• Introducing DigitalOcean Gradient™ AI Agent Development Kit: Deploy agent code as a real application ByGrace Morgan Updated:February 3, 2026 4 min read AI agents are everywhere right now. • You’ve seen the demos: agents that plan trips, write code, or manage inboxes. • But once you try to run one outside a demo, reality sets in. • Taking an agent from “it works locally” to “this runs reliably in production” usually means stitching together infrastructure, deployment pipelines, logging, endpoints, and monitoring, often without changing the agent logic itself. • The gap between prototype and production is where most agent projects stall. • TheDigitalOcean Gradient™ AI Agent Development Kit (ADK), now available inpublic preview, is designed to close that gap.
Article Summaries:
- DigitalOcean has launched the Gradient™ AI Agent Development Kit (ADK) in public preview, offering a Python SDK and CLI that let developers deploy AI agents as fully managed, production‑ready services without rewriting their code. The ADK supports any Python‑based agent framework (LangChain, LangGraph, PydanticAI, CrewAI, etc.) and provides built‑in logging, tracing, and HTTP endpoints for easy monitoring and debugging. By running agents alongside inference workloads, knowledge bases, and other application services on DigitalOcean’s platform, the kit removes the need for separate infrastructure, deployment pipelines, and manual endpoint configuration, streamlining the move from prototype to production.
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