Stellar Chat empowers teams to build conversational AI agents by providing a robust framework that abstracts LLM interactions, memory management, and tool integrations. At its core, it features an extensible pipeline that handles user input preprocessing, context enrichment through vector-based memory retrieval, and LLM invocation with configurable prompting strategies. Developers can plug in popular vector storage solutions like Pinecone, Weaviate, or FAISS, and integrate third-party APIs or custom plugins for tasks like web search, database queries, or enterprise application control. With support for streaming outputs and real-time feedback loops, Stellar Chat ensures responsive user experiences. It also includes starter templates and best-practice examples for customer support bots, knowledge search, and internal workflow automation. Deployed with Docker or Kubernetes, it scales to meet production demands while remaining fully open-source under the MIT license.

Ginee X leverages advanced Artificial Intelligence Generated Content (AIGC) technology to help users efficiently tackle complex tasks such as knowledge search, copywriting, tool invocation, and more. With deep learning tech and powerful computing capabilities, Ginee X provides personalized services that save users time and energy. It excels in multiple areas like writing reports, designing charts, coding, and data analysis. Additionally, it prioritizes user experience and data security with privacy protection measures. Customizable intelligent assistants further enhance its utility.