workflows. By providing a centralized hub for all project components, DagsHub enhances transparency, reproducibility, and efficiency in machine learning development. DagsHub is a platform for AI and ML developers that lets you manage and collaborate on your data, models, and experiments, alongside your code. DagsHub was particularly designed for unstructured data for example text, images, audio, medical imaging, and binary files.
    Starting Price: $9 per month
  • 3
    Markprompt

    Markprompt

    Markprompt

    Handle more support volume by giving your team AI superpowers instead of increasing headcount. Markprompt fits in at all touch points in the agent and customer journey. Bring customer support to the next level by deeply integrating it into your product and across touch points. With our REST APIs, JavaScript libraries, and headless React components, you can build customer support as an integral part of the user experience. Give your customer support team the tools they need to automate the mundane, so they can focus on what matters, delighting customers. Configure the instructions, behavior, and design of your chatbots and agent apps, and experiment with them in a playground environment before deploying. Learn how your customers and agents interact with your AI apps to spot deficiencies in your knowledge and address them.
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