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
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!
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