2 papers
cs.AI2026
RefCon: Iterative Refinement and Contrastive Memory Extraction for Context-Evolving Agent
Ubaidillah Ariq Prathama, Bo Liu, Yeo Boon Hong +3
Long-horizon agent interactions generate useful but noisy experience, and retraining models to absorb it is expensive. Context-evolving agents therefore need memory extraction meth…
cs.AI2026
openJiuwen: Beyond Static Harnesses for Long-Horizon Coding Agents
openJiuwen Team, Tao Yu, Xinyu Zhang +17
Long-horizon coding agents operate over evolving repository states while increasingly relying on heterogeneous capabilities, delegated agents, and multi-agent coordination. These t…