Google Antigravity architecture: agents, IDE, CLI, SDK, browser, artifacts, and multi-agent workflows
Updated: Sep 16
Google Antigravity is no longer best described as one AI IDE. In 2026 it is an ecosystem of agent surfaces built around a shared execution layer: Antigravity 2.0 for agent orchestration, Antigravity IDE for code-centric work, Antigravity CLI for terminal workflows, and programmatic access through the SDK and API.
The durable architecture is the combination of an agent runtime, tools and permissions, human-verifiable Artifacts, multi-agent orchestration, and a replaceable model layer. That structure explains how Antigravity can evolve across products and models without becoming a different system each time.
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ANTIGRAVITY IS NOW AN ECOSYSTEM, NOT ONE IDE
The November 2025 release placed Editor View and Agent Manager inside one development product. Antigravity 2.0 changed that product boundary: the agent-management experience became a standalone desktop application, while Antigravity IDE continued as the environment for developers who want agents directly alongside the codebase.
Google also added a CLI using the same agent harness, an SDK exposing the same runtime to Python applications, direct agent access through the Gemini API, and later IDE extensions for other development environments. The result is one agent platform with several interaction surfaces.
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Surface | Primary role | Relationship to the agent |
Antigravity 2.0 | Standalone agent command center | Launch, monitor, review, and orchestrate agents |
Antigravity IDE | Codebase-aware development | Agent works directly beside editor and project context |
Antigravity CLI | Terminal-first workflow | Uses the shared agent harness with low UI overhead |
Antigravity SDK / API | Programmatic integration | Embeds or queries the agent runtime from applications |
IDE extensions | Bring Antigravity into other editors | Connect external IDE workflows to Antigravity capabilities |
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THE SHARED AGENT HARNESS IS THE CORE EXECUTION LAYER
Google states that Antigravity 2.0 and Antigravity CLI use the same agent harness. Improvements to the core agent can therefore propagate across multiple interfaces instead of being implemented as independent assistants. Shared settings also reduce configuration drift between graphical and terminal workflows.
The SDK extends the same idea programmatically. Google describes it as using the Antigravity Agent Runtime with built-in tools, a declarative safety-policy engine, lifecycle hooks, and stateful multi-turn sessions.
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AGENTS OPERATE THROUGH TOOLS, PERMISSIONS, AND LONG-RUNNING TASKS
An Antigravity agent is useful because it can act across tools rather than only generate text. Depending on the surface and permissions, the agent can inspect and modify files, execute terminal commands, operate a browser, and run extended task sequences.
Permissions are therefore part of the architecture rather than an afterthought. The same mechanism that gives an agent leverage over a real workspace also creates operational risk if file, terminal, browser, or external-service access is broader than the task requires.
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ARTIFACTS ARE THE HUMAN VERIFICATION LAYER
Artifacts remain one of the defining design choices inherited from the 2025 launch. Plans, task lists, screenshots, browser recordings, walkthroughs, and other generated evidence give the user something concrete to review beyond the agent's final prose response.
This creates a control loop: the agent acts, produces evidence, the user reviews or annotates that evidence, and the next step can incorporate the feedback. The architecture is therefore designed for supervised autonomy rather than opaque background execution.
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MULTI-AGENT ORCHESTRATION IS THE MAIN SCALE SHIFT
Antigravity 2.0 expands the original Agent Manager concept into a dedicated orchestration surface. A primary agent can also spawn subagents with inherited tool and security configuration, allowing specialized work to run in parallel without automatically granting broader permissions.
Hooks, scheduled tasks, and asynchronous task management move the system beyond a single interactive coding session. The practical bottleneck shifts from typing instructions to specifying tasks clearly, reviewing parallel outputs, and controlling dependencies between agents.
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THE MODEL LAYER CAN CHANGE WITHOUT CHANGING THE ARCHITECTURE
Gemini 3 Pro was central to the 2025 launch, but Antigravity's architecture is not defined by a single model name. Google has continued adding newer Gemini variants and other agent capabilities while preserving the broader pattern of surfaces, shared runtime, tools, permissions, Artifacts, and orchestration.
That separation is useful operationally: a model upgrade can improve reasoning speed or quality without requiring an organization to redesign every permission policy, workflow surface, or review process around the agent.
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DATA STUDIOS ARCHITECTURE MAP: SURFACE, HARNESS, TOOLS, FEEDBACK, MODEL
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Layer | Function | Examples |
1. Surface | Where the user or software interacts | 2.0, IDE, CLI, SDK/API, extensions |
2. Agent harness/runtime | Planning, state, execution loop | Shared harness; stateful sessions |
3. Tools and permissions | What the agent can actually do | Files, terminal, browser, external tools |
4. Verification and feedback | How humans inspect and steer work | Artifacts, reviews, inline feedback, hooks |
5. Model layer | Reasoning and generation engine | Gemini family and supported model options |
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Data Studios interpretation: the first four layers are the durable platform. The fifth layer can change quickly as Google updates model availability. This is why architecture pages should not be rewritten around every new model release.
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THE 2025 LAUNCH PAGE AND CURRENT ARCHITECTURE PAGE SERVE DIFFERENT INTENTS
This page is the current technical reference for how Antigravity is structured. The historical launch story, Gemini 3 context, public-preview terms, and original Editor + Agent Manager configuration now live in Google Antigravity with Gemini 3. Current pricing and quotas are covered in Google Antigravity Pricing and Access, while setup and eligibility are covered in Google Antigravity for Free.
The cluster now separates launch history, current architecture, pricing, free setup, trials, and PDF workflows instead of asking several URLs to answer the same query.
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