Google Expands Managed Agents in Gemini API: Background Tasks and MCP
Google is expanding Managed Agents capabilities in Gemini API with new features for developers. New capabilities include background task execution, support for remote MCP, and other options for more reliable agent deployment in production. Managed Agents allow developers to create autonomous AI systems without needing to manage infrastructure themselves. Google positions these tools as competition to other AI agent development solutions, including OpenAI Swarms and Claude API.
AI-processed from Google AI Blog; edited by Hamidun News
Google announced a significant expansion of its Managed Agents solution in the Gemini API. The new functionality makes it easier for developers to create robust, production-ready AI agents, competing with other AI agent platforms.
New Capabilities
- Background tasks — agents can perform long-running operations outside the main thread
- Remote MCP — support for Model Context Protocol for integrating external tools
- Improved reliability — built-in error handling and retry mechanisms
- Scalability — managed infrastructure handles growing workloads
Competitive Positioning
This development puts Google in direct competition with:
- OpenAI Swarms (framework for multi-agent systems)
- Claude API with agent-ified capabilities
- Microsoft AutoGen (Microsoft's multi-agent framework)
What This Means
A full-featured agent platform in the Gemini API means developers no longer need to choose between the simplicity of a managed service and the control of self-managed development. Google offers the best of both worlds. This will accelerate the adoption of AI agents in enterprise applications, from business process automation to complex analytical systems.
- Oct 28, 2026A 2015 CNN Beat GPT-6 Astra and Claude Fable 5.1 at Skin Cancer Diagnosis
- Oct 28, 2026Google taught an LLM to “sleep”: SLEEP consolidates knowledge into weights, up to 10 million tokens
- Oct 28, 2026Keystone removes the model name from code: open-source LLM gateway adds 0.64 ms
- Oct 28, 2026Wired Tested 6 AI Agents in a Day: Dots Leads, Gemini Spark Fails at Lunch
Key Questions Answered
What are the key details on New Capabilities?
Background tasks — agents can perform long-running operations outside the main thread Remote MCP — support for Model Context Protocol for integrating external tools Improved reliability — built-in error handling and retry mechanisms Scalability — managed infrastructure handles growing workloads
What are the key details on Competitive Positioning?
This development puts Google in direct competition with: OpenAI Swarms (framework for multi-agent systems) Claude API with agent-ified capabilities Microsoft AutoGen (Microsoft's multi-agent framework)
What This Means?
A full-featured agent platform in the Gemini API means developers no longer need to choose between the simplicity of a managed service and the control of self-managed development. Google offers the best of both worlds. This will accelerate the adoption of AI agents in enterprise applications, from business process automation to complex analytical systems.
Build & Ship Production AI Agents Without Boilerplate Code
Start your free 72-hour trial at Hamidun Academy (academy.hamidun.com) — interactive lessons on Claude Code & Cursor, live Tech Radar, and production agent templates.
The AI world, distilled — once a week
Seven stories that actually mattered, hand-picked. No noise, no reposts, no press releases.
Done! Check your inbox for a confirmation.