Google Cloud Next '26 Notify me• Apr 23, 2026• 19:16ConferencePanel

A closer look at Agents CLI

From Google Cloud Next '26 · 2026

Shubham Sabu(AI Product Manager, Google Cloud, guest)

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Executive Summary

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Simplifying the Agent Development Lifecycle Productionizing Agents with Determinism and Reliability

12 quotes

Concerns Raised

The inherent non-determinism of AI agents in production environments.
The complexity of managing the end-to-end agent development lifecycle.
Difficulty in handling long-running, asynchronous tasks that require state persistence and human intervention.

Opportunities Identified

Streamlining enterprise workflows in finance and insurance with reliable, deterministic agents.
Lowering the barrier to entry for developers to build, deploy, and manage production-grade AI agents.
Creating more autonomous systems that can handle complex, multi-day tasks by leveraging long-running agents.
Accelerating the adoption of sophisticated multi-agent architectures through pre-built templates.

Key Themes

Research Findings12

Agent Development Kit 2.0 introduces graph-based workflows to provide determinism and reliability for agents in production environments.

Google Cloud announced Agent Development Kit 2.0 at Cloud Next '26.

Google Cloud has launched Agent CLI, a new command-line interface designed to manage the entire agent development lifecycle.

Google Cloud has launched long-running AI agents that can maintain state for up to seven days.

Google Cloud has launched "ambient agents" and "resume agents" within the Agent Development Kit to support long-running AI agents.

Agent CLI serves as the entry point for building applications with the Agent Development Kit and the Gemini Enterprise agent platform.

Google Cloud's Agent CLI is compatible with various coding agents, including Gemini CLI and codex, after a global installation.

Graph-based workflows in Agent Development Kit 2.0 are particularly suitable for use cases in financial services and insurance claims processing that require high reliability.

Google Cloud's "ambient agents" can be triggered by events, text messages, schedules, or prompts, rather than only direct instructions.

The "resume agents" feature in the Agent Development Kit allows an agent to resume from a paused state by setting a single parameter to true.

During his keynote, Sundar Pichai demonstrated how Google Cloud is using agent teams, composed of planner, orchestrator, and worker agents, to perform migrations.

Google Cloud's Agent Garden is a library of pre-built templates for multi-agent patterns and use cases, with source code available on GitHub.

Topics

AI Agents Google Cloud Agent Development Kit (ADK)Agent CLI Developer Tools Multi-agent Systems Graph-based Workflows Long-running Agents Agent Lifecycle Management Production AI Enterprise AI Determinism Agent Evaluation Gemini Cloud Next

Processed Apr 28, 2026Daily intelligence brief → yt-dlp + mlx-whisper + Gemini

A closer look at Agents CLI

Continue your research

Concerns Raised

Opportunities Identified

Key Themes

Simplifying the Agent Development Lifecycle

Productionizing Agents with Determinism and Reliability

Enhancing Agent Autonomy and Persistence

Accelerating Development with Multi-Agent Patterns

Research Findings12

Topics