Joule is SAP's intelligent AI agent designed to transform how businesses leverage data for decision-making. It integrates seamlessly with existing systems to provide real-time insights into operations, allowing users to make informed choices that enhance productivity and efficiency. With natural language processing capabilities, Joule can understand user queries and deliver tailored information quickly, ensuring that critical business knowledge is readily accessible. Its ability to learn from user interactions also means Joule continually improves, evolving with the needs of the business.

Khoj AI Agent is an intelligent platform designed for seamless data exploration and knowledge retrieval. By utilizing natural language processing, users can engage in conversational queries, asking questions about datasets or seeking specific information. The agent dynamically interprets the queries, fetches relevant data, and presents insights in an easily understandable manner, making data interactions more accessible and effective.

N Figures Agent is a Python-based AI agent designed to simplify and accelerate the creation of data visualizations. By taking a single natural language prompt, it uses an LLM to generate plotting code (e.g., with matplotlib or seaborn), executes it, and displays multiple figures at once. Users can specify the number of charts, styles, and data sources. It supports exporting code and images, enabling seamless integration into reports and presentations.

The RAG-based Intelligent Conversational AI Agent combines a vector store-backed retrieval layer with Google’s Gemini LLM via LangChain to power context-rich, conversational knowledge extraction. Users ingest and index documents—PDFs, web pages, or databases—into a vector database. When a query is posed, the agent retrieves top relevant passages, feeds them into a prompt template, and generates concise, accurate answers. Modular components allow customization of data sources, vector stores, prompt engineering, and LLM backends. This open-source framework simplifies the development of domain-specific Q&A bots, knowledge explorers, and research assistants, delivering scalable, real-time insights from large document collections.

AI Agent Demo provides a versatile template for constructing AI agents that can interact with users and external data sources. It leverages LangChain to orchestrate chains, tools, and memory modules, enabling the agent to perform tasks such as web searches via SerpAPI, summarize web content, maintain conversation history with vector-based memory, and execute code snippets through a secure Python REPL tool. The agent exposes CLI commands and HTTP endpoints via FastAPI, supporting both text and voice input. Developers can customize tool definitions and chain logic to tailor agents for customer support, data retrieval, or automated workflows. The modular architecture simplifies integration of new capabilities like database queries or third-party APIs.

Air.ai is the world's first AI capable of conducting 10-40 minute phone conversations that sound like real human interactions. It features infinite memory and perfect recall, allowing it to understand and respond to customer needs precisely. The AI can autonomously take actions across more than 5,000 applications, acting as a full-time agent without requiring training or management. Available 24/7, Air.ai ensures consistent, high-quality service, providing valuable insights into customer behavior to aid in service and product customization.

Embabel Agent provides a structured approach for building AI agents in Node.js and browser environments. Developers define tools—such as HTTP fetchers, database connectors, or custom functions—and configure agent behaviors through simple JSON or JavaScript classes. The framework maintains conversation history, routes queries to the appropriate tool, and supports plugin extensions. Embabel Agent is ideal for creating chatbots with dynamic capabilities, automated assistants that interact with multiple APIs, and research prototypes that require on-the-fly orchestration of AI calls.