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Google DeepMind adds 4 production features to Gemini API Managed Agents

Google DeepMind has enhanced its Gemini API Managed Agents with four new production-ready features. These updates enable long-running background execution, integration with remote Model Context Protocol servers, custom function calling alongside sandbox tools, and automatic network credential refreshing. The enhancements aim to transform managed agents into asynchronous workers capable of operating within development environments without blocking applications, offering a managed solution for agent execution that contrasts with Amazon Bedrock AgentCore's more modular, AWS-native approach. AI

IMPACT These enhancements make AI agents more robust for production environments, enabling asynchronous operations and simplifying integration.

RANK_REASON The article details new features for an existing API product, comparing it to a competitor, which falls under tooling.

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Google DeepMind adds 4 production features to Gemini API Managed Agents

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  1. dev.to — MCP tag TIER_1 English(EN) · Manu Shukla ·

    Gemini API Managed Agents: 4 production features and how they compare to Bedrock AgentCore (2026)

    <h1> Gemini API Managed Agents: 4 production features and how they compare to Bedrock AgentCore (2026) </h1> <p><strong>Summary.</strong> On 7 July 2026 Google DeepMind expanded Managed Agents in the Gemini API with 4 capabilities aimed at production use: long-running background …