If you have ever pointed a coding agent at a multi-day goal, you know the failure mode. It is not that the model writes a bad function. It is that on turn 40, the agent no longer remembers what the objective was, which decision you already made, what is out of scope, or what the last run actually proved. The context window rolled over, and the plot went with it.
LoopX is an attempt to fix that specific problem. It calls itself "loop engineering for long-running AI agents," and it is a local control plane that sits above your agent runtime rather than replacing it.
The one-sentence version
Your agent (Codex, Claude Code, Cursor, whatever) executes bounded loops. Something (a heartbeat, a cron job, you hitting enter) triggers the next loop. LoopX holds the state that has to survive between those loops.
The project draws the separation like this:
