Pieces for Developers

Pieces is a genuinely innovative tool for developers who hate context switching and manual note-taking. Its long-term memory captures everything you do on your machine—code, browser tabs, chat messages—and makes it searchable via natural language. The MCP integration (announced April 2025) is a standout feature: it lets you hook Pieces' memory into other AI tools like GitHub Copilot, Cursor, and Claude, giving them full context of your work history. Strengths: The free tier is very generous—9 months of context with no major feature gating. On-device processing means your data stays private by default, and you can opt into cloud sync only if you want. The snippet management with AI enrichment (auto-tagging, sensitive info detection) is handy for sharing code with teammates. Weaknesses: The plugin ecosystem is still limited to a handful of IDEs and browsers (VS Code, JetBrains, Chrome). There's no mobile app, so you can't access your memory on the go. Team pricing requires contacting sales, which might deter small teams from evaluating. The Copilot itself is decent but not best-in-class—its answers rely heavily on the context Pieces provides, so if you need a standalone AI coding assistant, you might prefer GitHub Copilot or Cursor. Where it fits: Solo developers, freelancers, small teams working on multiple projects. Anyone who often finds themselves thinking 'I know I solved this before, but where did I put that snippet?' Where it doesn't: Large enterprises needing on-premise deployment (cloud optional but not fully self-hosted), teams requiring real-time collaborative editing, non-developer roles (Pieces is squarely targeted at developers).

Pieces is an OS-level AI tool that automatically captures your work across apps—code, docs, chats, images—and stores it as searchable memories with full context. It offers a Copilot that knows your history, a snippet manager with AI enrichment, and MCP integration for connecting personal context to LLMs like Claude, Copilot, and Cursor. Designed for developers who want to avoid context switching and reuse past work without manual saving. Runs locally by default for privacy and speed. The free tier gives 9 months of context memory; the Pro tier ($18.99/month) adds premium LLMs like Claude 4 Sonnet and Gemini 2.5. Teams pricing is available by contacting sales. Features include LTM-2 long-term memory engine, automatic memory capture, on-device AI, cross-IDE support, Chrome extension, and snippet transformation.