arXiv cs.CLPaper
ContextPilot: Teaching Agents for Proactive Context Management via Fine-grained RL
Context window is still the choke point for multi-step agent work. ContextPilot adds tools beyond search-and-delete (planning, adaptive compression, long-term memory) and fixes the RL signal so the model learns which edits actually matter. If you're building agents that run for dozens of steps, this is worth testing against your baseline pipeline. Real gains probably live in the credit assignment fix.