I have been building an open source tool called Agentic Ledger and it just reached the point where I need more eyes on it than my own. This post is an introduction and an ask.
The problem
AI agents run unattended. They call LLMs in loops, use tools, spawn sub-agents, and spend real money, and most of that happens where you cannot see it. When an overnight coding loop burns $40 getting stuck on the same failing test, or a multi-agent crew quietly retries itself into a huge bill, you usually find out from the invoice.
The observability tools that exist mostly want you to instrument your code with an SDK, and each one speaks one framework. I wanted the opposite: something that watches everything, requires changing nothing, and keeps the data on my machine.
What it is
