Agnost AI

Teams running AI agents in production have no reliable way to know when their agents fail or degrade after deployment. Without continuous monitoring, issues surface only when users complain or outcomes silently worsen, and fixing them requires engineers to manually trace tool calls, diagnose root causes, and write patches. This reactive cycle is slow and leaves agents stagnant rather than improving over time.

Agnost AI connects to a team's coding project and monitors AI agents once deployed, automatically detecting failures in production. It runs experiments to test potential fixes and then opens a pull request with the fix, creating a continual self-improvement loop for the agent. The product integrates directly with coding agents like Claude, Codex, or Cursor through an installable skill (`npx skills add AgnostAI/skills --skill agnost-ai`), which adds Agnost AI analytics to a project. The site also shows a dashboard-style view tracking tool calls, answers, and refunds as part of its monitoring output.