Trooper is an AI workforce platform for end-to-end work. Agents collaborate, operate browsers and desktops, control connected computers, run coding agents and CLIs, and execute long-running workflows with approvals, memory, and full task tracing.Trooper is an AI workforce platform built for end-to-end execution. Instead of stopping after generating advice or a draft, Trooper’s agents can operate the software required to complete work. They can collaborate with one another, use browsers and virtual desktops, control connected computers, run coding agents and command-line tools, and move across the applications involved in a real business workflow.
Teams can give Trooper outcomes rather than isolated prompts. Agents break work into steps, keep context across the task, and continue through long-running workflows while preserving a clear record of what happened. Approval checkpoints let people stay in control when a task reaches a consequential decision or needs a sign-off. Persistent memory helps agents retain useful context, while full task tracing makes their actions understandable and reviewable.
This makes Trooper useful for work that spans coding, support, sales, operations, research, and other tool-heavy processes. An agent can gather information in a browser, work inside a desktop application, use a CLI or coding environment, coordinate with another agent, and return when human judgment is required. Trooper is designed around the idea that AI employees should be able to use the same digital workspace as their teammates.
The result is an AI workforce that goes beyond chat. Trooper combines practical computer use, multi-agent collaboration, controlled automation, approvals, memory, and observability so organizations can delegate meaningful work without giving up oversight.
