Why Google's async agents move beyond chatbots
google expands gemini api agents with background execution, remote mcp support, and credential refresh. this allows developers to deploy autonomous agents that handle long-running workflows without blocking live connections.
google deepmind announced significant updates to its gemini api managed agents, introducing support for long-running background tasks, direct integration with remote mcp servers, and network credential refresh. the new background execution feature allows agents to return an id immediately and run asynchronously, solving the fragility of holding open http connections for extended periods. additionally, remote mcp support enables agents to securely communicate with private databases and internal endpoints without custom middleware, while step matching allows custom functions to trigger local client logic alongside server-side tools. these updates aim to move ai agents from experimental prototypes to reliable, production-grade systems capable of maintaining state and managing complex workflows autonomously.