Antigravity

Antigravity is an agentic software development platform from Google that helps developers plan, build, test, and maintain software with autonomous AI agents. The platform gives agents access to development tools such as code workspaces, terminals, browsers, and project files so they can complete larger engineering tasks instead of only suggesting individual lines of code.

Developers can use Antigravity to assign tasks, coordinate multiple agents, review code changes, inspect testing evidence, and provide feedback throughout the development process. Its artifact system creates visible records of an agent’s work, including implementation plans, code changes, screenshots, test results, and browser recordings.

Antigravity is designed for professional developers, engineering teams, researchers, and independent builders who want to delegate repetitive or time consuming software development work while maintaining oversight of the final result.

Antigravity Details

Free

Agent Tools

Reviewed by Add AI Directory Editorial Team

The Add AI Directory Editorial Team reviewed Antigravity using publicly available product information, official documentation, feature descriptions, and platform materials provided by Google.

Our review focuses on the platform’s primary capabilities, development workflow, supported use cases, agent management tools, verification features, and intended audience. Product capabilities, model availability, pricing, and usage limits may change as Google continues to develop the platform.

Sources

Google Antigravity Official Website

Google Antigravity Product Documentation

Google DeepMind Antigravity Announcement

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Visit Antigravity to review the available development tools, supported models, system requirements, and current access options.

Overview of Antigravity

What Is Antigravity

Antigravity is an agentic development platform created by Google for building and managing software with autonomous AI agents. Rather than functioning only as a traditional code completion assistant, Antigravity allows developers to assign complete tasks to agents that can inspect a project, create a plan, modify files, run terminal commands, test applications, and report the results.

The platform is built around an agent first approach to software development. A developer can describe the desired outcome, provide relevant project context, and allow an agent to determine the individual steps required to complete the task. Depending on the assignment, an agent may research the codebase, identify affected files, write code, install dependencies, execute tests, open the application in a browser, and verify that the new functionality works.

Antigravity provides several ways to interact with its development agents. Antigravity 2.0 acts as a desktop command center for launching and coordinating agents across projects and workspaces. Antigravity CLI provides a terminal focused interface for developers who prefer keyboard based workflows. Antigravity SDK gives developers and researchers a Python framework for creating custom agents and agentic applications. Antigravity IDE provides a complete development environment with integrated coding agents and project awareness.

A central part of Antigravity is its artifact based verification system. Agents can generate plans, code diffs, screenshots, browser recordings, test reports, and other visual evidence that explains what they changed and how they validated the result. These artifacts help developers review the work without having to examine every internal action performed by the agent.

Antigravity can also coordinate multiple agents or subagents. A primary agent may delegate separate parts of a larger task to other agents, allowing research, frontend development, backend development, testing, and documentation work to happen in parallel. This can help developers complete complex projects faster while keeping each workstream organized.

The platform is intended to support both experienced developers and people experimenting with AI assisted software creation. Professional teams can use Antigravity for work across large repositories, while independent developers can use it to prototype applications, fix bugs, automate routine changes, and explore new ideas.

Because Antigravity agents can access project files and execute commands, developers should still review important changes, maintain backups, use version control, and apply appropriate approval settings. The platform is designed to increase development speed, but human review remains important when agents are working with production code, sensitive information, or critical infrastructure.

How To Use Antigravity

Antigravity can be used through its desktop application, command line interface, software development kit, or integrated development environment. The best interface depends on whether the user wants to manage several agents, work primarily in a terminal, build a custom agent, or use a more traditional coding workspace.

A typical workflow begins by opening a project, describing the desired task, selecting the appropriate model or agent configuration, and allowing the agent to inspect the relevant files. The developer can then review the proposed plan, monitor progress, inspect artifacts, test the completed work, and provide feedback when additional changes are required.

Install Antigravity

Begin by downloading the appropriate Antigravity application or development tool for your operating system and preferred workflow. The desktop application is suited to developers who want a visual command center for managing agents and projects.

Developers who prefer terminal based workflows can use Antigravity CLI. Researchers and advanced developers can use Antigravity SDK to create programmable agents with custom tools, lifecycle hooks, safety policies, and task logic.

After installation, open an existing project or create a new workspace. Before allowing an agent to modify important files, confirm that the project is stored in version control and that important data has been backed up.

Select a Model

Choose an available model based on the complexity and requirements of the task. Faster models may be useful for routine code edits, summaries, file searches, and straightforward debugging. More capable reasoning models may be better suited to architecture decisions, complex refactoring, detailed planning, and tasks that affect several parts of a codebase.

Model availability can depend on the Antigravity product, account type, usage limits, and current platform configuration. Developers should review the current model list inside the application before beginning a project.

The best model is not always the largest model. A smaller or faster model may complete simple tasks more efficiently, while a more advanced model may provide better results for work that requires deeper reasoning or a broader understanding of the repository.

