Introducing OpenWorkspace®

Part II : Automating the Desktop
Introducing OpenWorkspace® :Part II : Automating the Desktop
OVERVIEW contents
  1. Today’s desktop operating systems rely on users to manage information manually—recalling, locating, and retrieving windows and tabs through memory, eye scanning, and input devices.Recalling and locating windows and tabs required for a given task or topic requires human memory, and fetching everything by hand involves intensive eye scanning and use of the mouse and keyboard.
  2. This has always been the case. Window and tab management has never been automated, leaving users to handle it themselves.
  3. With the digital transformation of the 2010s, information volume skyrocketed, dramatically increasing the burden of managing windows, tabs, and apps. Compared to 2000, users now interact with 120 times more websites, 50 times more web apps, and 10 times more desktop apps.
  4. By 2018, some users were already spending a third of their workday just retrieving information.  Today, most knowledge workers have reached that point.
  5. The cost of time and cognitive effort has led to one of the most pressing yet unsolved challenges of modern work, in ‘tab hoarding’.
  6. Keeping every window and tab open clutters the desktop, making it harder to find the right information and increasing cognitive load. The manual nature of managing them turns “getting to work” into an unnecessary effort.
  7. OpenWorkspace® automates the desktop by letting users restore pre-configured window and tab layouts (“workspaces”) instantly with a single click or keystroke.
  8. Designed for knowledge workers, creatives, and students, OpenWorkspace® provides a user interface framework to organize tasks and web activities into easily browsable, searchable, and navigable workspaces. Instead of switching between individual windows and tabs, users shift between full workspaces, dramatically reducing the time and effort spent on scanning, clicking, and reorienting.
  9. By offloading window and tab management, OpenWorkspace® frees up mental energy and streamlines workflows—solving the growing information management challenge beyond just tab hoarding.
  10. Upgrade your Windows system today by downloading OpenWorkspace® for PC , or reserve access to OpenWorkspace® for macOS by joining its waitlist.  

The Tab Hoarding Problem, Explained.

Discover the anatomy of today’s unsolved tab hoarding problem.

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In 2021, a team of researchers from Carnegie Melon University (CMU) dove deep into the role that browser tabs play in our day-to-day work.  Their research was significant in that it identified a root cause of one of today’s most burning problems at the desktop, in tab hoarding.  They called the phenomenon the ‘black hole effect’, likening it to a vast digital universe where every open browser tab is a tiny star, each representing a piece of information, a task to complete, or a reminder of things to come. As users navigate this universe, they find themselves surrounded by an ever-increasing number of these stars, reluctant to let any of them fade away.

The CMU team’s research uncovered competing pressures in tab management: the fear of losing information versus the need to declutter. While closing tabs frees up space, it risks plunging valuable insights into a digital black hole, making them difficult to retrieve. Even bookmarks and archived tabs often become forgotten constellations—out of sight, out of mind.

But tab hoarding wasn’t just about keeping information accessible—it was about preserving progress and avoiding the mental burden of retracing steps. Each open tab represented unfinished business, a task in limbo, or a potential missed opportunity.

To address this, the CMU team proposed intelligent archiving, activity-based tab grouping, and even futuristic tech that could automatically resurface relevant tabs. Yet, such automation remained beyond today’s desktop capabilities.

The ‘black hole effect’ highlights how web browsing has outpaced the tools used to manage it, turning the once-simple browser into a cognitive and productivity burden—popularly known as tab overload.

While CMU’s research shed light on the psychology behind tab hoarding, it left a crucial question unanswered:

What role does technology play in the tab hoarding problem?

The Classic, Manual Desktop

Understand today's cost of information management at the desktop.

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Operating the desktop is entirely manual today—users must recall and retrieve the necessary tabs, chats, and files before they can even begin their work. This process has remained unchanged since Xerox PARC introduced the GUI in 1973. While PARC revolutionized computing with the mouse, hypertext, and networking, the desktop itself was never automated—no equivalent of a “George Jetson” snap to arrange digital workspaces.

Unlike automobiles, which advanced from manual to automatic transmission and later to autonomous driving, the desktop still runs on “manual transmission.” Yet, we spend far more time at our computers than in our cars, with digital work contributing to at least a third of the world’s GDP.

