[2602.22808] MiroFlow: Towards High-Performance and Robust Open-Source Agent Framework for General Deep Research Tasks

[2602.22808] MiroFlow: Towards High-Performance and Robust Open-Source Agent Framework for General Deep Research Tasks

arXiv - AI 3 min read Article

Summary

MiroFlow is an innovative open-source agent framework designed to enhance the performance and robustness of large language models in complex tasks requiring external tool interaction.

Why It Matters

As AI continues to evolve, MiroFlow addresses the limitations of current agent frameworks by providing a more flexible and stable solution for researchers. Its open-source nature promotes accessibility and reproducibility, essential for advancing AI research and applications.

Key Takeaways

  • MiroFlow improves model autonomy through flexible orchestration and deep reasoning capabilities.
  • The framework demonstrates state-of-the-art performance across multiple benchmarks.
  • It aims to provide a reproducible baseline for the deep research community.

Computer Science > Artificial Intelligence arXiv:2602.22808 (cs) [Submitted on 26 Feb 2026] Title:MiroFlow: Towards High-Performance and Robust Open-Source Agent Framework for General Deep Research Tasks Authors:Shiqian Su, Sen Xing, Xuan Dong, Muyan Zhong, Bin Wang, Xizhou Zhu, Yuntao Chen, Wenhai Wang, Yue Deng, Pengxiang Zhu, Ziyuan Liu, Tiantong Li, Jiaheng Yu, Zhe Chen, Lidong Bing, Jifeng Dai View a PDF of the paper titled MiroFlow: Towards High-Performance and Robust Open-Source Agent Framework for General Deep Research Tasks, by Shiqian Su and 15 other authors View PDF HTML (experimental) Abstract:Despite the remarkable progress of large language models (LLMs), the capabilities of standalone LLMs have begun to plateau when tackling real-world, complex tasks that require interaction with external tools and dynamic environments. Although recent agent frameworks aim to enhance model autonomy through tool integration and external interaction, they still suffer from naive workflows, unstable performance, limited support across diverse benchmarks and tasks, and heavy reliance on costly commercial APIs. In this work, we propose a high-performance and robust open-source agent framework, termed MiroFlow, which incorporates an agent graph for flexible orchestration, an optional deep reasoning mode to enhance performance, and a robust workflow execution to ensure stable and reproducible performance. Extensive experiments demonstrate that MiroFlow consistently achieves state-o...

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