Add model card

README.md

@@ -0,0 +1,19 @@
+---
+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](https://huggingface.co/papers/2607.28272).
+
+**Paper**: [arXiv](https://arxiv.org/abs/2607.28272) | [Hugging Face Paper](https://huggingface.co/papers/2607.28272)
+
+**Code**: [https://github.com/KnowledgeXLab/MemHarness](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](https://arxiv.org/abs/2607.28272) for full details.