Dexto Cloud
Durable agent work, connected tools, and reviewable outcomes.Dexto Cloud is the platform for agent work. It brings durable agent coordination, on-demand execution, model access, connected tools, and reviewable outputs into one control plane.
Build an AutoBot for a repeatable workflow, run an agent in the Dexto app, or integrate the same cloud through an API or MCP client. The underlying work stays connected to the context, permissions, and evidence your team needs to review it.
Dexto Cloud at a glance
Section titled “Dexto Cloud at a glance”| Layer | What it gives you | Start here |
|---|---|---|
| Durable agent runtime | Long-running work with a durable record of sessions, runs, approvals, and outputs | Agent primitives |
| On-demand services | LLMs, image, video, voice, cloud computers, and managed connections | Services |
| Team control | Projects, artifacts, approval requests, and reviewable context | Projects |
| Open interfaces | OAuth-connected workspace access for compatible AI clients | MCP |
Build a software factory without hiding the work
Section titled “Build a software factory without hiding the work”Agent configuration, conversations, run history, approvals, and saved artifacts belong to the hosted Dexto Cloud control plane. Cloud execution coordinates work, waits, and retries while preserving its durable record.
That means a useful result is more than a model response: it has a clear task, the right sources and tools, visible progress, and a place for a person to decide what happens next.
Read the agent primitives for the service-by-service view, including the boundaries between durable product state, execution workspaces, and connected systems.
Choose the interface that fits your team
Section titled “Choose the interface that fits your team”| If you want to… | Use… |
|---|---|
| Give a team an agent workspace today | The Dexto app |
| Add model inference to an existing product | The OpenAI-compatible gateway |
| Let an AI client work with your Dexto workspace | Dexto MCP |
| Start from a ready-made workflow or integration | The Discover catalog |
A controlled path to autonomy
Section titled “A controlled path to autonomy”Start with one workflow and a named reviewer. Define its input, expected output, allowed systems, and the evidence that makes it ready to approve. Then expand scope only after you understand its usage and failure modes.