AddContext is designed to create AI-powered chatbots that provide personalized and instant responses tailored to the user’s needs. By leveraging your existing knowledge base, these AI chatbots guide users through feature adoption and can significantly enhance user satisfaction. The platform’s core functionality revolves around making complex information easily accessible and interactive, ensuring users always have the contextually correct responses they need.

This project showcases a fully functional customer service AI agent that leverages OpenAI’s Autogen framework and a Streamlit front end. It routes user inquiries through a customizable agent pipeline, maintains conversational context, and generates accurate, context-aware responses. Developers can easily clone the repository, set their OpenAI API key, and launch a web UI to test or extend the bot’s capabilities. The codebase includes clear configuration points for prompt design, response handling, and integration with external services, making it a versatile starting point for building support chatbots, helpdesk automations, or internal Q&A assistants.