QuiGuard
Selfhosted proxy; scrubs secrets from AI Agent tool calls.
What it does
QuiGuard is a security layer for AI Agents. It sits between your agent and the LLM to ensure sensitive data (PII, API Keys) never leaves your network. Core Features: Tool Call Scrubbing: Detects secrets inside JSON arguments before execution. Inbound Filtering: Sanitizes tool responses (Jira/SQL data) before it hits the LLM context. Clean Logs: Ensures your observability tools (LangSmith/Arize) stay clean of PII. Self-Hosted: Docker-ready. Stop debugging with redacted logs. Build agents safely.
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Your AI agent hits an infinite loop and racks up $2000 in API charges overnight. This happens weekly to AI developers. AgentGuard monitors API calls in real-time and automatically kills your process when it hits your budget limit. How it works: Add 2 lines to any AI project: const agentGuard = require('agent-guard'); await agentGuard.init({ limit: 50 }); // $50 budget // Your existing code runs unchanged const response = await openai.chat.completions.create({...}); // AgentGuard tracks costs automatically When your code hits $50 in API costs, AgentGuard stops…
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The only way to go fast is full YOLO mode in your coding agent. I've got the local sandbox figured out (pro tip: Incus VMs work great) but I wanted to keep my agents from doing things like inadvertently blowing up my cloud services or chasing a prompt to POST to some random website. I struggle most with this on my side projects where my permission model isn't quite as robust as it is at the office. I started with a firewall on the Incus container but every time the agent needed access to something new, I was poking more holes in it - and it didn't differentiate between HTTP verbs. I've been…
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