Get more productive with

Get more productive with

Pieces Copilot

Pieces Long-Term Memory

Pieces Drive

Pieces Copilot

Pieces Long-Term Memory

Pieces Drive

Pieces Copilot

Chat with a copilot powered by the LLM of your choice. Recall all the activities on your device using the Pieces Long-Term Memory & bring contextual awareness to your workflow.

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Copilot doesn’t guess, it knows

Pieces is the only AI copilot that captures context at the OS level, meaning it understands your work across all your tools: browsers, code editors, team chats, and more.

You don’t just get AI that answers generic questions,  you get answers that are grounded in your actual workflow. You can ask: “What was I working on before this meeting?” → Pieces recalls your last open files, tabs, or Slack threads so you can quickly reorient. “Summarize my conversations in the team chat for this project.” → Get instant summaries based on actual discussions, not guesses.

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Chat with the context you want

Point the AI at any file, webpage, or folder to get deeply relevant, personalized answers.

Need to: Ask questions about your current research, notes, or planning docs? Combine insights from multiple projects or files? You can do it all without switching tabs or losing context. Instead of relying on a generic chatbot, Pieces knows what you’re working on, reacts in real-time, and helps you get answers faster,  right within your workspace

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AI copilot powered by your choice of LLM

With Pieces, you can choose the LLM that works best for you or your organization's AI governance rules. Use cloud models when you need top-tier performance and results, or work offline and keep your conversations private, using on-device models that are accelerated by your GPU. Switch models mid-conversation

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  • You need to try pieces out if you write code and feel that you need a true second brain, where you can basically store any function or code you've ever written and can use it again and again and again.

    Henry Rausch

    Quality Engineer @ FIC America Corp

  • Everyone's got a copilot. You're inverted, you've rotated the whole thing. It's not a vertical copilot, it's a horizontal one.

    Scott Hanselman

    VP of Developer Community @ Microsoft

  • Pieces Copilot has become much more efficient for any developer to ask any question and get a particular result. The LLMs in Pieces are sensitive to programming, so I think that gives better results.

    Ayush Kumar

    Data Analyst @ Accenture

  • I was playing around with live context, and just wow, I’m speechless. I mean, this is not just a coding assistant anymore, it’s a mentor that knows literally everything, a guardian angel.

    Domagoj Lalk

    CTO & Co-Founder @ Sparroww Inc.

1 million +

saved materials

17 million +

associated points of context

5 million +

copilot messages

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

See what else we offer

With hundreds of tools competing for your attention, Pieces is the OS-level AI companion redefining productivity for software development teams.

Pieces Drive

Save and manage code wherever you are, all augmented automatically by AI. Share your code with your team.

Pieces where you are

Avoid context switching, stay within your IDE, and bring your workflow to one place.

Enrich code snippets

Enrich code with AI, add descriptions and tags, track collaborators, detect and flag sensitive information.

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10x your developer productivity

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DOWNLOAD FOR FREE

10x your developer productivity

Talk to us

Get started

DOWNLOAD FOR FREE

10x your developer productivity

Talk to us

Get started

Frequently asked questions

How does Pieces compare to GitHub Copilot?

Pieces has a very different focus from GitHub Copilot. While GitHub Copilot focuses on the context of the current project you have open in your IDE, Pieces is more of a workflow assistant that focuses on all your context that you can access from all of your tools. With the Pieces Copilot, you can ask questions related to all the activities you have been working on, or any file or folder of code, or saved code snippets, and take these conversations with you as you move from tool to tool.

Many users use Pieces alongside GitHub Copilot, leveraging the code suggestions and completion features of GitHub Copilot with the Pieces Copilot. For example, you might ask Pieces to summarize a ticket using Long-Term Memory, then add project context to get code and guidance on implementation. Then, you can use the autocomplete features of GitHub Copilot to flesh out any missing code.

How does Pieces compare to GitHub Copilot?

Pieces has a very different focus from GitHub Copilot. While GitHub Copilot focuses on the context of the current project you have open in your IDE, Pieces is more of a workflow assistant that focuses on all your context that you can access from all of your tools. With the Pieces Copilot, you can ask questions related to all the activities you have been working on, or any file or folder of code, or saved code snippets, and take these conversations with you as you move from tool to tool.

Many users use Pieces alongside GitHub Copilot, leveraging the code suggestions and completion features of GitHub Copilot with the Pieces Copilot. For example, you might ask Pieces to summarize a ticket using Long-Term Memory, then add project context to get code and guidance on implementation. Then, you can use the autocomplete features of GitHub Copilot to flesh out any missing code.

How does Pieces compare to GitHub Copilot?

Pieces has a very different focus from GitHub Copilot. While GitHub Copilot focuses on the context of the current project you have open in your IDE, Pieces is more of a workflow assistant that focuses on all your context that you can access from all of your tools. With the Pieces Copilot, you can ask questions related to all the activities you have been working on, or any file or folder of code, or saved code snippets, and take these conversations with you as you move from tool to tool.

Many users use Pieces alongside GitHub Copilot, leveraging the code suggestions and completion features of GitHub Copilot with the Pieces Copilot. For example, you might ask Pieces to summarize a ticket using Long-Term Memory, then add project context to get code and guidance on implementation. Then, you can use the autocomplete features of GitHub Copilot to flesh out any missing code.

Is Pieces copilot suitable for all programming languages?

Is Pieces copilot suitable for all programming languages?

Is Pieces copilot suitable for all programming languages?

How is my code and data protected when using the copilot?

How is my code and data protected when using the copilot?

How is my code and data protected when using the copilot?

How does the copilot combine my knowledge with what the LLM knows?

How does the copilot combine my knowledge with what the LLM knows?

How does the copilot combine my knowledge with what the LLM knows?

Does the copilot support debugging and error resolution?

Does the copilot support debugging and error resolution?

Does the copilot support debugging and error resolution?

How does Pieces Copilot compare to Microsoft 365 Copilot and GitHub Copilot Business?

How does Pieces Copilot compare to Microsoft 365 Copilot and GitHub Copilot Business?

How does Pieces Copilot compare to Microsoft 365 Copilot and GitHub Copilot Business?

Can Pieces Copilot integrate with other tools?

Can Pieces Copilot integrate with other tools?

Can Pieces Copilot integrate with other tools?

How does Pieces Copilot handle code completion and suggestions?

How does Pieces Copilot handle code completion and suggestions?

How does Pieces Copilot handle code completion and suggestions?