AgentGuard
AgentGuard is an open-source Python security framework for AI agents, built in direct response to the "Clinejection" attack that compromised 4,000 developer machines via a malicious GitHub issue.
About
AgentGuard is an open-source Python security framework for AI agents, built in direct response to the "Clinejection" attack that compromised 4,000 developer machines via a malicious GitHub issue. It detects and blocks prompt injection, command injection (npm install, curl | bash, rm -rf), Unicode bypass attacks (Cyrillic homoglyphs, zero-width characters), social engineering patterns, and encoding/obfuscation techniques — with a surgical sanitization approach that preserves legitimate content while neutralizing threats.
Python-based AI agent developers who want layered defense against prompt injection and supply-chain attacks — particularly teams whose agents process external content like GitHub issues, user inputs, or web-scraped text where Clinejection-style attacks are a real risk.
Pros & Cons
Pros
- check Purpose-built for a documented real-world attack vector (Clinejection), not hypothetical threats
- check Covers an unusually broad threat surface: command injection, prompt injection, Unicode homoglyph attacks, base64/hex obfuscation, and GitHub issue screening
- check Python library with a clean API — `guard.analyze_text()` and `guard.analyze_github_issue()` return structured threat level and risk score
- check Surgical sanitization: replaces detected threats while preserving legitimate content rather than blocking entire inputs
- check Rate limiting and real-time security logging built in
Cons
- close Early project (initial commit March 2026, 1 commit total) — not battle-tested in production
- close Python only — no native support for Node.js/TypeScript agent runtimes
- close Rule-based detection may have high false positive rates; adversarial inputs evolve faster than pattern lists
- close Small team (numbergroup) with no documented maintenance commitment or security advisory process
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