Pieces

Pieces solves a problem most productivity tools ignore: the context of your work is scattered across dozens of apps and disappears the moment you move on. It runs in the background on your computer and forms a searchable memory from what already happened — the pages you read, the threads you replied to, the notes you drafted, the meetings you sat through. That memory becomes a timeline you can search by time, topic, person or tool.

On top of that history sits a question-and-answer layer. You can ask anything about your own work, then narrow the scope by date, source or subject to recover a decision, recall the article you read three days ago, or trace a research trail back to where it started. One-click summaries turn hours of retracing into instant standup updates, morning briefs, meeting prep and day recaps, all generated from genuine context rather than guesswork.

Pieces also acts as a bridge between your history and the AI tools you already use. The Pieces MCP Server exposes your full memory to MCP-ready assistants such as Claude, Cursor, Codex and Antigravity, so your real context travels with you instead of being re-explained every session. Privacy is treated as a foundation: memories are stored on-device by default, capture can be paused or restricted per app and website, and enterprise teams get organization-wide policies, approved providers and bring-your-own API keys.