Google Gemini agents: I/O 2026 adds planning, app integrations

Google unveiled agentic capabilities for its Gemini family at I/O 2026, extending the models from conversational assistants to systems that plan, chain tools and act across apps. The company said the new features will appear across Search, Workspace and developer APIs to let models execute multi-step workflows and access external services.

The announcement centers on two changes: an explicit planner-and-executor pattern inside Gemini that can break a user goal into discrete steps, and a set of connectors and runtime controls that let the model call tools, APIs and on-device features. Google demonstrated examples ranging from booking and rescheduling travel across Gmail and Calendar, to assembling a slide deck by pulling images, copy and notes from Drive and Docs.

What Google showed

Gemini’s planner generates an ordered plan of actions, then delegates individual steps to specialized executors and tool adapters. During demos the model invoked search to gather facts, used a calendar connector to propose meeting times, and operated a docs API to produce a draft. Google emphasized multimodal inputs, showing the same agent handling text, images and short video snippets when generating task steps.

The company also introduced a developer-facing API set for building connectors and safe execution environments. Connectors wrap third-party APIs with a capability description that the model can discover and call. Runtimes provide rate limits, retry logic and an audit trail for actions the agent takes. Google said enterprise admins will be able to set guardrails, restrict which connectors are available and require human approval for sensitive steps.

New model tuning and cost controls were discussed at the keynote. Google positioned different execution tiers for planning versus actuation, so a lighter planner model can be run for many users while a higher-capacity executor handles heavy multimodal steps. Pricing and performance details were sketched as forthcoming, with early partner previews available to select developers.

Developer tools, privacy and enterprise controls

Tool builders will receive SDKs and a connector manifest format to declare capabilities such as read-only or write access. Google also described telemetry and logging features for traceability, and a consent model that surfaces to end users when an agent will act on their behalf. For enterprise deployments, admins can whitelist connectors, require prompts for certain tasks and audit agent actions in the admin console.

Privacy measures mentioned include local execution options for on-device steps, token-limited connectors that scope credentials to specific tasks, and retention controls for action logs. Google said these components are intended to reduce risk when agents gain the ability to modify user data, but did not publish technical specifications for isolation or formal verification at the keynote.

Why it matters

Turning Gemini into an agent platform shifts the focus from assistive answers to action-taking workflows, affecting developers, enterprise IT and end users. The real impact will depend on how effectively Google balances convenience with controls for consent, auditability and data isolation. If the promised runtime and admin features are robust, businesses could adopt agents to automate cross-app work; if not, enterprises may limit deployment to avoid operational risk.