MemToolAgent overview with a simple restaurant booking scenario where the agent retrieves similar memories, receives feedback on an invalid time format, and generates a reflection to update its memory

In three linesMemToolAgent improves LLM agent tool use through structured memory management. The framework extracts past experiences into memory entries, dynamically retrieves relevant ones, and generates reflections from user feedback. Achieves 29%, 80%, and 17% relative improvements on WorkBench, NESTFUL, and PEToolBench without fine-tuning.

Summary generated by Claude — human-verified