metadata
license: mit
library_name: transformers
pipeline_tag: text-generation
MemHarness: Memory Is Reconstructed, Not Replayed
This repository contains the model described in MemHarness: Memory Is Reconstructed, Not Replayed.
Paper: arXiv | Hugging Face Paper
Code: https://github.com/KnowledgeXLab/MemHarness
Description
MemHarness is a framework that equips LLM agents to actively harness and reconstruct past experiences based on the present context — instead of replaying retrieved memories verbatim. This model is a Qwen2.5-7B-Instruct based model fine-tuned with GRPO for memory-augmented decision making in agentic tasks such as ALFWorld and WebShop. It demonstrates state-of-the-art performance in both in-distribution and out-of-distribution scenarios.
Please refer to the paper for full details.