I built an open-source "approval gate" for AI agents — here's why

Description and use

InGravity is a lightweight approval gate for AI agents that evaluates actions before execution, blocking risky operations and providing audit and manual approval.

Problem

AI agents can perform high‑impact actions (payments, emails, file deletions) without a governance layer, risking unintended or malicious activity.

Outcome

InGravity enables pre‑execution governance for AI agents, preventing unintended high‑risk actions while remaining lightweight and self‑hosted.

Workflow

• 1. Configure rules and risk thresholds in InGravity.
• 2. Deploy InGravity locally (self‑hosted).
• 3. In an n8n workflow, call InGravity’s /check-action endpoint before performing an action.
• 4. Receive a decision (allow/blocked) and risk score.
• 5. If blocked, the n8n node halts the workflow; if allowed, the workflow proceeds.
• 6. Review decisions in the dashboard and manually approve or block pending actions as needed.

Evidence

AI agents are increasingly given real permissions — sending payments, emails, deleting files — often with little to no governance layer in between.

Source

InGravity evaluates an action against rules you configure, and returns a decision — before the action runs.

Source

A rules engine + risk scoring API (POST /check-action)

Source

No authentication on the API yet (don't expose it to untrusted networks — self-host only for now)

Source