Add model card and metadata (#1)

- Add model card and metadata (11e2109a22c15e03618b3868cf32b2d4f1c713fb)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

README.md

@@ -1,3 +1,42 @@
----
-license: apache-2.0
----
+---
+license: mit
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- reasoning
+- tool-use
+- agent
+---
+
+# DeepAgent: A General Reasoning Agent with Scalable Toolsets
+
+DeepAgent is an end-to-end deep reasoning agent that performs autonomous thinking, tool discovery, and action execution within a single, coherent reasoning process. It is designed to overcome the limitations of traditional, predefined workflows by maintaining a global perspective on tasks and dynamically discovering tools.
+
+- **Paper:** [DeepAgent: A General Reasoning Agent with Scalable Toolsets](https://huggingface.co/papers/2510.21618)
+- **Repository:** [GitHub - RUC-NLPIR/DeepAgent](https://github.com/RUC-NLPIR/DeepAgent)
+
+## Key Features
+
+- **Unified Agentic Reasoning**: DeepAgent operates in a single stream of thought, autonomously reasoning about the task and discoverying necessary tools.
+- **Autonomous Memory Folding**: To handle long-horizon interactions, DeepAgent introduces a mechanism that compresses past interactions into structured episodic, working, and tool memories, reducing context explosion while preserving critical information.
+- **ToolPO Strategy**: An end-to-end reinforcement learning strategy tailored for general tool use, utilizing LLM-simulated APIs and fine-grained credit assignment for tool invocation.
+
+## Performance
+
+Extensive experiments on eight benchmarks, including general tool-use tasks (ToolBench, API-Bank, TMDB, Spotify, ToolHop) and downstream applications (ALFWorld, WebShop, GAIA, HLE), demonstrate that DeepAgent consistently outperforms baselines across both labeled-tool and open-set tool retrieval scenarios.
+
+## Citation
+
+If you find this work helpful, please cite the paper:
+
+```bibtex
+@misc{deepagent,
+      title={DeepAgent: A General Reasoning Agent with Scalable Toolsets}, 
+      author={Xiaoxi Li and Wenxiang Jiao and Jiarui Jin and Guanting Dong and Jiajie Jin and Yinuo Wang and Hao Wang and Yutao Zhu and Ji-Rong Wen and Yuan Lu and Zhicheng Dou},
+      year={2025},
+      eprint={2510.21618},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI},
+      url={https://arxiv.org/abs/2510.21618}, 
+}
+```