We’re announcing new capabilities in Managed Agents in Gemini API so developers can build reliable, production-ready agents.
Building Managed Agents | Gemini API | Google AI for Developers
How to create and use custom agents with managed agents in the Gemini API.
Environments in Managed Agents | Gemini API | Google AI for Developers
Learn about persistent execution environments for managed agents in the Gemini API, including pre-installed software, snapshots, and configuration options.
Introducing Gemini Enterprise Agent Platform | Google Cloud Blog
Gemini Enterprise Agent Platform is our new platform to build, scale, govern, and optimize agents. It integrates the model selection, model building, and agent building capabilities of Vertex AI, with new features for agent integration, DevOps, and orchestration, and security.
Gemini CLI: your open-source AI agent
Free and open source, Gemini CLI brings Gemini directly into developers’ terminals — with unmatched access for individuals.
Agent Gateway overview | Gemini Enterprise Agent Platform | Google Cloud Documentation
Secure and govern AI agent connectivity with Agent Gateway. Centralize access policies, mTLS, and Model Context Protocol (MCP) security for agent-to-agent and agent-to-tool interactions across diverse runtimes.
Google expands Gemini Enterprise, consolidates Vertex AI services to simplify agent deployment
Gemini Enterprise Agent Platform aims to help organizations to build, scale, govern, and optimize AI agents
Gemini Enterprise Agent Platform release notes | Google Cloud Documentation
You can see the latest product updates for all of Google Cloud on the Google Cloud page, browse and filter all release notes in the Google Cloud console, or programmatically access release notes in BigQuery.
New capabilities for building agents on the Anthropic API | Claude
Claude now offers code execution, MCP server connections, file storage, and extended prompt caching through the API—giving developers powerful tools to build agents that analyze data, connect to external systems, and maintain context for longer periods of time.
docs: Rebrand Vertex AI to Gemini Enterprise Agent Platform (#14472) · googleapis/google-cloud-go@4e3f219
Updated README to reflect rebranding of Vertex AI to Gemini Enterprise Agent Platform.
Demis Hassabis on Twitter / X
MCP is a good protocol and it's rapidly becoming an open standard for the AI agentic era. We're excited to announce that we'll be supporting it for our Gemini models and SDK. Look forward to developing it further with the MCP team and others in the industry https://t.co/RAJH8J5zbB— Demis Hassabis (@demishassabis) April 9, 2025
Interactions API: A unified foundation for models and agents
Google’s Interactions API is a unified interface for interacting with Gemini models and agents.
Google Gemini Enterprise: Vertex AI Rebrand at Cloud Next 26 | AI Automation Global
Google rebranded Vertex AI as Gemini Enterprise Agent Platform at Cloud Next 26. A2A protocol v1.0, Workspace Studio, 200+ models, 150 deployments.
🚨 AI News | TestingCatalog on Twitter / X
OPENAI 🚨: Early look at an upcoming Agent Studio for building and hosting configurable, always-on 24/7 agents on ChatGPT. The "Hermes" feature is tightly coupled with the existing Workflows builder on the OpenAI Platform, and you will also be able to open your Agents in the… https://t.co/7U4m2vNS3z pic.twitter.com/tfPIGdXRAs— 🚨 AI News | TestingCatalog (@testingcatalog) April 21, 2026
Google introduces Gemini Spark, a 24/7 agentic assistant with Gmail integration, at IO 2026 | TechCrunch
At the Google I/O developer conference, the company announced a new agentic personal assistant called Gemini Spark, built from Gemini's base models and an agentic harness from Google Antigravity.
Bring Your Own Agent to Zed — Featuring Gemini CLI
From the Zed Blog: Zed now lets you use the agent of your choice through the new Agent Client Protocol, starting with Google's Gemini CLI.
Google Gemini Enterprise Agent Platform: Build and Deploy A2A Agents
Vertex AI is now the Gemini Enterprise Agent Platform. Learn ADK v1.0, A2A protocol, Agent Studio, and how to migrate before the June 2026 SDK deadline.
