Show HN: VajraClaw – Deterministic <1µs execution guardrail for AI agents (github.com)

DROS has launched VajraClaw Hacker Edition, a free Docker governance gateway that enables enhanced execution security for autonomous AI agents across various platforms including Google Antigravity and OpenAI Codex. Unlike traditional probabilistic security methods which are prone to prompt injection attacks and latency issues, VajraClaw offers a deterministic runtime environment. It emphasizes compile-time intelligence with a microsecond decision-making latency (<1µs), effectively blocking unauthorized system calls before execution. This addresses critical vulnerabilities in AI operations by ensuring strict adherence to predefined policies, providing a significant improvement in runtime security for developers and researchers. The gateway not only promises immediate and reliable execution control but also features cryptographic agent identity binding through Ed25519 signatures, audit logging with a SHA-256 hash chain, and the capability to govern multiple active agents within a single host environment. Its open-source nature, combined with support for community use, makes it a valuable tool for the AI/ML community looking to enhance security while maintaining operational efficiency. By offering non-repudiable audit trails and robust permission management, VajraClaw could set new standards for AI agent governance and security practices in the industry.