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AgentRewind: Recoverable Execution for Long-Horizon LLM Agents

arXiv cs.AI LLM Agents Yu Zhuang, Kefei Chen, Yitong Duan, Shuxin Zheng, Jian Li, Xu-Yao Zhang 2026-08-14
Representative image for AgentRewind: Recoverable Execution for Long-Horizon LLM Agents

TL;DR - AgentRewind is a runtime recovery framework that checkpoints both agent context and environment state, enabling long-horizon LLM agents to roll back after errors and retry with knowledge from failed attempts.

  • Aligns checkpoints across the agent’s context and its controlled environment.
  • Addresses error propagation after failures occur, rather than relying only on prevention.
  • Introduces MettleBench for measuring completion and partial progress on multi-requirement engineering tasks.
  • Improves task success and checklist progress across multiple models, execution strategies, and agent harnesses versus tested baselines.

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