
Agentic development platform
Several local agents can sit in one command center. Conversations group into projects, workspaces can run side by side, and scheduled messages cover routine tasks. The command line is the place to run autonomous coding and shell commands. The IDE keeps artifacts, the agent manager, and codebase understanding. The frontend case also describes a browser in the loop for repetitive interface work. Individual use is marked at no charge, and the organization offer is on the enterprise page. It fits professional developers in large codebases and individuals who want an agent to turn an idea into software.
Google Antigravity is an agentic development platform. The desktop app supports macOS, Windows, and Linux. The page says individual developers can use it at no charge, while organizations have a separate enterprise offer. The command center runs several local agents in parallel, groups conversations into projects, works across workspaces, and uses scheduled messages for routine tasks. The command line runs autonomous coding agents, executes shell commands, and manages background subagents. The IDE includes an agent manager, artifacts, and codebase understanding, and the SDK uses Python scripts to try custom agents and evaluations.
Difficulty: Intermediate
Manage local agents in parallel
The command center watches several local agents, groups conversations into projects, and works across workspaces.
Schedule routine tasks
Scheduled messages handle repeated tasks without opening a new conversation by hand each time.
Autonomous coding in the terminal
The command line runs autonomous coding agents, executes shell commands, and manages background subagents.
IDE with artifacts
The IDE includes the agent manager, artifacts, and codebase understanding. The full-stack case also stresses verification tests.
Script a custom agent
Short Python scripts use its harness to try custom agents, automate engineering tasks, and run evaluations.
Ship an application
In the IDE, a full-stack developer has the agent produce design artifacts and verification tests, then a runnable application.
Cut repeated frontend work
A frontend developer uses a browser-in-the-loop agent to handle repetitive interface tasks.
Evaluate an agent with a script
An engineer writes a Python script to try a custom agent and run evaluations on the same harness.
The download section marks developer use as available at no charge, with desktop builds for macOS, Windows, and Linux. Organizations that want the whole team on it have a separate enterprise entry, and those capabilities are not in the individual download note. Personal install and the team offer are different paths, so a team should read the enterprise page.
The command line is the lightweight surface for autonomous coding agents, direct shell commands, and background subagents. The IDE adds the agent manager, artifacts, and codebase understanding. The command center is where several local agents sit together, conversations join projects, and scheduled messages handle routine tasks. They are different surfaces of the same platform.
The page describes the SDK as short Python scripts on its harness, used to try custom agents, automate engineering tasks, and run evaluations. It is not a second full IDE. Artifacts and codebase context stay in the IDE. Keyboard-first work with an agent stays in the command line.
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