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Pieces
Long-term memory for your whole developer workstream

What is Pieces?

Pieces functions as an AI companion, designed to enhance the workflow of developers. It captures live context from various sources including browsers, IDEs, and collaboration platforms.

This tool offers robust snippet management, supports multiple large language models (LLMs), and processes all data locally, ensuring maximum security and control by keeping the code on the user's device.

Features

  • Single copilot for all LLMs: Choose from leading cloud and local providers or use your own key.
  • Snippet Management: Easily organize and share code snippets with relevant metadata.
  • Air-gapped Security: Pieces stores and processes data 100% offline, keeping your code on your device.
  • Long-Term Memory Context: Reference previous code errors or avoid cold starts.

Use Cases

  • Organizing and sharing code snippets
  • Integrating with multiple LLMs
  • Referencing previous code and contexts
  • Maintaining code security with local processing

Blogs:

  • Top 6 AI note-taking tools for 2026: in-person, online, and hybrid use cases

    Top 6 AI note-taking tools for 2026: in-person, online, and hybrid use cases

    Most AI note-taking lists are really lists of meeting bots, which join your video call and transcribe it. That's useful, but it's half the picture. Decisions happen in hallway conversations, client dinners, on-site visits, and hybrid rooms where nobody is on a video link. This guide covers different parts of the note-taking workflow: hardware capture for in-person settings, platform-native tools for online calls, and AI layers for organizing and synthesizing what you've captured. It compares six tools by capture context, workflow fit, pricing, and limitations.

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