Memonto functions as a middleware library for AI agents, orchestrating the complete memory lifecycle. During each conversation turn, it records user and AI messages, distills salient details, and generates concise summaries. These summaries are converted into embeddings and stored in vector databases or file-based stores. When constructing new prompts, Memonto performs semantic searches to retrieve the most relevant historical memories, enabling agents to maintain context, recall user preferences, and provide personalized responses. It supports multiple storage backends (SQLite, FAISS, Redis) and offers configurable pipelines for embedding, summarization, and retrieval. Developers can seamlessly integrate Memonto into existing agent frameworks, boosting coherence and long-term engagement.

This extension provides robust features for importing and searching through your ChatGPT conversation history. It allows users to execute cross-conversation searches while managing their chat data in a streamlined manner. By enabling quick access to past dialogues, users can revisit important information with ease. Whether you're a casual user or a pro, this extension is designed to elevate your interaction with ChatGPT, making it easier to keep track of discussions.