Building an OpenClaw Security Vault for AI Agents

Once AI agents start using tools and external APIs, the engineering problem changes. It is no longer only about output quality. It becomes a runtime problem: how do you inspect traffic, detect risky behavior, limit what the system can do, and keep token spend under control? That is the angle ClawVault takes. According to the current repository README, ClawVault is an open-source OpenClaw Security Vault for AI agents and AI applications, centered on three ideas: Visual Monitoring Monitoring AI agents and model invocations. Atomic Control Applying finer-grained control over agent capabilities and permissions. Generative Policies Using natural language to define policy logic. What makes the repo more concrete is that it also lists the operational features around those ideas: sensitive data detection prompt injection defense dangerous command guard auto-sanitization token budget control real-time dashboard The architecture shown in the README is also useful because it makes the