LocalForge

Key Features

• •Layer 1 Rust Regex scanning detects 26 secret patterns across 13 providers in under 1ms, providing instant protection against hardcoded API keys and credentials before they reach version control
• •CoreML and Apple Neural Engine integration delivers machine learning-powered security analysis with 0.754 F1 score across 11 languages, identifying subtle vulnerabilities in approximately 200 milliseconds entirely on-device
• •Qwen2.5-Coder LLM performs semantic code review for SQL injection, XSS, command injection, dead code, and logic bugs across 11 programming languages with advisory reporting that doesn't block development workflow
• •Native SwiftUI application provides real-time monitoring of commit scans across multiple repositories with live streaming from hook logs and one-click management of pre-commit hook status
• •MCP Server enables JSON-RPC 2.0 integration with IDEs like Cursor and VS Code, allowing developers to access security scan results directly within their editing environment without context switching
• •Team deployment support through generated install scripts simplifies organization-wide adoption with automatic PATH setup and consistent security enforcement across all development machines
• •Three-layer pipeline operates entirely offline in under 10 seconds per commit, combining regex, machine learning, and LLM analysis for comprehensive security without cloud dependencies

Use Cases

• •Preventing AWS secret keys from being committed in configuration files by blocking commits that contain detected credential patterns before they enter git history
• •Identifying SQL injection vulnerabilities in database queries through semantic analysis that flags raw string interpolation and suggests parameterized query alternatives
• •Catching XSS risks in JavaScript and TypeScript code by detecting unescaped user input inserted into DOM contexts during the pre-commit scanning process
• •Blocking command injection possibilities by identifying unsanitized variables passed to shell commands before they can create security vulnerabilities in production
• •Detecting dead functions and unused code across 11 programming languages to maintain clean codebases and eliminate unnecessary complexity during development
• •Surfacing unhandled errors and missing exception handlers in code commits to improve reliability and prevent runtime failures before code reaches production environments

Who is this for?

LocalForge targets development teams using macOS 14+ with Apple Silicon processors, particularly engineers working with AI coding assistants who need to maintain security standards. It serves organizations requiring local, offline security scanning for pre-commit validation without cloud dependencies. The tool is ideal for teams managing sensitive codebases where preventing credential leakage and security vulnerabilities is critical.