GLM-5.1: Towards Long-Horizon Tasks

There is a lack of open-source frameworks specifically optimized for the long-horizon reasoning architectures proposed in the GLM-5.1 paper. Developers should build a modular library that implements the memory-efficient trajectory planning components described to enable agents to handle tasks requiring thousands of steps.

Suggested repo: longchain

"Stop your agents from forgetting their goals—an open implementation of long-horizon state planning."

Estimated effort: 80h