DigitalOcean

The AI-Native Cloud

DigitalOceanSep 22, 2026

The AI-Native Cloud

DigitalOcean launch preview
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AI agentCinematicProduct launchExplainerB2B3M-5MGlobalSeries C+

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DigitalOcean Managed Agents is a hosted runtime for AI coding and workflow agents, aimed at developers who want to ship agentic features without stitching together compute, tool access, and model inference themselves. Developers can create sessions with Claude Code, Codex CLI, OpenCode, Hermes, LangChain and LangGraph through the Cloud Console or the doctl CLI, and configure tool access through Action Gateway using the DigitalOcean SDK or any MCP-compatible client. The launch matters because it consolidates three moving parts of agent infrastructure (execution, tools, and inference) into one billed service on a cloud already used by many small and mid-market teams. Under the hood, every Managed Agents session runs in its own isolated harness runtime with harnesses that teams already use, governed access to 16,000+ tools, and Serverless Inference across 75+ open and proprietary models, with a meter that only runs when the agent is active. Tool access is handled by Action Gateway, which gives agents governed access to 16,000+ tools through a single managed MCP endpoint, including tool integrations like Web Search, Web Fetch, Browser Automation, and DigitalOcean infrastructure management APIs , alongside connectors for services like GitHub, Jira, Notion, Linear, and Postgres with centralized authentication, permissions, approvals, and audit controls. DigitalOcean is positioning this as the next layer of its cloud stack for agent builders, with a five-layer integrated platform spanning GPU and CPU infrastructure, core cloud, inference, data, and managed agent orchestration . The public preview is live now, and new DigitalOcean users receive a $5 credit to launch their first agent session , making it a low-friction way for founders and platform teams to test whether a managed harness plus MCP gateway can replace the glue code they are currently maintaining in-house.

Comments (8)

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Nadia Farouk19d ago

ok wait, 'pauses when idle' is the phrase that actually made me click. every agent I've deployed has been a $400 heater running overnight for no reason.

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Rohan Sridhar19d ago

idle-pause billing is the right primitive but the demo better not be a pre-recorded terminal gif or the staff engineers on here will eat you alive.

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Kunal P.19d ago

one bill is doing heavy lifting in that tweet copy. I have PTSD from reconciling anthropic, openai, and a vector db invoice in the same month.

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Okay Wang19d ago

75+ models feels like a menu at a diner where you order the pancakes every time anyway.

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Tomas Lindqvist19d ago

the landing page copy is clean but the launch tweet buries the lede. 'pauses when idle' should have been the hook, not paragraph two.

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Zuzana R.19d ago

curious how open the runtime spec is. if I can byo agent framework without a proprietary sdk wrapper, I'm actually interested.

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Mireille Okonkwo19d ago

naive question but what counts as 'idle'? if my agent is waiting on a slow tool call for 40 seconds am I paying for the wait or not.

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Chase Ferrara19d ago

hot take: 'ai-native cloud' is the new 'mobile-first' and in 18 months every hyperscaler landing page will say it.