AgentGuard delivers local Python code scanning with automated vulnerability resolution.

AgentGuard functions as a static analysis solution tailored for Python projects. It incorporates built-in rules alongside external engines to cover a wide range of security concerns including deserialization risks and exposed secrets. The system includes a desktop interface for interactive use and generates outputs compatible with continuous integration workflows. Users can apply the scanner through command line operations or the graphical application. It distinguishes itself by validating fixes internally to avoid introducing new problems during remediation. The entire process occurs without external data transmission. Available in free and paid tiers, the free version covers core scanning capabilities while the paid option adds advanced review and unlimited processing features. The software is distributed via package managers and supports export in standard formats for further analysis.
Run static analysis on Python projects to detect injection flaws, weak cryptography, hardcoded secrets, and deserialization issues using over 100 rules including Bandit integration.
Perform fully offline scans with a native desktop GUI that keeps all source code on the user's machine while applying LLM-based multi-agent review to confirm findings.
Integrate into CI/CD systems to automatically apply fixes for supported rule types, generate SARIF or Markdown reports, and validate changes without introducing regressions.
Pricing model: Freemium. Plan details are indicative — check the site for current prices.
Our take: AgentGuard is a solid coding & dev choice. It's valued for 100% local execution keeps code private and llm agent review reduces false positives by up to 91%. The main trade-off is free tier limited to 100 files per scan. A good pick if you want capable AI without a high upfront cost.
Yes, the tool runs 100% locally with zero telemetry and ensures code never leaves the machine.
AgentGuard is a solid coding & dev choice. It's valued for 100% local execution keeps code private and llm agent review reduces false positives by up to 91%. The main trade-off is free tier limited to 100 files per scan. A good pick if you want capable AI without a high upfront cost.
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