Agent Workflow Memory

Study / Research

A paper detailing a method for self-improving agents that learn from past successful workflows stored in memory.

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Best of 2024 in Agents (from #1 on SWE-Bench Full, Prof. Graham Neubig of OpenHands/AllHands)

Best of 2024 in Agents (from #1 on SWE-Bench Full, Prof. Graham Neubig of OpenHands/AllHands)

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A paper detailing a method for self-improving agents that learn from past successful workflows stored in memory.