Review of Pieces

Pieces solves a fundamental problem every developer faces: context loss. Between dozens of tabs, Slack conversations, scattered snippets, and technical meetings, finding what you need at a precise moment is a daily challenge. Pieces addresses this with an approach radically different from all competitors: an OS-level long-term memory engine (LTM-2) that silently and automatically records everything you do — code, research, messages, meetings — without requiring any clicks. The power of this positioning is that it's not a simple snippet manager or an AI chatbot: Pieces creates a cumulative personal context that is queryable in natural language. You can ask "What was I debugging last Friday?" and get a precise, sourced, temporally contextualized answer. The on-device by default nature is a significant selling point in a context where data sovereignty is a growing concern: nothing is sent to the cloud without explicit permission, making it a viable solution even for teams working on sensitive projects. MCP support also allows injecting this memory into other LLMs like GitHub Copilot, Cursor, or Claude, multiplying the usefulness of accumulated memory. The free plan is generous and covers the essentials — copilot, Pieces Drive, local memory, and conversation history. The Pro plan at $18.99/month provides access to premium models (Claude Opus, Gemini 2.5) for those wanting advanced reasoning capabilities. The main limitation is that Pieces remains a developer-focused tool, requires a desktop installation, and is only available in English. For any technical profile looking to stop losing context and build a truly persistent working memory, Pieces is today the most complete solution on the market.