ClawVault
ClawVault is a transparent proxy gateway that sits between your AI tools and the API, enforcing security policies, detecting sensitive data, blocking dangerous commands, and tracking token spend in real time.
About
ClawVault is a security vault system for OpenClaw agents that acts as a transparent proxy intercepting all AI API traffic before it reaches the model. It provides a real-time dashboard for monitoring agent activity and model calls, fine-grained permission controls at the agent level, and natural language policy creation through a chat interface. Detection covers sensitive information including API keys, passwords, PII, and credit card numbers — anything flagged is automatically replaced with a placeholder before leaving the system. Prompt injection and role-hijacking attacks are also blocked at the proxy layer. Daily and monthly token spending limits with cost tracking make it equally useful as a budget guardrail.
Security-conscious teams and enterprises running OpenClaw agents in production who need audit trails, data loss prevention, and spend controls — particularly where agents handle sensitive customer data or have access to internal systems.
Pros & Cons
Pros
- check Transparent proxy approach means zero changes required to existing agent code — just point traffic through ClawVault
- check Natural language policy creation lowers the barrier to setting security rules without writing config syntax
- check Detects and redacts a broad set of sensitive data types (API keys, passwords, PII, credit cards) automatically
- check Blocks prompt injection and role-hijacking attacks before they reach the model
- check Token spend tracking with daily/monthly limits works as a cost guardrail alongside the security features
Cons
- close GitHub-hosted open source project — no managed cloud offering means self-hosting and maintenance falls on the operator
- close Proxy layer adds latency to every API call, which may be noticeable in latency-sensitive workflows
- close Policy enforcement through a chat interface is convenient but may not satisfy teams needing formal policy-as-code formats
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