Use the Editor View

The Editor View provides a familiar coding environment where developers can inspect files, make manual changes, communicate with agents, and review generated code.

A developer can describe a task in natural language, such as adding a contact form, correcting an application error, updating an API endpoint, or refactoring a component. The agent can then inspect the relevant files and propose an implementation plan.

The Editor View is useful when the developer wants to remain closely involved in the coding process. It allows the user to move between manual development and agent assistance without leaving the project environment.

Developers should review generated code for correctness, security, maintainability, and consistency with the existing project. Antigravity can automate much of the implementation process, but the developer remains responsible for deciding whether the changes should be accepted.

Open the Manager View

The Manager View functions as a control center for coordinating agents across projects, workspaces, and development tasks. It is particularly useful when several tasks need to run at the same time.

A developer can launch separate agents for different responsibilities. One agent might investigate a bug while another creates documentation and another runs tests. Each agent can work within its assigned context while the developer monitors progress from the Manager View.

This approach can reduce the need to complete every task sequentially. It also makes it easier to separate unrelated assignments and prevent one long conversation from becoming overloaded with project context.

The Manager View is useful for larger projects, ongoing maintenance work, and development teams that want to delegate multiple well defined tasks to autonomous agents.

Review Artifacts

Artifacts provide structured evidence of the work completed by an agent. Depending on the task, an artifact may include a development plan, file changes, code diffs, screenshots, test results, terminal output, or browser recordings.

Developers can use these artifacts to understand what the agent changed and how the final result was tested. For example, a browser recording may show that a new button works correctly, while a code diff may show the exact files and functions that were modified.

Artifact review is especially valuable when an agent completes a longer task in the background. Instead of reconstructing the entire process from a conversation log, the developer can inspect the most important evidence and decide whether further work is required.

Artifacts should be treated as supporting evidence rather than a replacement for code review. Important changes should still be inspected and tested within the actual development environment.

Provide Feedback

Developers can guide Antigravity agents by providing feedback on plans, code changes, artifacts, and completed results. Feedback can identify an error, request a different implementation, clarify a requirement, or direct the agent to investigate another part of the project.

Specific feedback generally produces better results than broad instructions. For example, instead of saying that a page looks wrong, the developer can explain which element is incorrect, what the expected behavior should be, and which device or browser is affected.

Antigravity can use this feedback to revise its work and produce another iteration. This creates a collaborative workflow where the agent completes much of the execution while the developer provides direction, judgment, and final approval.

Build Long Term Memory

Antigravity can retain useful knowledge about a project, development workflow, or recurring preference. This may include coding conventions, commonly used commands, project architecture details, preferred libraries, testing procedures, or successful implementation patterns.

Knowledge retention can reduce the amount of context a developer must repeat during future tasks. An agent that understands the project structure may be able to locate relevant files, follow established conventions, and avoid previously corrected mistakes.

Developers should ensure that retained knowledge remains accurate. Project architecture, dependencies, naming conventions, and business requirements can change over time. Outdated instructions should be corrected so agents do not continue following obsolete patterns.

Long term memory is most useful when it captures stable project knowledge rather than temporary assumptions.

Antigravity Key Features

Agent Driven Software Development

Antigravity allows autonomous agents to complete development tasks that involve several steps and tools. Agents can inspect repositories, edit files, execute terminal commands, launch applications, run tests, and verify the resulting behavior.

This moves the platform beyond basic code suggestions. A developer can assign an outcome instead of manually prompting for every individual change. The agent can create a plan and perform the required actions while keeping the developer informed through messages and artifacts.

Agent driven development can be useful for repetitive work, clearly defined features, maintenance tasks, test creation, documentation updates, and early prototypes.

Multi Model Support

Antigravity supports access to multiple AI models, allowing developers to choose a model based on speed, reasoning ability, context requirements, and task complexity.

Different models may perform better on different types of work. One model may be suitable for quick code edits, while another may be better for detailed planning, architecture analysis, or complicated debugging.

Available models and usage limits can change as Google updates the platform. Developers should confirm current model access within Antigravity before relying on a specific model for a long term workflow.

Artifact Based Verification

Antigravity generates artifacts that document important parts of an agent’s work. These artifacts can include implementation plans, code changes, screenshots, browser recordings, terminal results, and testing evidence.

The artifact system gives developers a clearer way to evaluate autonomous work. Instead of accepting a statement that a feature is complete, the developer can inspect evidence showing what was changed and how it was tested.

This verification process can improve trust and make it easier to identify incomplete work, unexpected changes, or areas that require additional review.

Editor and Manager Views

Antigravity offers different interfaces for hands on development and broader agent coordination.

The Editor View supports direct work within a codebase. Developers can inspect files, communicate with agents, make manual changes, and review generated code.

