# Long-Horizon Agent Benchmarks

Remory trains a neural memory network to append a bounded sequence of soft memory tokens after a generated summary, helping a frozen LLM approximate the continuation it would produce with the full history; on SummHay it raises citation F1 by 4.04 points and joint score by 3.55 using about 5.2% of input positions, and yields consistent gains for Qwen3.8-27B and GLM-5.3-Flash on long-horizon agent benchmarks while reducing repeated tool outputs and tool errors.

Remory trains a neural memory network to append a bounded sequence of soft memory tokens after a generated summary, helping a frozen LLM approximate the continuation it would produce with the full history; on SummHay it raises citation F1 by 4.04 points and joint score by 3.55 using about 5.2% of input positions, and yields consistent gains for Qwen3.8-27B and GLM-5.3-Flash on long-horizon agent benchmarks while reducing repeated tool outputs and tool errors.