Gemini API Managed Agents Gain New Capabilities
Key takeaways
- Gemini API's Managed Agents now support background tasks for continuous operation.
- Remote Model Context Protocol (MCP) enhances agent interaction with external services.
- These updates aim to improve the reliability and production-readiness of AI agents.
- Developers can build more sophisticated and integrated AI applications.
Who benefits
Summary
Google is announcing new capabilities for Managed Agents within the Gemini API, including support for background tasks and remote Model Context Protocol (MCP). These enhancements aim to enable developers to build more reliable and production-ready AI agents.
Why it matters
These updates provide developers with more powerful tools to build sophisticated, persistent, and integrated AI agents, expanding the potential for automation and intelligent applications.
How to implement this in your domain
- 1Review the updated Gemini API documentation for Managed Agents and new features.
- 2Experiment with background tasks for long-running AI processes in your applications.
- 3Explore how remote MCP can enable agents to interact with diverse external systems.
- 4Design and prototype new AI agent functionalities that leverage these enhanced capabilities.
- 5Consider migrating existing agent workflows to Managed Agents for improved reliability and scalability.
Original post by {"$":{"xmlns:author":"http://www.w3.org/2005/Atom"},"name":["Philipp Schmid"],"title":["Developer Relations Engineer"],"department":["Google DeepMind"],"company":[""]}
"We’re announcing new capabilities in Managed Agents in Gemini API so developers can build reliable, production-ready agents."
View on XOriginally posted by {"$":{"xmlns:author":"http://www.w3.org/2005/Atom"},"name":["Philipp Schmid"],"title":["Developer Relations Engineer"],"department":["Google DeepMind"],"company":[""]} on X · view source
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