AgentRewind: Recoverable Execution for Long-Horizon LLM Agents
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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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AgentRewind: Recoverable Execution for Long-Horizon LLM Agents
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Semantic Scholar citations 3 · Semantic Scholar influential citations 0
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.