Google、AI Studio にエージェント管理 UI をテスト中

Google appears to be building a dedicated agents section into AI Studio, adding a management surface for the managed agents it launched at I/O in May. The work in progress introduces a workbench tab listing available agents, with a project switcher that scopes each list to a specific Google Cloud project. That detail implies agent definitions are meant to sit against Cloud projects and billing rather than in a separate consumer-grade sandbox.

From the same tab, a creation flow is present, alongside a per-agent file directory in its own tab where files can be added and edited directly in the browser, and a configuration screen covering name, description, a custom prompt, and further settings. That maps closely to how managed agents are already defined through the API, where an agent is essentially a bundle of instructions, skills, and mounted sources. The unreleased interface would give that bundle a graphical editor instead of a JSON payload or a terminal command.

The background model is currently locked to the Antigravity harness, the agent runtime Google shipped at I/O and which now runs on Gemini 3.6 Flash. The selector around it is present but offers nothing else, which usually points to alternatives being wired in later, plausibly other harnesses or model tiers as they arrive.

AI Studio already carries an agents toggle inside its playground with pre-configured templates, so this reads less like a first step and more like the layer above it, where prototyping turns into hosting and lifecycle management. Anthropic reached that point in April, when Claude Managed Agents entered public beta with configuration, sandboxes, and session tracing exposed through its console, and Google now looks set to close the same loop.

Timing remains unclear, and the model roadmap does not help. Gemini 3.5 Pro missed its June target, and an analyst note claims it was quietly shelved in favor of Gemini 4, although Google has not confirmed this and still lists the model as coming. The agent stack leans on Flash-class models regardless, so it is not obviously waiting on a Pro release.

Source