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DigitalOcean Managed Agents

DigitalOcean Managed Agents

Run AI agents in the cloud with managed sessions and tools

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Launched October 18, 2026

About DigitalOcean Managed Agents

DigitalOcean Managed Agents offers a cutting-edge platform for running AI agents seamlessly in the cloud. Designed for developers and organizations seeking scalable AI solutions, it provides each session with its own Firecracker microVM, enabling features like pause, resume, and fork—making agent management more flexible and efficient. The platform supports popular AI models such as Claude Code, Codex CLI, OpenCode, Hermes, LangGraph, CrewAI, or any container, giving users a broad range of options for deploying AI workloads. Its Action Gateway feature connects agents to over 16,000 tools via a single MCP endpoint, with built-in security measures like credential management and approval workflows for risky actions. Currently in public preview with a $5 trial, DigitalOcean Managed Agents aims to simplify AI deployment while offering robust session control and tool integration, making it ideal for AI developers, data scientists, and enterprise teams looking for a managed, scalable, and secure environment for their AI projects.

Screenshots

DigitalOcean Managed Agents screenshot 1

Pros

  • ✓Provides isolated microVM sessions for enhanced security and flexibility
  • ✓Supports a wide range of AI models and containers
  • ✓Single endpoint for access to 16,000+ tools simplifies integration
  • ✓Session control features like pause, resume, and fork improve workflow management
  • ✓Secure credential handling and approval workflows for risky actions

Cons

  • ✗Currently in public preview, which may limit stability and full feature access
  • ✗Pricing details are not explicitly provided, potentially affecting cost planning
  • ✗May require technical expertise to maximize platform capabilities

Use Cases

1Deploying and testing AI models in isolated, manageable environments
2Integrating AI agents with extensive toolsets for complex workflows
3Securely managing AI sessions for sensitive or enterprise applications
4Developing, debugging, and refining AI code using containerized environments
5Scaling AI workloads efficiently in a cloud environment
6Creating multi-agent workflows with session control and fork capabilities

Pricing

Pricing not verified

Quick Info

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Comments1
Launched10/18/2026

Topics

Artificial Intelligence

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