About ZeroSphere.

AI needs an execution environment.

The Tradeoff

Today's computer use agents force an architectural tradeoff.

Run an agent directly on your desktop and it inherits your active session, notifications, permissions, and workflow.

Move it into a VM or cloud sandbox and it becomes isolated, but loses the local applications, files, and environment that make computer use valuable.

"We don't believe AI should force that choice."

ZeroSphere gives every AI agent its own isolated virtual display on the same machine.

The agent sees the same files, the same installed applications, and the same environment while remaining completely separate from your active desktop.

You continue working.

The agent continues working.

Watch every action live. Jump into the session whenever you want. Replay the complete execution afterward.

Run one agent or hundreds, each inside its own isolated display.

This isn't another coding assistant. It's an execution environment.

Why We Built It

We didn't start by asking how to build a better editor. We asked a different question.

"Where should autonomous AI actually work?"

While exploring existing coding and computer use tools, we kept running into the same architectural limitation.

Agents either shared the user's desktop or they lost the environment they were supposed to operate.

That tradeoff didn't feel inevitable. It felt like an infrastructure problem. ZeroSphere was built to remove that limitation. Everything else follows from that decision:

Isolated execution
Application level permissions
Visual observability
Interactive takeover
Session replay
Persistent execution

Beyond Code Generation

Generating code is only a small part of building software.

Applications still need to be launched. Interfaces still need to be exercised. Failures still need to be observed. Fixes still need to be validated.

That execution loop consumes a significant portion of software development, yet it's still where AI hands the work back to people.

We believe AI should be able to complete that loop itself.

Write. Launch. Observe. Fix. Validate. Repeat.

Until the task is actually finished.

Why We Started with Software Development

If our long term vision is autonomous AI that can perform computer based work, why start with software development?

Because we believe it's one of the most demanding computer workflows that exists.

Building software isn't just writing code. It's launching applications. Understanding graphical interfaces. Compiling projects. Debugging failures. Validating behavior. Recovering from unexpected errors. Repeating that execution loop until the software actually works.

If AI can reliably operate in that environment, it develops capabilities that extend far beyond programming.

"We think of modern foundation models as the brain. ZeroSphere is building the hands."

An environment where AI can observe, interact, remember, execute, and continuously improve while operating real software.

Software development is where we're starting. Not because it's the limit of our vision. Because it's the hardest place to prove it.

Our Mission

We believe software is entering a fundamental transition.

For decades, computers have been tools operated by humans. We believe the next generation of computers will increasingly be operated by AI.

Not through APIs alone. Not through scripts. But by interacting with software the same way people do.

Launching applications. Understanding graphical interfaces. Using desktop software. Learning from previous work. Making decisions. Completing tasks from beginning to end.

Our mission is to build the execution infrastructure where autonomous AI can reliably perform computer based work. That means:

  • Persistent environments instead of disposable sessions.
  • Long term memory instead of isolated conversations.
  • Continuous execution instead of one shot prompts.
  • Systems that improve over time instead of starting from zero every time.

We believe that anything a person can accomplish through a computer can eventually be accomplished by AI. The models will continue getting smarter; our job is to build the environment where they can reliably execute real work.

That's the future we're building.

If You Want to Talk