Put a Lobster Between Your AI and Its APIs

What it does

ClawVault runs as a transparent proxy gateway between your AI tools and external APIs like OpenAI or Anthropic. It inspects outbound traffic for sensitive data leaks—API keys, passwords, PII, credit cards, and more than a dozen other patterns—and can auto-sanitize them by replacing secrets with placeholders before they leave the wire. It also logs access, enforces token budgets, and offers a web dashboard to configure per-agent rules and review interception records.

The interesting bit

Instead of static configuration files, the project frames security policies as composable “atomic capabilities” that stack like building blocks; you can even describe a rule in natural language via a chat interface and have the system attempt to generate and enforce it. The whole thing is wrapped in a slightly unhinged “Security Lobster” brand that notifies you when an agent touches your vault.

Key highlights

• Transparent proxy intercepts traffic to major LLM APIs without requiring client rewrites
• Detects 15+ sensitive data patterns and auto-sanitizes them, restoring values on the response path
• Blocks prompt injection, role hijacking, and dangerous shell commands like rm -rf or curl | bash
• Supports natural-language policy generation: describe constraints in chat and the system builds the rule
• SQLite-backed audit log with daily/monthly token budgets and real-time cost alerts

Caveats

• File-side monitoring, full agent-level atomic control, and generative policy orchestration are all marked as work-in-progress
• The documentation emphasizes installation as an OpenClaw Skill; standalone Python usage exists but feels like a secondary path

Verdict

Evaluate it if you run local or self-hosted AI agents that touch customer data or execute generated code, and you want a single-node gatekeeper with a web UI. Skip it if you need mature file-system monitoring today or already have enterprise API security layers.