AI AGENT SECURITY - Block dangerous AI agent actions before execution

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Most AI security tools filter prompts before they reach the model. Relay checks the action instead. It sits between your agent and its tools, validating GitHub calls, shell commands, database queries, API requests, MCP tools, and deploys before execution. Risky actions are blocked, safe actions continue, and every decision is logged.

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Hey, founder here 👋 I built Relay because of something that happened to me directly. I was building a custom Python agent and gave it database access to handle a routine task. One bad instruction later, it exposed live credentials. No warning. No checkpoint. The agent just decided, then acted. I found out after the fact. What surprised me most while fixing it wasn't the complexity — it was how easy it was to break. Agents don't need to be hacked. They just need one ambiguous instruction and access to a tool that can do real damage. I built relay to solves this problem: every tool call should pass through a policy gate before it executes. Allowed or blocked. Logged either way. No agent code changes needed after the initial wrap. That's Relay. A runtime checkpoint between your agent and the tools it calls — GitHub, shell, databases, deploys. It doesn't matter which model or framework you're using. If your agent can call a tool, Relay can protect it. Open source. One command to set up. Would love feedback from anyone shipping agents into production — especially if you've had a close call of your own.