How to Configure OpenClaw with Google Antigravity for Autonomous Software Development

OpenClaw is a brilliant orchestrator. It can plan, research, manage files, and coordinate complex multi-step workflows. But when it comes to writing production-quality code, it benefits enormously from having a purpose-built coding environment to delegate to. That environment is Google Antigravity.

Antigravity is Google's Agentic IDE—a specialized coding agent powered by frontier models like Gemini 3 Flash and Opus 4.5. On its own, Antigravity is a phenomenal pair-programming partner. But when you connect it to OpenClaw, something remarkable happens: you get a full autonomous engineering team that can plan features, write implementations, run tests, debug failures, review its own code, and even design user interfaces—all orchestrated by your personal AI agent, running 24/7.

This guide walks you through the complete setup, from prerequisites to your first autonomous coding session.

Prerequisites

Before you begin, make sure you have the following:

OpenClaw installed and running (v2.4+ recommended). If you need help, see our Getting Started Guide.
Google Antigravity installed on your machine. Antigravity is available as a standalone application or as a VS Code extension.
A Google Account with access to Antigravity (free tier is sufficient for most use cases).
Node.js 18+ and Git installed on your system.
A project workspace — a directory where your code will live (e.g., ~/projects/my-app).

Step 1: Install the Antigravity Skill

OpenClaw communicates with Antigravity through a dedicated skill available on ClawHub. This skill acts as the bridge between OpenClaw's orchestration engine and Antigravity's coding agents.

# Install the Antigravity integration skill
openclaw skills install antigravity-bridge

# Verify it's installed
openclaw skills list | grep antigravity

You should see output confirming the skill is loaded:

✓ antigravity-bridge@1.2.0 — Bridge to Google Antigravity Agentic IDE

Step 2: Authenticate with Google

Antigravity uses your Google account for authentication and model access. The bridge skill needs permission to communicate with the Antigravity API.

# Run the authentication flow
openclaw antigravity auth

# This will open your browser for Google OAuth
# Grant the requested permissions and return to your terminal

Once authenticated, your credentials are stored securely in ~/.openclaw/credentials/antigravity.json. This file is encrypted at rest and scoped only to the Antigravity API.

Security Tip: Never share your credential file. If you suspect it has been compromised, revoke access immediately from your Google Security Dashboard and re-authenticate.

Step 3: Configure the Model Backend

One of the biggest advantages of the Antigravity integration is free access to frontier models. Antigravity provides access to Gemini 3 Flash for high-speed tasks and Opus 4.5 for complex reasoning—without you needing separate API keys or billing accounts.

Open your OpenClaw configuration file:

nano ~/.openclaw/config.yaml

Add or update the Antigravity section:

# Antigravity Configuration
antigravity:
  enabled: true
  workspace: "~/projects"       # Default project directory
  model_preference:
    primary: "gemini-3-flash"    # Fast for routine coding tasks
    complex: "opus-4.5"          # Deep reasoning for architecture decisions
  auto_review: true              # Enable automatic code review before commits
  sandbox: true                  # Run generated code in Docker sandbox
  max_concurrent_agents: 3       # Number of parallel coding agents

Model Selection Explained

Model	Best For	Speed	Cost
Gemini 3 Flash	Routine code generation, file edits, quick fixes	Very Fast	Free
Opus 4.5	Complex architecture decisions, debugging, refactoring	Moderate	Free (via Antigravity)
Local (Ollama)	Offline fallback, privacy-sensitive code	Varies	Free (your hardware)

The model_preference section tells OpenClaw which model to use for different types of tasks. For most development work, Gemini 3 Flash handles 80% of tasks with exceptional speed. Opus 4.5 is reserved for the hard problems—multi-file refactors, complex debugging, and architectural decisions.

Step 4: Set Up Your Project Workspace

Antigravity works best when it has a clear understanding of your project structure. Create a workspace configuration file in your project root:

cd ~/projects/my-app
openclaw antigravity init

This generates an .antigravity/config.yaml file in your project:

# Project-specific Antigravity configuration
project:
  name: "my-app"
  language: "typescript"
  framework: "next.js"
  test_runner: "vitest"
  style: "tailwind"

# Define what the agent can and cannot modify
boundaries:
  writable:
    - "src/**"
    - "tests/**"
    - "public/**"
  read_only:
    - "package.json"       # Agent can read but not modify directly
    - ".env"               # Secrets are off-limits
  forbidden:
    - ".git/**"            # Never touch git internals
    - "node_modules/**"    # Managed by package manager only

# Agent behavior
preferences:
  commit_style: "conventional"    # conventional commits format
  test_before_commit: true        # always run tests before committing
  max_file_size: 500              # lines — break up large files
  documentation: "inline"         # prefer inline comments over separate docs

This configuration is critical. It tells Antigravity's agents exactly what they are allowed to touch, what coding conventions to follow, and what quality gates to enforce.

Step 5: Understanding the Agent Roles

When OpenClaw delegates a coding task to Antigravity, it does not just spin up a single agent. It activates a team of specialized agents, each with a distinct role:

The Builder Agent

This is the primary code generator. It takes a task description (e.g., "Add a dark mode toggle to the settings page") and produces implementation code. It writes the components, updates styles, and modifies routes as needed.

