How to fix Antigravity hangs due to high memory consumption on Windows x64?

Your Antigravity app freezes after a few prompts and the language server spikes RAM on Windows x64. Projects with very large source files and a root level workspace trigger heavy indexing, heat, and eventual hangs.

Antigravity freezes with language server high memory on Windows x64

When opening a large project at the root level, Antigravity’s language server rapidly consumes memory and the app becomes unresponsive. Users reported files over one thousand lines, device heat, and lockups that started after an update.

Solution Overview

Aspect	Detail
Aspect	Detail
Root Cause	The language server scans and indexes very large files and the entire root workspace which exhausts RAM on Windows x64
Primary Fix	Split giant source files into smaller modules and open only a focused subfolder so the language server indexes less content
Complexity	Medium
Estimated Time	30 to 90 minutes

For a Windows specific checklist including memory and thermal controls, see our Windows x64 memory guide.

Fix language server memory spikes by modularizing large source files

Step by Step Solution

Step 1. Identify oversized files

• Open your editor or IDE and sort files by line count or use code outline to spot files exceeding several hundred lines.
• Target anything near or above one thousand lines first since these cause heavy parsing and symbol indexing.

Step 2. Refactor into modules

• Break long files into cohesive modules and packages. Keep files focused on a single responsibility.
• Example structure for Python

* src * app * __init__.py * config.py * api * __init__.py * handlers.py * validators.py * services * __init__.py * storage.py * auth.py * ui * __init__.py * views.py * widgets.py

• Apply the same idea for other languages by splitting features into folders like api services utils and ui.

Step 3. Limit the workspace scope

• Instead of opening the entire repository root, open only the subfolder that contains the code you are actively editing.
• This reduces the indexing surface and immediately lowers memory usage.

Step 4. Exclude heavy folders from indexing

• In your editor settings exclude build dist out coverage node_modules .git .cache logs and large data folders.
• Example for a settings.json style configuration

{
 "files.exclude": {
 "node_modules": true,
 "dist": true,
 "build": true,
 ".git": true,
 ".cache": true,
 "logs": true
 },
 "search.exclude": {
 "node_modules": true,
 "dist": true,
 "build": true
 }
}

• If Antigravity offers a workspace or language settings file, add the same patterns there.

Step 5. Restart Antigravity and the language server

• Fully quit the app, then reopen the smaller subfolder workspace.
• Confirm memory settles shortly after the initial warm up.

Step 6. Verify improvements

• Watch memory and CPU while you edit and prompt. Stable usage indicates the indexer now has a manageable scope.

More Windows x64 tuning tips for Antigravity

Alternative Fixes and Workarounds

Open only a focused subfolder

• Many users saw instant relief by working in a narrower subfolder rather than the repository root.

Rollback or update Antigravity

• If the issue started immediately after an update, install an earlier stable build or update to the latest patch if one is available.

Increase virtual memory on Windows

• Set virtual memory to be managed automatically or raise the size to prevent out of memory conditions. See Microsoft guidance on virtual memory: Manage virtual memory.

Temporarily disable heavy code intelligence

• Turn off features like deep semantic analysis code lenses and symbol search while you refactor files.

Close other memory hungry apps

• Browsers with many tabs and containerized runtimes can starve the language server.

If your issue coincides with backend load or connection problems, see our tips on handling server traffic errors.

Troubleshooting Tips

• Check Task Manager for a single language server process ballooning memory. If it does, you still have oversized files or too broad a workspace.
• Remove large binary artifacts from source folders. Keep images datasets and archives outside the workspace or ignored.
• Clear the app cache then relaunch.
• Confirm antivirus is not scanning the workspace aggressively. Add safe exclusions if needed.
• Test in a clean profile or a new workspace to rule out extension conflicts.
• If login or provisioning fails during reinstall, review our notes on account eligibility problems.

For background on why editors spike memory while parsing code indexes and symbols, see the Language Server Protocol overview: Language Server Protocol.

Best Practices

• Keep source files short and focused. Aim for a few hundred lines per file and extract helpers into libraries.
• Use project subfolders to work on specific components rather than the monorepo root.
• Maintain ignore patterns for build outputs dependencies caches and logs.
• Document module boundaries to encourage ongoing modular design.
• Adopt code review checks or automated lint rules that flag oversized files.

Final Thought

The hang was caused by the language server doing heavy work on a very large workspace and oversized files. By modularizing code and narrowing the workspace, you reduce indexing pressure, cool the device, and keep Antigravity responsive.