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[ARTICLE · art-51936] src=letsdatascience.com ↗ pub= topic=ai-agents verified=true sentiment=· neutral

Google Expands Managed Agents in Gemini API

Google announced updates to Managed Agents in its Gemini API, adding support for background execution, remote MCP server integration, custom function calling, and credential refresh. The changes allow long-running agent jobs to persist after client disconnection and reduce custom orchestration for enterprise automation. The update targets developers moving agent prototypes into production workflows.

read1 min views1 publishedJul 9, 2026

Google is turning Gemini API agents into more production-ready workers rather than single-request demos. The company said Managed Agents in Gemini API now support background execution, remote MCP server integration, custom function calling, and credential refresh across interactions. For developers, the practical shift is that long-running agent jobs can keep working after the original client connection ends, reconnect to private tools through MCP, and preserve sandbox state while credentials are refreshed. That reduces custom orchestration work around agent runtimes, especially for coding, research, and enterprise automation systems where tasks can span many steps and external services. The update is not a new frontier model, but it is meaningful platform plumbing for teams trying to move agent prototypes into reliable workflows.

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