The Reviewer Agent

After the Builder finishes, the Reviewer automatically inspects the output. It checks for:

Logic errors and edge cases
Security vulnerabilities (SQL injection, XSS, etc.)
Performance anti-patterns
Adherence to your project's coding conventions

If the Reviewer finds issues, it sends feedback to the Builder, which revises the code. This loop continues until the Reviewer approves.

The Debugger Agent

When tests fail or runtime errors are detected, the Debugger takes over. It reads error logs, traces the call stack, identifies the root cause, and proposes a fix. It can also add targeted test cases to prevent regression.

The UX Designer Agent

For frontend tasks, this agent focuses on visual quality. It evaluates the UI output, suggests improvements to spacing, color contrast, and responsiveness, and can generate alternative design variants for you to choose from.

Step 6: Your First Autonomous Coding Session

With everything configured, let's run a real task. You can issue commands to OpenClaw through any connected interface—terminal, Slack, WhatsApp, or Discord.

Example: Adding a Feature

You: "Hey OpenClaw, add a contact form to my Next.js app with 
     name, email, and message fields. Include form validation 
     and send submissions to my API at /api/contact."

Here is what happens behind the scenes:

OpenClaw receives your message and recognizes it as a coding task.
Orchestration: OpenClaw creates a plan — it needs a form component, an API route, validation logic, and a test.
Delegation: OpenClaw passes the plan to Antigravity's Builder Agent.
Execution: The Builder writes src/components/ContactForm.tsx, src/app/api/contact/route.ts, and tests/contact-form.test.ts.
Review: The Reviewer Agent checks the code for XSS vulnerabilities in the form inputs and validates that the API route handles errors gracefully.
Testing: OpenClaw runs npm test in the Docker sandbox to verify everything passes.
Report: OpenClaw sends you a summary: "Done! Added ContactForm component with Zod validation and API route. All 4 tests passing. Ready for your review."

The entire process takes 2–5 minutes depending on complexity. You did not write a single line of code.

Example: Debugging a Failure

You: "The login page is broken. Users are getting a 500 error 
     after submitting credentials."

OpenClaw checks the recent error logs and application state.
Delegation: It passes the error context to Antigravity's Debugger Agent.
Analysis: The Debugger traces the 500 error to a null reference in the session handler—a recent dependency update changed the return type.
Fix: The Debugger writes a patch and an additional test case.
Verification: Tests are run in the sandbox. All pass.
Report: "Fixed! The next-auth v5.2 update changed getSession() to return null instead of undefined for unauthenticated users. Patched the null check in auth.ts and added a regression test."

Step 7: Overnight Development Workflows

The real power of this setup emerges when you configure overnight workflows. Before you go to sleep, you can queue up an entire feature backlog:

You: "Tonight, I need you to:
     1. Refactor the database queries in /src/lib/db to use 
        prepared statements
     2. Add pagination to the /articles API endpoint
     3. Write unit tests for the payment processing module
     4. Update the README with the new API documentation"

OpenClaw will work through each task sequentially (or in parallel, depending on your max_concurrent_agents setting), using Antigravity for all coding work. By morning, you'll have a detailed report of what was completed, what tests were run, and any decisions that need your input.

Security Best Practices

Connecting an autonomous coding agent to your development environment is powerful but requires care:

Always sandbox: Keep sandbox: true in your config. This runs all generated code inside Docker before it touches your host filesystem.
Use boundaries: The boundaries section in your project config is your first line of defense. Never give the agent write access to .env, .git, or configuration files containing secrets.
Enable HITL for deploys: Allow the agent to write and test code autonomously, but require Human-in-the-Loop confirmation before any git push or deployment command.
Review before merging: Even with the Reviewer Agent enabled, always do a final human review on critical code paths. The agents are excellent but not infallible.
Rotate credentials: If you revoke the Antigravity OAuth token, regenerate it. Do not reuse stale credentials.

# Recommended safety settings in config.yaml
antigravity:
  sandbox: true
  require_approval:
    - git_push
    - deploy
    - env_modify
    - package_install

Troubleshooting Common Issues

"Antigravity bridge not responding"

Ensure the Antigravity application is running and your OAuth token has not expired. Re-authenticate with openclaw antigravity auth.

"Model quota exceeded"

Even with free access, Antigravity has rate limits during peak hours. Switch to your local Ollama model as a fallback by setting fallback_model: "ollama/deepseek-coder" in your config.

"Agent modified files outside boundaries"

Review your .antigravity/config.yaml boundaries. If a file was modified that should not have been, add it to the forbidden list and report the issue.

"Tests failing after agent changes"

Ensure your test runner is correctly configured in the project config. The agent relies on your test_runner setting to know how to execute tests.

Conclusion

The combination of OpenClaw and Antigravity represents a paradigm shift in software development. You are no longer a developer who writes every line. You are an engineering director who defines requirements, reviews output, and makes strategic decisions—while a team of specialized AI agents handles the implementation.

The setup takes about 20 minutes. The productivity gain is measured in multiples, not percentages.

Configure it once. Let it run. Wake up to working code.

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