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Covered in AI EngineeringAgents & Protocols, where the background and the sources for this subject live.
A cloud agent is a service that loops over goals, model calls and tools inside infrastructure you control. Treat it like a worker, with scoped identity, a queue, a sandbox and full traces. Manual deployment means packaging the agent, setting secrets, proving a dry run, then promoting one controlled replica.
4 min read
Google ADK is the cleaner fit when your agent already lives beside Gemini, Vertex AI and Google Cloud identity. LangGraph is the cleaner fit when the hard part is a stateful workflow you want to run on your own runtime. Manual deployment for both starts with packaging the agent as an API.
5 min read