Pack Light, CarryOn: Building Object-Oriented Context for Long-Horizon Agents
[Sztuczna inteligencja] Autorzy: Yuchen Lu, Julian McAuley, Lei Zhang
Long-horizon agents accumulate progress in persistent task state, yet repeatedly process interaction histories describing how that progress was achieved. This raises a natural question: can long-horizon context instead be organized around reusable progress rather than the history that produced it? In this paper, we introduce CarryOn, an object-oriented context runtime that organizes continuation around reusable task objects. Rather than treating compressed histories or reconstructed accounts of progress as the primary basis for continuation, CarryOn builds a context view from continuation carriers, complementary execution context, and a live tail of recent interactions. A core challenge is keeping this reusable basis valid after its surrounding history is retired: how can CarryOn update the basis without reconstructing the full representation at every fold? CarryOn maintains carrier rec…
- Kategoria arxiv
- cs.AI
- Kategoria
- Sztuczna inteligencja