Personal Identity Agent for your Agent

#agentaichallenge #llm #programming #vercel

Solving the “AI Agent Trust Problem”

I’m excited to share the Personal Identity Agent (PIA) platform and SDK.

The Problem

AI agents are becoming increasingly powerful, but we still lack a safe, scalable way to delegate real-world tasks to them. Today, you’re forced into one of two bad options:

Give agents full access — high risk
Manually approve every action — no real automation

Neither approach scales.

The Solution

An authorization layer for AI agents — think OAuth, but for your digital life.

PIA sits between users and agents, enforcing identity, permissions, and policy before any action is taken.

How It Works

Users define policies:
- Permissions
- Spending limits
- Risk tolerance
- Domain restrictions
Agents authenticate using an OAuth-style flow
Before every action, agents call the verification API
An LLM evaluates the request against the user’s policy
Every decision is recorded in a full audit log

Developer SDK

To make adoption easy, I built a lightweight SDK that developers can drop directly into their agents.

Once integrated, the SDK handles the entire authorization layer — giving both you and your users fine-grained control without added complexity.

SDK Features

OAuth-style authorization flow
Secure token management
Action verification against user-defined policies
Full TypeScript support
Zero runtime dependencies (5.9 KB)

Proof It Works

Five small agents demonstrating real-world usage:

Get Started


bash
npm install @variant96/pia-sdk

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