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DigitalOcean Managed Agents

One AI-native stack to power your intelligence. Deploy your preferred agent harness or bring your own, connect it safely to 16,000+ tools, and let it do more work at scale — with no infrastructure to build or maintain. Sessions go from creation to a first response in under a couple of seconds, and resume paused work in about 200 milliseconds.

Three problems with running agents today

Agents tied to one machine

Run an agent locally and the session dies when the laptop sleeps or the process stops. There’s no way to run many sessions in parallel, no state a teammate can pick up, and no clean way to pause a long task and resume it later.

Now you're running infrastructure too

Move to a cloud VM and the agent survives longer, but now someone has to build and maintain everything around it: session persistence, credential handling, tool integrations, and handoff between devices or teammates. Every team ends up building a slightly different version of the same plumbing.

Tool access without governance

Production agents need to touch real systems: repositories, tickets, databases, SaaS tools. Connecting each one independently means a new credential, permission model, and retry system for every integration, with no consistent way to trace what an agent actually did or what it cost.

The runtime and the tools, in one platform

DigitalOcean Managed Agents is made up of two components, vertically integrated, that you can start using today.

Durable execution layer

Harness Runtime (Public Preview)

The execution layer that runs your agent sessions in the cloud and keeps them running, without you provisioning or maintaining infrastructure.

  • Isolated execution in a dedicated Firecracker microVM per session, with its own compute and filesystem
  • Run many agent sessions in parallel as managed cloud workloads, including subagent and map/reduce-style workflows
  • Persist session state across devices and teammates
  • Pause and resume without losing context; CPU and memory charges stop while a session is paused
  • Auto-pause on idle sessions (no outgoing LLM or tool calls)
  • Checkpoint a session and fork a new, independent session from it
  • Bring your own agent as a standard OCI container image and turn it into a reusable template
  • Exec and secure port-forwarding APIs to run commands and preview apps running inside a session
  • Scheduled and webhook triggers for automated runs
  • Per-session access controls, structured event logs, and observability into token usage and approval activity

Supports coding harnesses (Claude Code, Codex CLI, OpenCode), general-purpose agents (Hermes), and agents built with frameworks like LangGraph.

Governed tool access

Action Gateway (Public Preview)

The tool-access layer that gives agents governed access to 16,000+ tools through a single managed MCP endpoint.

  • Tool discovery and selection matched to agent intent with 99.3% accuracy — even when the request’s wording doesn’t match a tool’s name or description — so agents aren’t loading a full catalog into context
  • Credential brokering: tokens resolve at execution time and never reach the model, the agent prompt, or the sandbox
  • Static API keys, shared OAuth apps, or per-user OAuth; the gateway provides a sign-in link mid-workflow when authorization is needed
  • Centralized permissions per tool and action, with required human approval for sensitive operations
  • Built-in rate-limit management, retries, backoff, and timeouts as tool traffic scales
  • Connect DigitalOcean-maintained tools (Web Search, Web Fetch, Browser Automation, infrastructure management APIs), 500+ third-party providers (GitHub, HubSpot, Stripe, Snowflake, PagerDuty, Box, Supabase, Exa, and more), and your own MCP servers
  • Works with any MCP-compatible application, not just Harness Runtime — add the endpoint to your app’s MCP config
  • Tool Playground for testing configurations, permissions, and policies before production

Runs the harnesses you already use

DigitalOcean Managed Agents is harness- and framework-agnostic. Bring the agent you’re already running.

  • Claude Code
  • Codex
  • OpenCode
  • LangGraph
  • CrewAI
  • Hermes

No rebuilding around a DigitalOcean-specific harness. No lock-in to one model provider.

Built for teams already running agents in production

Why teams choose Managed Agents

Durable and parallel

Sessions persist across devices and teammates, survive a closed laptop, and can run many at once instead of one at a time.

Open and neutral

Bring any supported harness, any model, or your own OCI image. No lock-in to a single vendor’s runtime.

Governed by design

Credentials are brokered at execution time and never reach the model. Every tool call is traced, permissioned, and attributed to cost.

Priced for how agents actually work

CPU billing follows actual consumption per second, so an idle agent’s charge falls to zero instead of paying for allocated capacity.

Your agent runtime is part of your stack

Run Managed Agents alongside the rest of DigitalOcean's platform, no stitched-together vendors, fragmented billing, or separate infrastructure to manage.

FAQ

Start building with Managed Agents

Bring the harness and model you already use. We'll handle the runtime.