guardvibe vs opengrep

Security scanning for AI-assisted development and source code

guardvibe and opengrep both help find security issues in code. guardvibe focuses on local checks for AI-assisted development, including prompts and repository configuration, while opengrep provides customizable, multi-language static analysis with Semgrep-compatible rules.

guardvibeopengrep
LanguageTypeScriptOCaml
LicenseApache-2.0LGPL-2.1
Stars53.1k
Forks0272
Last analyzedOct 4, 2026Oct 7, 2026

Key differences

  • guardvibe targets AI-assisted web development with CLI and MCP tools; opengrep is a general-purpose SAST engine for developers and security teams.
  • guardvibe checks code, dependencies, secrets, configuration, and authentication coverage; opengrep scans source code against customizable YAML rules and provides intrafile taint analysis.
  • guardvibe is written in TypeScript and requires Node.js 18 or later; opengrep is written in OCaml and offers self-contained binaries.
  • guardvibe is licensed under Apache-2.0; opengrep is licensed under LGPL-2.1.
  • guardvibe supports prompt analysis, staged-file scans, pre-commit hooks, and GitHub Actions; opengrep emphasizes multi-language rule-based scanning and JSON or SARIF exports.
  • The supplied repository metadata lists 5 stars for guardvibe and 3.1k for opengrep; both projects are not archived.

Choose guardvibe if you…

  • want local security feedback while building with an AI coding agent.
  • need checks for prompts, dependencies, secrets, configuration, or authentication coverage in a repository.
  • want staged-file scans, pre-commit hooks, or GitHub Actions for AI-generated changes.
Read the guardvibe analysis →

Choose opengrep if you…

  • need customizable or Semgrep-compatible rules for static analysis.
  • scan code across multiple languages and want intrafile taint analysis.
  • want JSON or SARIF findings for downstream development or security tools.
Read the opengrep analysis →

Compare the numbers side by side, or add more projects

This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.