Google Cloud introduced the Agent CLI, a new command-line interface designed to be the single entry point for the entire agent development lifecycle. It abstracts complexity by allowing developers to use natural language prompts with their preferred coding agent to build, deploy, evaluate, and optimize AI agents.
The launch of Agent Development Kit 2.0 brings graph-based workflows, which allow developers to enforce specific, predictable paths for agent tasks. This addresses the core enterprise challenge of non-determinism in AI, making agents more reliable for production environments.
Google Cloud now supports long-running AI agents that can maintain state and context for up to seven days. This is enabled by features like "ambient agents," which can be triggered by events, and "resume agents," which can be paused and restarted, crucial for asynchronous tasks and human-in-the-loop workflows.
The discussion highlights the shift towards multi-agent systems, where teams of specialized agents (e.g., planner, orchestrator, executor) collaborate on tasks. To facilitate this, Google Cloud offers the Agent Garden, a library of pre-built templates and patterns for common multi-agent architectures.
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