Managing digital information in human memory has severe consequences, yet we accept it as a necessary burden. Research shows that knowledge workers who spend six or more hours a day on their computers switch between tabs and windows 1,300 times daily, consuming up to a third of the workday—on an entirely unproductive task.

The Cost of Getting to Work

The thinking and heavy lifting required, and the time spent on it all.

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Throughout the workday, we constantly build mental models of the information needed for upcoming tasks. Before starting any work, we first determine what we need and where to find it—whether responding to an email, preparing for a call, or shifting to a new task.

This process can be broken into two actions:

  • Thinking – Identifying the necessary information, recalling its source, and mentally organizing it as a cohesive unit.
  • Doing – Finding and retrieving the required windows and tabs, scanning open ones, and fetching others via search, mouse, and keyboard.

Both thinking and doing rely on limited cognitive resources that must be repeatedly drawn upon throughout the day. Work can only begin once users mentally construct and manually assemble the information landscape on their desktop.

These insights form the central philosophy behind OpenWorkspace®: Insights and research into How we think on the desktop expressed here and in future posts are rooted in foundational cognitive research, including the Information Processing Model (Atkinson & Shiffrin, 1968), the Working Memory Model (Baddeley & Hitch, 1974), and Dual Coding Theory (Paivio, 1986), with measures of what we do on the desktop established by models like the GOMS (Goals, Operators, Methods, and Selection) and the Keystroke-Level Model (KLM). These frameworks explain the cognitive and physical steps users take to complete tasks.

The Information Processing Model suggests that as we go about our day, we momentarily process stimuli—deciding whether to discard them or give them attention.

On the desktop, this plays out when we see a calendar event or hear a reminder. Within seconds, we either dismiss it or transfer it to working memory for further action. If the call requires no preparation, the reminder is ignored until it resurfaces. If preparation is needed, working memory constructs a mental model—perhaps visualizing the attendee’s LinkedIn profile to recall relevant details.

In working memory, the user actively builds this mental model by retrieving related information from long-term memory, refining it until a complete picture emerges. This process continues until the desktop reflects the task at hand—mentally and literally.

Once the call is complete, working memory encodes the updated mental model for future retrieval. Only then can it be discarded, freeing up cognitive resources for the next task.

The Memex that Never Was (And What We Got Instead)

How today's desktop falls short of realizing an early vision of the peak desktop experience®.

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In 1945—decades before personal computers—American engineer and visionary Vannevar Bush envisioned the Memex, a theoretical device resembling a desk but embedded with the core elements of modern computing: storage, memory, CPU, and display.

Designed as a personal knowledge system, it aimed to mimic human memory, allowing users to store, retrieve, and navigate information through associative links—a precursor to modern hashtags and hyperlinking.

Upon receiving input (e.g., “bow & arrow”), the Memex would surface related information across multiple displays, providing a holistic view of a topic. Users could then navigate, edit, and expand these collections using mechanical controls. Once refined, the collection—or “trail of information,” as Bush called it—could be saved and shared via microfilm, allowing seamless knowledge transfer between users.

 

While the Memex never became reality, it profoundly influenced personal computing, shaping file systems, processors, storage, and displays. However, its original goal—augmenting human information management—remains largely unfulfilled.

 

The Unmet Potential of Desktop Operating Systems

Despite technological advances, modern operating systems fail to replicate Bush’s associative approach to information management. Instead, they impose constraints that increase cognitive load and manual effort:

  • Hierarchical File Systems – Information is rigidly stored in folders within directories, rather than through associative links. This fragmented structure forces users to constantly switch between windows, tabs, and applications, disrupting workflow continuity.
  • Isolated Search Mechanisms – Search tools retrieve single resources (files, apps, or tabs) one at a time, requiring users to manually assemble relevant materials—unlike the Memex, which surfaced contextual collections automatically.
  • Limited Associative Linking – While hyperlinks exist within documents and web pages, the operating system itself lacks native cross-referencing capabilities. Users must manually string together related information across apps using tab groups and side-navigation, rather than effortlessly building interconnected “trails” of knowledge as Bush envisioned.

 

The Challenge Ahead

Modern computing excels at storing and retrieving information, but it still lacks intelligent organization and contextual recall—forcing users to manually reconstruct their digital workspace over and over. The Memex’s vision of seamless, associative information management remains unrealized, leaving today’s knowledge workers burdened by fragmented, application-centric workflows.

