I scanned my PC and found 457 AI agents — here's what I built to manage them

XzWy JIA — Tue, 02 Jun 2026 08:35:47 +0000

The Discovery

I've been using AI coding agents heavily — Claude Code, Codex, Pi Agent. One evening I asked myself: how many agent-related files are actually on this machine?

I wrote a scanner. The result: 457 assets. Configs, API keys, model caches, permissions — scattered across directories I didn't even know existed.

The Problems

Discovery — No single view of all agents
Routing — Simple queries hitting expensive models
Spending — Zero cost visibility per agent
Security — API keys in plaintext, broad permissions

The Solution: AMA

I built AMA (Agent Management Application):

ama scan → find every agent
ama route → auto-select the right model
ama spend → track costs per agent/team/project
ama audit → security report

How It Works

AMA hooks into Claude Code, Codex, and Pi Agent's configuration layers. It reads their agent definitions, tool permissions, and model routing rules — then surfaces everything in a single dashboard.

It also includes a lightweight router that intercepts model calls and redirects them based on rules you define. Simple refactoring → cheap model. Complex architecture → powerful model. Security-sensitive → local-only.

Open Source

MIT license. Built for devs who want visibility over their growing agent fleet.

GitHub: https://github.com/xzwyjia-pixel/ama
Try it: https://ama-agent-store.vercel.app

Would love your feedback and contributions.

I Scanned My PC for AI Agents — Found 457 of Them

XzWy JIA — Mon, 01 Jun 2026 18:12:11 +0000

After using Claude Code, Codex, and Pi Agent for months,
I wondered: how many AI agents are on my machine?

I built a scanner. Here's what it found:

Framework	Active	Archived
Claude Code	192	191
Codex CLI	37	0
Pi Agent	8 sub-agents	12 scripts
MCP Servers	8	-
Total		448+

The Waste

Duplicate calls: Same prompt → 3 agents (8-18% waste)
Overqualified models: Simple tasks on expensive models (15-25% waste)
Cache fragmentation: No shared prompt cache (12-20% waste)
Zombie agents: Archived still indexed (2-8% waste)

→ 30-50% of AI API spend is wasted.

The Fix

AMA — Agent Management Agent


bash
pip install ama-core && ama scan && ama start
Scans all agents across frameworks
Smart routing (simple task → cheap model)
Lifecycle management
Local dashboard at localhost:8765
Free calculator: ama-agent-store.vercel.app/calculator

MIT licensed. Feedback welcome!

DEV Community: XzWy JIA