IMMA (Interactive Multi-Modal Memory Agent) is a modular framework designed to enhance conversational AI with persistent memory. It encodes text, image, and other data from past interactions into an efficient memory store, performs semantic retrieval to provide relevant context during new dialogues, and applies summarization and filtering techniques to maintain coherence. IMMA’s APIs enable developers to define custom memory insertion and retrieval policies, integrate multi-modal embeddings, and fine-tune the agent for domain-specific tasks. By managing long-term user context, IMMA supports use cases that require continuity, personalization, and multi-turn reasoning over extended sessions.

Wintermute AI is a Chrome extension that acts as your intelligent web companion. With advanced natural language processing capabilities, it comprehensively analyzes web pages to present key insights and answer user queries accurately. Users can engage in context-aware conversations, enabling them to explore topics deeply without getting lost in information overload. Ideal for students, professionals, and research enthusiasts, Wintermute AI streamlines the process of information retrieval and learning, making web interactions more productive and engaging.