Overview
Pieces is a productivity tool designed to automatically capture and connect your work activities, important information, and conversations, providing an AI-powered long-term memory system. It works at the OS-level, memorizing code, documents, chats, and more without interruption. Key architectural components include the LTM-2 engine, which focuses on contextual understanding and retrieval, and the Pieces Timeline, a central workspace for accessing workflow history. The tool integrates with popular IDEs and browsers, enabling context capture across different applications. Pieces uses LLMs to provide conversational search capabilities, answering questions and generating content based on your workflow history. It offers both cloud and local provider options, ensuring data control and privacy. Use cases include research management, meeting capture, and collaborative workflow preservation.