Pieces is an AI-powered developer productivity tool that acts as a persistent second brain for your entire workflow. It captures and indexes your activity across IDEs, browsers, terminals, and collaboration tools for up to 9 months, making everything instantly searchable. With a built-in AI copilot, snippet management, and integrations for VS Code, JetBrains, Chrome, and more, Pieces helps you recall past work, reuse code, and get context-aware AI assistance. All processing runs locally on your device by default, keeping your data private and secure.

• Long-Term Memory (LTM-2): Automatically captures your work activity across desktop apps, IDEs, browsers, and terminals over a rolling 9-month window. Ask time-based questions like "What was I working on yesterday?" and get precise answers.
• Pieces Copilot: An AI assistant grounded in your personal workflow context. It draws from your captured memory and supports 50+ LLMs, including local models, to give you answers specific to your projects.
• Pieces Drive (Snippet Management): Save code snippets from anywhere and get automatic AI-generated tags, descriptions, and language detection. Transform, refactor, or translate snippets between languages on the fly.
• On-Device Processing: Runs entirely on your machine by default. Sensitive data like API keys and PII can be filtered, and long-term memory can be disabled per app or for set periods.
• Deep IDE & Tool Integrations: Pieces integrates across operating systems and common developer tools (VS Code, JetBrains, browsers, etc.) so memory capture spans your full workflow.
• Workstream Activity View: A visual timeline of your workflow summaries in 20-minute blocks. Review what you worked on, share activity summaries with teammates, or add context to AI conversations.
• Code Sharing & Collaboration: You can share saved content and workflow summaries with others, including options like shareable links or GitHub Gists.
• OCR Code Extraction: Convert screenshots of code from tutorials or documentation into editable, copyable snippets using built-in optical character recognition.

• Generous Free Tier: The free plan includes the AI copilot, snippet management, local LLM access, IDE integrations, and unlimited conversations with no account required.
• Works Fully Offline: Everything runs locally on your device. You can use Pieces without an internet connection or user account, which is rare for AI developer tools.
• Strong Cross-Platform Integrations: Native support for VS Code, JetBrains, Chrome, Obsidian, and MCP compatibility with tools like GitHub Copilot, Cursor, and Claude.
• Privacy-First Architecture: Built from the ground up for on-device processing. Your workflow data stays on your machine unless you explicitly choose a cloud LLM.
• Unique Long-Term Memory: No other tool offers 9 months of automatic workflow recall across your entire desktop environment. Users consistently cite this as the standout feature.
• Active Development Team: Frequent updates and a responsive team that acts on community feedback, with support across Windows, macOS, and Linux.

• High Resource Consumption: On-device AI processing and long-term memory capture can be CPU and memory intensive, especially on older machines or during heavy workloads.
• Learning Curve: The breadth of features, from LTM to snippet management to MCP support, takes time to fully adopt and configure for your specific workflow.
• Streaming UX Needs Polish: During AI response generation, auto-scrolling and letter-by-letter streaming can make it hard to read content until generation completes.
• Limited Without Local Resources: Getting the most out of Pieces requires a machine with enough CPU and RAM to handle local model inference, which may not suit lightweight setups.

• Recalling Past Work for Standups: You participated in a sprint last week but can't remember every ticket you touched. Ask Pieces "What did I work on last Thursday?" and get a detailed summary with links to code, documents, and conversations, ready to paste into your standup update.
• Reusing Code Across Projects: You wrote a useful utility function months ago but can't remember which repo it lives in. Search your Pieces Drive to find the snippet instantly, complete with auto-generated descriptions and tags, and drop it into your current project.
• Onboarding to a New Codebase: You just joined a team and need to understand how a service works. Pieces captures context as you browse documentation, read code, and review PRs, then lets you query that accumulated knowledge through the copilot.
• Sharing Context with Teammates: A colleague asks how you solved a tricky bug. Instead of digging through Slack history, generate a Workstream Activity summary or share the relevant snippet as a GitHub Gist directly from Pieces.
• Extracting Code from Visual Resources: You find a helpful code example in a video tutorial or screenshot. Use Pieces' OCR to extract the code into an editable snippet without retyping it manually.
• Switching Between Tasks Without Losing Context: You're deep in a debugging session when an urgent request pulls you away. When you return hours later, Pieces remembers exactly what you were looking at, which files were open, and what you'd already tried.