The agent-first cloud: why we built Managed Agents
DigitalOcean has launched 'Managed Agents' into public preview, providing a unified runtime environment for AI agents. The platform integrates sandbox execution, model inference, and data storage into a single service architecture.
Verified State Diff
Impact & Verification Analysis
AI developers, software engineers building agentic workflows, and CTOs managing AI infrastructure costs.
It reduces operational complexity and infrastructure fragmentation for AI agents, allowing developers to move from managing individual cloud components to deploying cohesive, stateful agentic applications.
Full Fact Overview
DigitalOcean is shifting its infrastructure focus from traditional VM-hour billing to a token-based and microVM-second execution model designed for bursty, non-persistent AI workloads. The Managed Agents platform addresses the 'glue code' problem by consolidating disparate components—sandboxing, inference, and state management—into a single managed runtime. This move signals a strategic pivot to capture the AI-native developer market by abstracting the complexity of orchestrating multi-vendor agent stacks, moving away from the legacy Droplet-centric model toward an event-driven, token-aware architecture.