One workbench, beyond one machine
OPL Cloud is the cloud platform being developed for One Person Lab. It connects online workspaces, AI access, private data, remote computing, collaboration, and Agent services around the same research or professional project.
Work can begin with local materials in OPL App, continue in a browser-accessible OPL Workspace, and draw on approved data and computing resources. Materials, outputs, review, and the next step stay connected as the work moves between environments.
A connected cloud platform
Six cooperating surfaces support the work:
| Surface | User-facing role |
|---|---|
| OPL Workspace | A continuous online workbench for projects, materials, tasks, artifacts, and review. |
| OPL Gateway | Stable AI access, routing, and understandable usage signals. |
| OPL Console | Workspace, access, policy, approval, quota, and cost visibility. |
| OPL Fabric | Governed connections to compute, storage, environments, data, and external tools. |
| OPL Ledger | Inspectable links between plans, approvals, inputs, environments, outputs, and reviews. |
| OPL Serve | A path for offering mature Agent capabilities through APIs, embedded experiences, or hosted interfaces. |
An account can organize different projects in independent Workspaces, each with its own application, resources, access, and usage. The workbench brings these choices together so users can focus on the project and understand what it uses.
Designed for private data and real organizations
OPL Cloud assumes that valuable data and computing resources often already have an owner. Hospital data may need to remain inside an institutional boundary; a lab cluster may have its own access and cost policy; a collaborator may need to review a result without gaining broad infrastructure access.
OPL Cloud is designed to connect those existing resources through clear access and execution plans. Teams can decide which inputs a task needs, where it runs, what it costs, and where its results return. Shared review keeps collaborators involved while professional decisions remain with the responsible experts.
From Agent capability to a usable service
OPL Serve gives Agent developers a route from a specialist capability to an application others can use. An exact Agent revision can be offered through an API, an embedded experience, or a hosted interface, with access, usage, resources, and execution feedback managed by the surrounding platform.
Developers can concentrate on their Agent’s methods and quality, while OPL Cloud supplies the common service experience. Research teams gain a path to share mature capabilities beyond the original project.
Explore the design
Read the OPL Cloud Whitepaper for the product vision and design. The project repository provides documentation and setup guidance. Explore One Person Lab App for the local workbench and AI Systems & Open Software for the wider OPL ecosystem.