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Layer

Hide your personal AI files from Git without touching gitignore

FreemiumCodemacOS, Windows, Linux, API
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What is Layer?

Layer is a Git utility that prevents personal AI files from being accidentally committed to repositories without requiring manual .gitignore edits. It works by intercepting Git operations and automatically filtering out specified file types or directories related to AI tools and local configurations. This is particularly useful for teams working with AI models, prompts, API keys, or local AI tool outputs that shouldn't be shared across a repository. Rather than maintaining a growing .gitignore file, Layer provides a simpler way to keep sensitive or personal AI-related files out of version control. It's designed for developers and teams who want a cleaner, more maintainable approach to excluding files that are specific to individual workflows.

Key Features

Automatic filtering of AI-related files without .gitignore modifications

Command-line interface for easy configuration and management

Support for multiple file patterns and directory exclusions

Git integration that works transparently during commit operations

Freemium model with basic functionality available at no cost

Pros & Cons

Advantages

  • Keeps repositories cleaner by reducing .gitignore complexity
  • Reduces risk of accidentally committing personal AI files or credentials
  • Works without modifying project-level Git configuration files
  • Useful for teams with varying local AI tool setups

Limitations

  • Limited to Rust/Cargo ecosystem as a crate; may require familiarity with Rust tooling
  • Requires individual setup on each machine; not a repository-level solution for team enforcement

Use Cases

Developers working with local LLM models who want to exclude model files automatically

Teams using different AI tools locally whilst maintaining a shared repository

Excluding AI-generated outputs or cache files from version control

Protecting API keys or configuration files for personal AI services

Simplifying repository maintenance for projects with diverse AI workflows