Pieces for Developers

Main Features:

• OS-Level Memory: Automatically forms work memories in the background covering code, docs, and chats without interrupting the workflow.
• Context Preservation: Saved tabs, messages, or snippets stay linked to the bigger picture, allowing users to pick up right where they left off.
• Intelligent Search: Supports time-based natural language queries to find exactly what is needed across up to 9 months of memories. Users can choose from leading cloud and local LLM providers or use their own keys.
• LTM-2 Long-Term Memory Engine: Provides real-time context for favorite LLMs.
• Plugins & MCP Integration: Connects personal context with language models like GitHub Copilot, Claude, Cursor, and Goose via plugins (e.g., Chrome, VS Code) and MCP (Model Context Protocol).
• Privacy & Security: Runs on-device by default with end-to-end control. Cloud is optional, and nothing is sent to external servers unless allowed, keeping the environment secure.

Core Advantages: Acts as an invisible "second brain" built into the OS, used by over 150,000 high-performing developers at top companies. Boosts workflow efficiency by capturing memory invisibly without manual bookmarking.

Typical Use Cases:

• Research: Every link, highlight, and keyword is noted without bookmarking.
• Meetings: Quietly captures what is shared, said, or linked.
• Deep Work: Preserves flow whether building, writing, or debugging.
• Collaboration: Captures shared context across tools and teammates.

Target Users: Developers, knowledge workers, researchers, and teams dealing with massive amounts of contextual information. Supported Platforms: macOS, Windows, Linux, along with major browser and IDE plugins.