ReSum

ReSum periodically condenses interaction history into summaries so an agent can continue longer tasks. The basic method works without training; ReSum-GRPO uses reinforcement learning to adapt agents to reasoning over the compressed context.

Source: ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization.

Referenced in An Empirical Study of Harness Design for Coding Agents.