Floatboat DeepSeek Agent: scheduled research digests saved straight to your folders

Floatboat DeepSeek Agent is an independent desktop AI workspace built around the DeepSeek model. Instead of answering in a chat window and leaving the rest to you, it gives the model access to your local files, a browser, connected tools and recurring workflows, and it saves finished work directly into your own folders.

The app is meant for people who already use DeepSeek for research, writing or analysis and want the results to end up as real deliverables: reports, cleaned spreadsheets, drafted documents or collected web data. You give it a clear brief, it carries the task across files, the browser and connected tools in one run, and you come back to the result instead of copying text between windows.

Key capabilities include browser tasks, scheduled automation that prepares work and runs on a timetable, reusable workflows built from nearly one hundred building blocks, portable project memory that keeps preferences across sessions, and multimodal input covering text, images and audio. Every scheduled run opens its own chat, so you can reopen it, review the output and revise it before anything is final.

Typical uses are recurring research digests, document drafting from local material, browser data collection and multi-step office chores that would otherwise need constant supervision. It runs on the desktop, and a one-dollar trial is offered on the website. It is an independent product and is not official DeepSeek software.

A good first project is a weekly research digest. You describe the sources to check and the format you want, schedule it to run every Monday morning, and the agent collects the material in the browser, writes the summary and saves the document into the folder you chose. When the run finishes, you open its chat, read what it did, ask for changes and approve the final version. The same pattern works for tidying a folder of spreadsheets, turning meeting notes into a report or drafting replies from local reference files. Because project memory carries over between sessions, the agent remembers your formatting preferences and the folders you use, so later runs need shorter instructions and fewer corrections.