Imagine explaining a task to a colleague, and an hour later, they ask you the exact same thing as if you were speaking for the first time. Annoying, right? This is precisely the problem Anthropic developers are solving by equipping their AI assistant, Claude, with long-term memory. Claude will now remember what you've told it about projects, preferences, and other details, even if you switch between chats or start a new session. Previously, users had to re-explain the context every time they returned to a task or started a new dialogue. This was not only irritating but also wasted precious time, reducing the efficiency of working with AI. Now, thanks to shared memory connecting chat history with the Cowork workspace, Claude can better understand your requests and provide more relevant answers, drawing on all previous information. This is not just a cosmetic improvement. An AI's ability to remember and use context in the long term is a key step towards creating more useful and intuitive tools. Claude ceases to be just a chatbot that answers immediate questions and transforms into a true assistant that is genuinely "in the loop" on your tasks. It becomes a more reliable partner for those working on complex, multi-stage projects where constantly reminding the AI of the context would be tedious and inefficient. Now you can focus on the essence of the task, rather than maintaining a dialogue with the AI.