Pieces

What is Pieces?

Pieces is an OS-level memory tool for developers that automatically captures and organizes your work across applications. It functions like a second brain, remembering code snippets, documentation, conversations, and other digital content without disrupting your workflow.

Top Features:

• OS-level memory engine: automatically captures important content while you work without interruptions.
• Context preservation: maintains connections between saved items so you can easily resume where you left off.
• Local-first architecture: runs directly on your device for speed and privacy with cloud options available.
• LLM integration: connects your personal context with AI tools like GitHub Copilot and Claude.
• Natural search: find exactly what you need using time-based queries and conversational language.

Use Cases:

• Research: automatically captures links, highlights, and keywords without manual bookmarking.
• Development: preserves code snippets with their context for easy reference later.
• Meetings: quietly records shared information, conversations, and resources during discussions.
• Deep work sessions: maintains your flow while creating a record of your process and resources.
• Team collaboration: captures shared context across various tools and team members.

Who Can Use Pieces?

• Software developers: professional coders who need to track snippets and documentation across projects.
• Technical researchers: professionals gathering and connecting information from multiple sources.
• Development teams: groups needing to preserve context across shared work and communications.
• Technical writers: content creators who reference multiple resources while producing documentation.

Pricing

• Individual (Free): Track work across tools, 9 months context, basic Copilot, email support.
• Teams (Contact for pricing): Shared memory across teams, 9 months team context, BYO LLMs, priority support.

Pros and Cons

Pros:

• Passive capture: works in the background without requiring manual saving or organization.
• Privacy-focused: local-first approach keeps data on your device by default.
• Cross-application: works across your entire toolkit from browsers to IDEs.
• Time-based retrieval: find information based on when you encountered it.

Cons:

• Developer-focused: might be overpowered for non-technical users with simpler needs.
• Learning curve: understanding the full capability requires time investment.
• Resource usage: OS-level tools can consume system resources in the background.

FAQs:

1) Is Pieces secure for handling sensitive code?

Yes, Pieces runs locally on your device by default, with nothing sent to the cloud unless you specifically enable those features.

2) How far back can Pieces remember my work?

Pieces maintains up to 9 months of memories that you can search through using time-based queries.

3) Do I need to manually save things to Pieces?

No, Pieces automatically captures relevant content as you work, without requiring manual bookmarking or saving.

4) Can Pieces work with my existing AI tools?

Yes, it integrates with tools like GitHub Copilot, Claude, and Cursor through its Memory Context Protocol.

5) What applications does Pieces integrate with?

Pieces offers plugins for popular tools including Chrome browser and VS Code, capturing context across your workflow.