Pieces – On-Device Memory Layer & AI Context Assistant | Quasa.io

#Quasa #QUA #Pieces

Pieces is an on-device memory layer for people who lose context across tabs, chats, and meetings. It sits in the background as PiecesOS, snapshots what you see and copy, and turns that history into a searchable timeline. Ask by time, person, topic, or tool, then pull a standup, a morning brief, or a meeting recap in one click. Long-term memory stays on the machine by default. You can pause capture, block apps, and delete by time, source, or method. Opt-in audio adds Zoom, Meet, and Teams. An MCP server carries that history into Claude, Cursor, Codex, and other MCP clients. Pro is about $18.99 a month and adds premium models plus the full memory layer. Enterprise is about $22.99 and adds org controls and your own API keys.

𝐂𝗢𝗥𝗘 𝗦𝗧𝗥𝗘𝗡𝗚𝗧𝗛𝗦
• Memory across the apps you already use, not another notes app
• On-device storage with pause, block, and delete controls
• One-click briefs from real work, not a blank prompt
• Model switching under one plan
• MCP so context follows you into coding agents  

𝗜𝗗𝗘𝗔𝗟 𝗙𝗢𝗥
Developers, researchers, and operators who jump between IDE, browser, Slack, and calls and keep re-finding the same thread.

𝗛𝗜𝗚𝗛𝗟𝗜𝗚𝗛𝗧𝗦
• Capture from the focused app and the clipboard, about every few seconds
• Sources include Chrome, Slack, Notion, Figma, VS Code, JetBrains, and Cursor
• Snippet save, enrich, and transform still sit in the product
• Team story: personal memory can become shared context
• Privacy controls are part of the pitch, not a footnote  

𝗣𝗢𝗧𝗘𝗡𝗧𝗜𝗔𝗟 𝗖𝗢𝗡𝗦𝗜𝗗𝗘𝗥𝗔𝗧𝗜𝗢𝗡𝗦
• Background capture is a real trust decision, even when local
• Audio is opt-in, but screen memory is on by default
• Pro is the useful tier; confirm the live free limit on the pricing page
• MCP quality depends on the client you plug in
• A fluent recap can still miss a decision that never hit the screen  

𝗢𝗩𝗘𝗥𝗔𝗟𝗟 𝗩𝗘𝗥𝗗𝗜𝗖𝗧
4.3/5 stars. Use Pieces as a recall layer, not as a second brain you never check. It pays off when the brief matches what you actually did that morning. Earn 1 QUA reward by reviewing on Quasa.io too!

𝗚𝗘𝗧 𝗦𝗧𝗔𝗥𝗧𝗘𝗗: https://quasa.io/projects/pieces