by codescan-ai · Agent Tool · ★ 59
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CodeScanAI CodeScanAI utilizes a variety of AI models to scan your codebase for security vulnerabilities. It leverages powerful LLM models to identify risks and provide actionable remediation suggestions. The currently supported AI providers include: OpenAI, Google Gemini, and custom self-hosted AI servers (Ollama, etc.). It has been designed to integrate seamlessly into CI/CD pipelines like GitHub Actions, or can be used via a simple CLI command locally. Check out the detailed demo and setup and try it out today! What's new in v0.1.2 Pydantic-AI agent scanner: Files are now scanned one at a time by a structured AI agent, returning typed output instead of a raw markdown string. Inline PR review comments: When running a PR scan, findings are posted as inline review comments directly on the relevant line in the diff. Falls back to a regular issue comment for architectura
| Stars | 59 |
| Forks | 6 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 60.516/100 |
| Open Issues | 7 |
| Last Updated | 2026-06-15 |
| Created | 2024-08-25 |
| Platforms | gemini, python |
| Est. Tokens | ~8k |
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codescan is CodeScanAI is an open source tool that utilizes powerful AI models (OpenAI, Gemini, and even self-hosted servers) to scan your codebase for possible security vulnerabilities.. It is categorized as a Agent Tool with 59 GitHub stars.
codescan is primarily written in Python. It covers topics such as ai, automation, code-scanning.
You can find installation instructions and usage details in the codescan GitHub repository at github.com/codescan-ai/codescan. The project has 59 stars and 6 forks, indicating an active community.
codescan is released under the MIT license, making it free to use and modify according to the license terms.
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