AgentLoop was created to solve a simple problem: AI agents make mistakes, humans correct them, and those corrections are usually lost.

Most teams today rely on prompt updates, documentation, tickets, or manual processes to capture what was learned. AgentLoop turns those corrections into reusable memory that future agent runs can retrieve before responding.

We’re currently working with early users to validate and improve the platform, and we’re always interested in hearing how teams are building, operating, and improving AI agents in production.

Questions, feedback, or interested in testing AgentLoop?

Hello@getagentloop.io

Or my personal: martinembon9@gmail.com