Pieces

Pieces is an artificial memory system designed for developers and digital workers to automatically capture, organize, and retrieve context from their daily workflows. It runs as a background application at the OS level, monitoring activities across browsers, integrated development environments (IDEs), collaboration tools, and communication platforms. When a user switches between tabs, writes code in an editor, or participates in a chat conversation, Pieces silently records the content, timestamps it, and links it to the surrounding context—such as the project name, the app used, and the time of action. This creates a searchable timeline of work memories that can span up to nine months. The captured data includes code snippets, documentation fragments, error messages, chat threads, web pages, and any text-based information the user interacts with. Each memory is stored locally on the user’s machine by default, ensuring that sensitive material never leaves the device unless explicitly shared. Pieces supports multiple large language models (LLMs), allowing users to switch between different AI backends for tasks like explaining a snippet, generating code, or summarizing a conversation. Users can query their memory using natural language time-based searches, such as “what did I work on last Tuesday?” or “show me the code I copied from Slack yesterday afternoon,” and receive precise results. A standout feature is the “Stand-up” function, which compiles a daily summary of activities—what the user did, in which apps, and at what times—without requiring any manual logging. This helps with daily stand-up meetings, progress tracking, or simply recalling unfinished tasks. Pieces also enables users to create collections or folders of related memories, tag them with keywords, and sha