The Manager View provides a broader view of active projects, workspaces, agents, and tasks. It allows developers to monitor parallel work and coordinate several agents without combining every assignment into one session.

Together, these views support both focused coding and higher level task management.

Integrated Browser Testing

Antigravity agents can interact with a browser to test web applications and confirm that changes work in a real interface.

An agent may open a page, navigate through the application, click interface elements, enter information, and inspect the resulting behavior. It can then capture screenshots or recordings as evidence.

Browser testing is useful for validating visual changes, user flows, forms, navigation, responsive layouts, and other functionality that cannot be fully evaluated from source code alone.

Developers should still conduct additional testing for accessibility, browser compatibility, performance, security, and unusual user behavior.

Comment Based Feedback

Developers can add comments and instructions directly to the materials produced by an agent. This makes it possible to request changes without restarting the entire task.

A comment might ask the agent to use a different component, preserve an existing API, simplify the design, add validation, or correct a specific visual problem.

Comment based feedback creates a more iterative development process. The agent can revise targeted parts of the work while retaining the broader project context.

Knowledge Retention

Antigravity can retain useful information from previous work so agents can apply established patterns during future tasks.

This may include project structure, coding standards, preferred tools, common commands, testing requirements, and lessons learned from previous corrections.

Knowledge retention can make future sessions more efficient and consistent. It is particularly useful for large projects where repeatedly explaining the architecture would consume significant time and context.

Cross Platform Software

Antigravity provides development options for major desktop operating systems and supports workflows across visual applications, terminals, and programmable interfaces.

Cross platform availability allows developers to incorporate the platform into different technical environments. Teams with varied operating systems can use similar agentic workflows without depending on a single desktop setup.

Users should confirm the current operating system requirements and product availability before installation.

Antigravity Use Cases

Software Development

Developers can use Antigravity to build applications, add features, create components, connect services, modify APIs, and complete other software engineering tasks.

The developer describes the desired outcome and provides any necessary requirements. An agent can then inspect the project, create an implementation plan, modify the code, run the application, and verify the result.

Antigravity can support both new projects and existing codebases. The amount of developer supervision required will depend on the complexity and risk of the assigned task.

Code Maintenance

Antigravity can help maintain existing applications by updating dependencies, reorganizing files, refactoring functions, removing obsolete code, and improving code consistency.

Maintenance tasks are often repetitive but still require an understanding of how different files and components interact. An agent can inspect the repository, identify affected areas, make coordinated changes, and run tests to detect regressions.

Developers should review broad refactoring work carefully because changes that appear harmless may affect undocumented behavior or external integrations.

Automated Testing

Antigravity can create tests, run existing test suites, inspect failures, and verify application behavior in a browser.

An agent may generate unit tests for a function, integration tests for an API, or browser tests for a user workflow. It can then run those tests and use the results to revise the implementation.

Automated testing can help teams identify errors earlier, but generated tests should also be reviewed. A test can pass while failing to measure the most important business requirement or user outcome.

Multi Agent Collaboration

Antigravity can divide a complex assignment among multiple agents or subagents. Separate agents may work on research, interface development, backend logic, testing, documentation, or code review.

Parallel execution can reduce the amount of time required to complete work that would otherwise happen sequentially. It can also prevent unrelated tasks from competing for the same conversation context.

The primary developer should define clear responsibilities and review how the completed work fits together. Parallel agents may make conflicting assumptions when project requirements are unclear.

Debugging

Developers can use Antigravity to investigate application errors, failing tests, unexpected behavior, and performance problems.

An agent can inspect error messages, search the repository, trace relevant functions, reproduce the issue, propose a cause, and implement a correction. It may also use terminal output, screenshots, or browser recordings to document the problem and verify the fix.

Clear reproduction instructions can improve debugging results. Developers should provide the error message, expected behavior, affected environment, and steps that trigger the issue whenever possible.

Rapid Prototyping

Antigravity can turn a written concept into an early working application or feature. A developer can describe the required pages, interactions, data, and visual direction, then allow the agent to create the initial project structure.

This can help entrepreneurs, designers, researchers, and engineering teams test an idea before investing in a complete production build.

A prototype created by an agent may still require substantial work before launch. Security, accessibility, performance, data handling, error states, and long term maintainability should be evaluated separately.

Developer Onboarding

Antigravity can help new developers understand an unfamiliar codebase by examining the project structure and explaining how important components interact.

An agent can identify entry points, summarize directories, describe data flows, locate configuration files, and explain how to run or test the application. It may also generate onboarding documentation based on the current repository.

This can reduce the time required for a new team member to begin contributing. However, agent generated explanations should be confirmed by experienced team members when they involve critical architecture or internal business logic.

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Visit Antigravity to explore its desktop application, command line tools, software development kit, integrated development environment, supported models, and current usage options.

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