Enterprise agent adoption isn’t one-size-fits-all. While many teams will opt for managed commercial platforms, such as Gemini Enterprise Agent Platform for turnkey agent deployment and governance, developers with bespoke workflows or custom execution engines often choose to build their own lightweight agent hubs. If you are building a centralized agent hub from the ground up, you need tools that run predictably, log everything, and stay in their sandbox. The Antigravity SDK gives you the exact runtime engine used in Antigravity 2.
0 and the Antigravity CLI, adding declarative safety policies, real-time telemetry, and stateful multi-turn persistence straight into your application. When the core runtime updates, your SDK agents get those optimizations automatically. That's why today, we're breaking down how the Antigravity SDK powers a complete multi-agent control plane. A multi-agent control plane monitors and manages LLM workloads. It shows you exactly what the agent is thinking, which tools it calls, and how it stores state. Antigravity SDK agent core : The runtime that manages model interactions (like Gemini 3.
8 Flash), runs tools, generates thinking traces, and executes skills. Observability and telemetry middleware : An event-driven layer powered by Antigravity SDK Lifecycle Hooks. It intercepts agent actions like step starts, thinking updates, and tool calls, and streams telemetry over WebSockets to your dashboard. Let's explore a scenario where an organization is building or maintains a custom agent hub and wants to integrate Antigravity SDK-powered agents. The problem : An operations engineer needs to monitor multiple active agents (e.
, gemini-pro-agent , github-agent , email-agen t ) performing background research, document summarization, and task scheduling.