AI Code Snippet Manager

What are the key features of Pieces that boost developer productivity?

Pieces acts as an AI-powered companion that captures live context from your browser, IDEs, and collaboration tools. It also provides:

• Snippet management to save, organize, and share code with metadata
• On-device, air-gapped security with cloud optional
• Real-time context for large language models (LLMs) via integrations with leading providers
• Live context across tools so saved items stay linked to the bigger project
• Time-based memory searches (9 months of memories) and natural-language search
• Plugins that work across your favorite tools (e.g., Chrome, VS Code)
• Private-by-design, with end-to-end control over your data

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How does Pieces handle data security and privacy for developers?

Pieces is designed to run on-device and be air-gapped from the cloud. Data is processed and stored locally by default. Cloud usage is optional—nothing is sent unless you explicitly allow it. This provides private by default behavior with no external servers unless you opt in.

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What integrations does Pieces support to streamline the developer workflow?

Pieces integrates with a range of tools to stay in your flow, including:

• IDEs and code editors (VS Code, JetBrains)
• Web browsers (Chrome, Edge)
• Collaboration tools (Microsoft Teams)
• Note-taking/documentation tools (Obsidian)
• JupyterLab

Additionally, it offers a plugin ecosystem and deeper memory integration (MCP) with language models like GitHub Copilot, Claude, Cursor, and Goose.

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What is LTM-2 and what does it do?

LTM-2 stands for Long-Term Memory Engine. It enables you to access and form memories right from your favorite tools, providing deeper, persistent context across your work.

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How long are memories stored and how can I search them?

Pieces stores memories on-device and offers time-based queries to find exactly what you need. The platform highlights “9 months of memories” for recall, with natural-language search to locate items by context, date, or related concepts.

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Is Pieces hardware-based or cloud-based?

Pieces is designed to run on-device with an air-gapped architecture. Cloud usage is optional, and nothing is sent unless you opt in. By default, your environment stays secure and under your control.

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How do I install Pieces for Developers and set up Pieces OS?

To get started:

• Download the Pieces for Developers Installation Manager from the official site
• Install the Pieces for Developers Desktop App and Pieces OS
• Ensure the Pieces OS Server is running (look for the Pieces logo in your system tray)
• Log in with your email and password (sign up if you don’t have an account)
• Explore features, integrations, Copilot, and plugins
• If you use Microsoft Teams, install the Pieces Teams bot and authenticate by typing “login” when prompted

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What platforms are supported for running Pieces?

Pieces provides a desktop app and Pieces OS for Windows, macOS, and Linux.

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How can I create a code snippet in Pieces?

You have several options:

• Natural Language Description: Use Describe a Snippet to specify what you want (language selectable) and have Pieces generate the snippet.
• Snippet Discovery: Find related snippets based on what you’ve saved and used, then save or reuse them.
• Snippet Extraction from Code Files or Folders: Drag and drop files/folders or select them to extract snippets from code.
• Code Snippet Creation from Screenshots: Use Pieces Copilot to extract code from screenshots, with explanations and answers to questions, then save the snippet.

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What programming languages does Pieces support?

Pieces supports a broad range of languages (examples include Python, Java, C#, JavaScript, TypeScript, Ruby, PHP, Swift, Kotlin, and more). It also provides Copilot support to help explain and answer coding questions. Integrations extend across VS Code, JetBrains, Chrome, Edge, Teams, Obsidian, and JupyterLab.

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How can I use Pieces with Microsoft Teams?

Install the Pieces Microsoft Teams bot and authenticate. In Teams, you can access your Pieces resources and workflows by logging in with the bot (for example, by typing "login" as prompted).

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What does Real-Time Context for LLMs mean in Pieces?

Pieces offers Real-Time Context for your preferred LLMs by allowing you to connect to leading cloud or local providers (or use your own keys). This ensures your working context is available to the LLMs to improve code understanding and workflow continuity.