Langchain OpenGPTs AI technology Top Builders

Explore the top contributors showcasing the highest number of Langchain OpenGPTs AI technology app submissions within our community.


OpenGPTs, powered by LangChain's technology stack, offers developers a versatile framework for harnessing AI capabilities. Leveraging over 60 language models, LangSmith's prompt customization, and a suite of 100+ tools, OpenGPTs provides unparalleled control and flexibility in AI model configurations.

RepositoryGitHub - LangChain OpenGPTs
TypeCustomizable AI Model Framework

Framework Overview

OpenGPTs serves as a customizable AI framework, allowing users to fine-tune language models, prompts, tools, vector databases, retrieval algorithms, and chat history databases. This level of control surpasses direct usage of OpenAI, enabling developers to interact with APIs directly and craft tailored user interfaces.

Technology Tutorials

    👉 Discover more OpenGPTs Tutorials on


    • 1. Language Models (LLMs): Select from over 60 LLMs integrated with LangChain. Note the varying prompts required for different models.
    • 2. Prompt Customization: Debug and fine-tune prompts with LangSmith for enhanced accuracy.
    • 3. Tool Integration: Access a diverse suite of 100+ tools provided by LangChain or easily create custom tools.
    • 4. Vector Databases: Choose from 60+ vector database integrations within LangChain.
    • 5. Retrieval Algorithms: Optimize retrieval algorithms based on project requirements.
    • 6. Chat History Databases: Tailor chat history databases to suit specific project needs.

    Agent Types (Default):

    1. "GPT 3.5 Turbo"
    2. "GPT 4"
    3. "Azure OpenAI"
    4. "Claude 2"

    OpenGPTs' appeal lies in its high level of customization compared to direct usage of OpenAI. Users gain control over language model selection, seamless addition of custom tools, and direct API utilization. Furthermore, developers can craft custom UIs as needed.

    Utilize OpenGPTs to harness the power of AI tailored precisely to your project requirements.

    For a deeper dive into usage and configuration, refer to the OpenGPTs Documentation.

    Langchain OpenGPTs AI technology Hackathon projects

    Discover innovative solutions crafted with Langchain OpenGPTs AI technology, developed by our community members during our engaging hackathons.

    Athlete Insight

    Athlete Insight

    Here's how it could work: Personalized Training Programs: Athletes can upload videos of their training sessions or games to the app. Twelve Labs' models would analyze these videos to provide personalized feedback and training programs tailored to each athlete's strengths, weaknesses, and goals. This could include technique improvement suggestions, strategies for game situations, and fitness training recommendations. Game Analysis: Coaches and players could use the app to analyze game footage in detail. The models could automatically detect key moments in the game, such as goals, turnovers, or important plays, and provide insights into what happened during those moments. This could help teams identify patterns, adjust strategies, and improve performance. Scouting and Recruitment: Scouts and recruiters could use the app to discover talented athletes from around the world. The models could analyze highlight reels and match footage to identify promising players based on their skills and performance metrics. This could streamline the scouting process and help teams find the perfect fit for their roster. Fan Engagement: The app could also enhance the fan experience by providing interactive features during live games. Fans could use their smartphones to capture moments from the game and receive instant analysis and commentary from Twelve Labs' models. This could make watching sports more engaging and educational for fans of all ages. Overall, "Athlete Insight" could transform the way athletes train, coaches strategize, scouts recruit, and fans engage with sports, thanks to Twelve Labs' cutting-edge technology in video understanding.