Agent runtime
Runs AI agents cloud-to-edge with strict sandboxing and ACL enforcement so each agent stays within its own scope.
SmythOS is an enterprise AI agent infrastructure platform for building, running, and deploying autonomous agents. It combines a runtime, SDK, visual workflow tools, and services for engineering teams working across cloud, on-prem, edge, and container environments.
SmythOS is an enterprise AI agent infrastructure platform built around an agent operating system model. The site describes it as open source and focused on helping engineering teams build, run, and scale autonomous agents across the AI lifecycle.
Its core offering combines an agent runtime, SDK, visual studio, and services layer. The platform emphasizes secure execution, orchestration, governance, and deployment across cloud, on-prem, edge, desktop, mobile, and container environments.
Runs AI agents cloud-to-edge with strict sandboxing and ACL enforcement so each agent stays within its own scope.
Lets developers build agents with pure code, workflows, or visual workflow skills, and is described as optimized for Cursor and Windsurf.
Provides drag-and-drop visual workflows, Agent Weaver for text and images, and one-click deployment to supported targets.
Offers done-for-you or guided deployment support, including training and long-term support for production rollout.
Supports multiple deployment shapes, including a free Docker image, hosted SaaS, on-prem, OEM, and enterprise cloud options.
Centers the product around an agent operating system model with orchestration, governance, and shared connector infrastructure.
Use the runtime and control-plane model when building autonomous agents that need long-lived execution, isolation, retries, and governance in production.
Use the SDK when developers want to create agents directly in code while still working within a broader production stack.
Use the visual studio when teams prefer drag-and-drop workflow design, testing, and one-click deployment to supported targets.
Use the deployment options when the same agent system needs to run in hosted SaaS, on-prem environments, edge devices, or containers.
Use the services offering when a team wants help with deployment, training, or long-term support for rolling agents into production.
SmythOS is presented as an enterprise AI agent infrastructure platform with open source components, including an Agent Runtime, Agent SDK, Agent Visual Studio, and Agent Services. The site positions it for teams that need to build, run, and deploy autonomous agents.
The source text says the platform can be available as a free Docker image, hosted SaaS for convenience, and on-prem, OEM, or enterprise cloud options such as AWS and Azure.
The site states that the Agent SDK supports building agents with pure code, workflows, or visual workflow skills, and that the visual studio supports drag-and-drop workflows plus text and images.
The site highlights strict sandboxing, ACL enforcement, encrypted storage, resource-level access control, human-in-the-loop approvals, auditability, and policy rules as runtime and control-plane concerns.
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