product launchOct 15, 2026
Building a computer that can pause and resume in milliseconds: Inside the MicroVM architecture behind Managed Agents
DigitalOcean has launched 'Managed Agents' into public preview, utilizing a Firecracker microVM-based architecture. This system enables the checkpointing and restoration of running processes, memory states, and filesystem contexts for agentic workloads.
➔ Managed Agents provide the ability to pause and resume agent sessions in milliseconds, preserving memory, filesystem, and process state via Firecracker microVM checkpointing.
product launchOct 13, 2026
DigitalOcean Launches Inference Router for Automated Model Selection
DigitalOcean has introduced the Inference Router in Public Preview, which automatically routes API requests to the optimal model based on task-specific benchmarks. This feature eliminates the need for manual routing rules and redeployment when swapping between frontier and open-source models.
➔ Users send requests to the 'inference-router' model endpoint, which automatically selects the optimal model based on task category and user-defined preferences (balanced, budget, or quality).
product launchOct 13, 2026
DigitalOcean Introduces Action Gateway for Managed Agents
DigitalOcean has launched Action Gateway to govern external API calls made by AI agents within Managed Agents environments. The system decouples provider credentials from model context and enforces centralized policy checks for tool execution.
➔ Action Gateway acts as a centralized intermediary that holds tool definitions, manages provider credentials outside of model context, and enforces policy checks (allow/deny/ask) before executing external API calls.
featureOct 13, 2026
DigitalOcean Inference Router Enhancements: Performance Tuned Routing, No Rules to Write
DigitalOcean has updated its Inference Router to automatically route API requests to the most performant model based on internal benchmarks for software engineering, agentic workflows, and general reasoning. The system now dynamically selects models from the DigitalOcean Model Catalog, including Anthropic, OpenAI, Kimi, GLM, and DeepSeek, without requiring manual routing rules or configuration.
➔ Developers can now set the model parameter to 'inference-router' to enable automated, benchmark-driven model selection across a catalog of frontier and open-source models.
product launchOct 12, 2026
Introducing DigitalOcean Agent Data Services: The Data Foundation for Agents
DigitalOcean has launched Agent Data Services in private preview to provide a managed platform for ingesting, indexing, and querying multimodal data for AI agents. The service integrates automated data flows, a unified data catalog, and SQL/API-based retrieval to replace fragmented data pipeline infrastructure.
➔ A unified, managed service that provides automated data flows, a governed catalog for structured and vector data, and direct SQL/API access for AI agent context retrieval.
product launchOct 12, 2026
Introducing DigitalOcean Signals and Simulations: see how your agents and models really behave in production, then test the fix before it ships
DigitalOcean launched 'Signals' for automated production traffic triage and 'Simulations' for multi-turn scenario testing within Agent Learning Services. These tools integrate directly with DigitalOcean Managed Agents, Inference Engine, Harness Runtime, and Action Gateway.
➔ Automated detection of agent-specific failures (sentiment, tool loops, infrastructure constraints) via Signals and the ability to generate multi-turn test scenarios from production traces via Simulations.