Headlong from Laude's Slingshots batch is a microharness for persistent agents
lateinteraction · x · 2026-10-21
Headlong, a project from Laude Institute's Slingshots // FOUR batch by Nick Jalbert, Braden Hancock, Noah Ziems, and Andy Konwinski (Laude Institute, MIT), is a microharness for persistent agents — letting agents keep state and agency across long-running tasks. It exemplifies the batch's focus on agent harnesses over raw models.
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