Infinite Artificial Memory for Developers

Pieces is an AI-powered memory tool that automatically captures and organizes everything developers work on—code snippets, documentation, chat conversations, browser tabs, and more—across all their tools and applications. It operates at the OS level to create a searchable, contextual record of your work without any manual effort or workflow interruption.

Who It's For & Core Problem

Designed for developers and technical professionals who juggle multiple tools, projects, and contexts daily, Pieces solves the persistent problem of context switching and information loss. Instead of manually bookmarking, saving snippets, or trying to remember where you found something, Pieces builds an automated "second brain" that captures what matters as you work.

Key Features & Capabilities

• Automatic Context Capture: Records code, docs, chats, tabs, and links with full surrounding context preserved
• LTM-2 Engine: Proprietary Long-Term Memory technology that provides pinpoint-accurate LLM responses using your personal work history
• Time-Based Search: Natural language queries to find anything from your work history ("code I wrote 9 months ago")
• Cross-Tool Integration: Works seamlessly across VS Code, Chrome, IDEs, and other development tools via plugins
• MCP Support: Deep integration with GitHub Copilot, Claude, Cursor, and Goose for context-aware AI assistance
• Privacy-First Architecture: Runs locally on-device by default; air-gapped from cloud unless you explicitly opt in

Typical Use Cases

Pieces excels in research (capturing links and highlights automatically), meetings (recording shared context without manual notes), deep work sessions (preserving flow state context), and team collaboration (maintaining shared context across tools and teammates).

What Sets It Apart

Unlike traditional snippet managers or note-taking apps, Pieces operates invisibly at the operating system level, requiring zero manual input. Its local-first architecture ensures privacy and security, while the LTM-2 engine transforms captured memories into actionable context for AI coding assistants. With 150,000+ developers at top companies already using it, Pieces represents a fundamental shift in how technical professionals manage knowledge and maintain context.