How I built tamper-proof audit logs for AI agents at 15

Source: Dev.to

Introduction

Software often makes promises it can’t prove it kept.

Defining Agent Permissions

A clear definition of what an agent is allowed to do is essential.

Limitations of Existing Solutions

• Post‑hoc monitoring – you discover damage only after it occurs.
• Prompt‑level guardrails – can be bypassed.

No current approach provides tamper‑proof logging at the action layer.

Solution Overview

A framework that enforces permissions and records immutable audit logs for AI agents.

Framework Integrations

• LangChain – supported now.
• CrewAI and MCP – upcoming support.

Try It

• Live demo: https://nobulex.com
• GitHub repository: https://github.com/nobulexdev/nobulex

npm install @nobulex/quickstart

Feedback

I’d love feedback on the rule language. Is permit/forbid/require intuitive? Would you design it differently?