Pieces

🎯 Our verdict

Pieces solves a fundamental problem experienced by all developers: context loss. Between dozens of tabs, Slack conversations, scattered snippets and technical meetings, finding what you’re looking for at any given moment is a daily challenge. Pieces addresses this with an approach radically different from all its competitors: a long-term memory engine at the operating system level (LTM-2) that silently and automatically records everything you do — code, research, messages, meetings — without you needing to click anything. The power of this positioning is that this is not just a snippet manager or an AI chatbot: Pieces creates a cumulative personal context queryable in natural language. You can ask “What was I debugging last Friday?” and get a precise, sourced and temporally contextualized answer. The on-device-by-default characteristic is a strong argument in a context where data sovereignty is a growing concern: nothing is sent to the cloud without explicit authorization, making it a viable solution even for teams working on sensitive projects. MCP protocol support further allows you to inject this memory into other LLMs like GitHub Copilot, Cursor or Claude, multiplying the utility of accumulated memory. The free plan is generous and covers essential needs — copilot, Pieces Drive, local memory and conversation history. The Pro plan at $18.99/month gives access to premium models (Claude Opus, Gemini 2.5) for those wanting advanced reasoning capabilities. The main limitation is that Pieces remains a developer-oriented tool, requires desktop installation, and is only available in English. For any technical profile wanting to stop losing their context and build a true persistent work memory, Pieces is today the most complete solution on the market.