A System-Level Approach to Information Management

Integrating the application ecosystem, directly on the desktop.

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Existing solutions tackle this problem within the application layer, where web apps integrate with one another to surface related content in a single-window interface. For instance, project management tools connect with document apps, while chat platforms integrate with file storage, payroll, or enterprise resource planning systems. These integrations streamline workflows—but only within their respective ecosystems.

OpenWorkspace® takes a broader approach, operating at the system level to unify information across applications and beyond the browser. Instead of relying on fragmented app-to-app connections, it allows users to assemble and reopen entire collections of relevant information—from multiple sources—instantly, much like opening a single file.

The Modern, Automatic Desktop

How OpenWorkspace® frees up the user's time, energy, and cognition by offloading window and tab management onto the system.

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OpenWorkspace® automates the operating system’s desktop by adding two powerful functions:

  • SAVE Workspace – Allows users to configure and save desktop layouts for specific tasks, topics, projects, clients, or meetings.
  • OPEN Workspace – Instantly restores a saved workspace with a single click or keystroke, eliminating the manual effort of mentally recalling, retrieving and rearranging information—a process that would otherwise take minutes every time a user switches contexts.

By automating desktop organization, OpenWorkspace® reduces the time and cognitive effort spent fetching information. Over an 8-hour workday, this can save users anywhere from 30 minutes to several hours, depending on how fragmented their workflows are.

OpenWorkspace®: A Modern-Day Memex

Conceptually, OpenWorkspace® realizes the core vision of the Memex, eliminating both the cognitive burden of managing information and the manual effort of arranging it on the desktop.

Functionally, it stores collections of tabs and windows as a file that, when opened later, restores the entire workspace instantly, including window sizes and positions. Like traditional files, workspaces can be:

  • Stored locally, on shared drives, or distributed among teams, colleagues, or friends.
  • Named, updated, tagged, and re-labeled for easy organization.

By bridging associative information retrieval with automated window management, OpenWorkspace® finally delivers on the Memex’s promise—transforming the desktop into a seamless, intuitive knowledge system.

OpenWorkspace® Compatibility

The freedom to pursue the peak desktop experience on your own terms.

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OpenWorkspace® brings next-level automation to your desktop without requiring a shift in how you work—just a faster, smarter way to manage information.  By enhancing your operating system without altering its core user experience, OpenWorkspace® allows you to work exactly as you do today—just more efficiently.

Compatible today with Windows 10 and Windows 11 across a range of devices, from entry-level PCs with 3- and 5-series CPUs to high-end 7- and 9-series workstations (and tomorrow, on Mac),

Minimum Hardware Requirements

  • OS: Microsoft Windows 10 or 11 (64-bit)
  • CPU: Intel 8th Gen (i3/i5/i7/i9-7xxx), Core M3-7xxx, Xeon E3/E5, AMD 8th Gen (A Series Ax-9xxx, E-Series Ex-9xxx, FX-9xxx), or ARM64 (Snapdragon SDM850 or later) or higher.
  • RAM: 8 GB or more
  • GPU: DirectX 9 or later
  • Available Disk Space: 5GB or more

 

Recommended Hardware Requirements (for optimal performance)

OpenWorkspace® loads workspaces in real-time, with performance commensurate with your computer’s amount of RAM and CPU count.  Systems with more memory and faster processors will experience faster load times and better windowing performance, while lower-spec machines may see short delays in the time taken to load a workspace or the synchronization of audio and visual windowing feedback.

Just as a webpage may load more slowly on a lower-end system (e.g., an Intel i3 with 4GB RAM), OpenWorkspace’s performance may vary depending on your system’s resources.  For the best experience, we recommend the following:

  • CPU: 7 series or higher
  • RAM: 16GB or more
  • Available Disk Space: 20GB or more

 

Performance Benchmarks

  • High-performance systems (7-series CPUs and above with 32GB RAM or more):  Workspaces typically load in 1-3 seconds.
  • Mid-range systems  (5-series and 7-series CPUs with 16GB-32GB RAM): Workspaces typically load in 2-5 seconds.
  • Entry-level systems (3-series CPUs with 4GB-8GB RAM): Workspaces typically load in 4 seconds or more.

 

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