Rasa Core is an open-source framework designed for building conversational agents, or chatbots. It focuses on managing dialogue and understanding user intents, allowing developers to create more interactive and context-aware applications. By using machine learning, Rasa Core can learn from conversations and improve its responses over time. The framework operates by combining natural language understanding (NLU) with dialogue management. This means it can interpret user inputs and decide how to respond appropriately. Rasa Core is part of the larger Rasa ecosystem, which also includes Rasa NLU for intent recognition and entity extraction.