About

About rightmodeler

Measured evidence over guesswork, for the models your agents run on.

rightmodeler is an open-source tool for teams running multi-agent LLM systems. It measures how closely cheaper candidates match the outputs you already accepted, one call at a time.

The mission is simple: no model decision on vibes. rightmodeler detects inefficient calls, measures candidates against what you already shipped, and reports the evidence, sample size, and abstentions before applying an edit you approve. A report and an edit, never a runtime gateway.

rightmodeler is an ELM-OS project. The skill is available today; rightmodeler agent, which ships swaps as pull requests, and Crucible, the analytics and optimization suite, are built on the same evidence loop and coming next.

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FAQ

What is rightmodeler?
An open-source tool for teams running multi-agent LLM systems. It replays your own traces through cheaper candidates, measures each result against the output you accepted, and reports the evidence, sample size, and abstentions before you approve a repo edit.
Is it open source?
Yes, MIT licensed. The rightmodeler skill is on GitHub and free to run, fork, and modify on your own traces today. rightmodeler agent, which opens evidence-backed swap PRs, and Crucible, the analytics and optimization suite, are the products being built on top of it.
How is it different from observability or a gateway?
Observability shows you problems; a runtime gateway intercepts live traffic. rightmodeler replays candidates against accepted outputs, reports the evidence and abstentions, and applies only the edits you approve. Nothing runs in your request path.