#multi-agent-orchestration

#multi-agent-orchestration

One of the key components of Antigravity is how it reports on its own work. As it completes tasks, it will produce what Google calls Artifacts: task lists, plans, screenshots, and browser recordings that are intended to verify both the work it's done and what it will do. Antigravity will also report on its actions and external tool use along the way, but Google says that Artifacts are "easier for users to verify" than full lists of a models' actions and tool calls.

Pre-built tools, custom functions, OpenAPI specs, and integration across the Google ecosystem. Code-first development that allows developers to define agent logic, tools, and orchestration directly for flexibility, testability, and versioning. The ability to design scalable applications by composing multiple specialized agents into flexible hierarchies. A built-in development UI that lets users test, evaluate, debug, and showcase agents. Support for the Agent2Agent (A2A) protocol, which allows a primary agent to orchestrate and delegate tasks to specialized sub-agents.

Agent Mode enables users to create persistent agents that can operate in the background to manage ongoing tasks. Instead of responding only to immediate prompts, Copilot can now monitor, summarize, or take actions over time. For example, a user can instruct Copilot to track updates to a shared document, prepare a meeting recap, or notify a team when project milestones are reached.