layerAI

What it does

Hi — I'm building a permission decision layer for AI agents that sits between tool calls and execution. It’s already live and being tested. I’m exploring whether this could help teams working on agent/tool safety, especially when interacting with external tools. If you think it’s relevant, would you be open to taking a quick look and giving feedback? Or, if more appropriate, would you feel comfortable introducing me to someone on your team? No pressure at all 🙂

The Managed Policy Engine for AI Agents. Centralized permission control via SDK for agents interacting with tools, APIs, and databases. layer.AI acts as a decision layer. We do not execute any actions; we simply respond with Allow or Deny. Managed Service: Clients don't need to write policy files or manually configure rules. We handle everything. We do not store business logic or full tool call payloads. Decisions are primarily based on action and resource identifiers. AI Agents may perform unintended actions, such as deleting data or accessing confidential information without supervision. Standard tool-calling mechanisms lack a built-in security layer between the agent and your critical…from auto55597.github.io

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