Pieces Model Context Protocol

Transform how you work with AI by connecting language models to your personal context. Pieces preserves and leverages your history through Long-Term Memory Engine. 

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Securely store valuable context from your daily workflow

Our advanced Long-Term Memory Engine (LTM-2) intelligently captures code snippets, browser history, notes, and application data as you work, so you don't lose important context. Pieces Model Context Protocol creates a bridge between your favorite AI tools and your personal digital history, all running locally on your machine.

AI understands your work based on historical data

Stop starting every AI interaction from scratch. With Pieces MCP, you get recommendations based on your past decisions and preferences. "Have I encountered this bug before?" "Show me previous implementations of this authentication method." No more repeating yourself or providing the same context in every conversation. Pieces MCP remembers what matters, allowing you to focus on solving new challenges.

All data stays on your device for maximum privacy

Pieces keeps your sensitive code and context completely local. Your data never leaves your machine, ensuring complete privacy and security. Pieces MCP also integrates effortlessly with the development tools you already use within your IDE. Connect your context to Cursor, GitHub Copilot, and Goose with more integrations coming soon.

Pieces connects with all of your tools to automate every step of your development workflow

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Discover how to switch between on-device and cloud-based workflows seamlessly

Adapt integrations to fit your unique development process

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Never lose track of your work again. Try Pieces LTM-2 now!

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