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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.09292 |
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| _version_ | 1866912582878625792 |
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| author | Cai, Weige Zhu, Tong Niu, Jinyi Hu, Ruiqi Li, Lingyao Wang, Tenglong Dai, Xiaowu Shen, Weining Zhang, Liwen |
| author_facet | Cai, Weige Zhu, Tong Niu, Jinyi Hu, Ruiqi Li, Lingyao Wang, Tenglong Dai, Xiaowu Shen, Weining Zhang, Liwen |
| contents | With the rapid advancement of large language models (LLMs), Multi-agent Systems (MAS) have achieved significant progress in various application scenarios. However, substantial challenges remain in designing versatile, robust, and efficient platforms for agent deployment. To address these limitations, we propose \textbf{LightAgent}, a lightweight yet powerful agentic framework, effectively resolving the trade-off between flexibility and simplicity found in existing frameworks. LightAgent integrates core functionalities such as Memory (mem0), Tools, and Tree of Thought (ToT), while maintaining an extremely lightweight structure. As a fully open-source solution, it seamlessly integrates with mainstream chat platforms, enabling developers to easily build self-learning agents. We have released LightAgent at \href{https://github.com/wxai-space/LightAgent}{https://github.com/wxai-space/LightAgent} |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_09292 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | LightAgent: Production-level Open-source Agentic AI Framework Cai, Weige Zhu, Tong Niu, Jinyi Hu, Ruiqi Li, Lingyao Wang, Tenglong Dai, Xiaowu Shen, Weining Zhang, Liwen Artificial Intelligence With the rapid advancement of large language models (LLMs), Multi-agent Systems (MAS) have achieved significant progress in various application scenarios. However, substantial challenges remain in designing versatile, robust, and efficient platforms for agent deployment. To address these limitations, we propose \textbf{LightAgent}, a lightweight yet powerful agentic framework, effectively resolving the trade-off between flexibility and simplicity found in existing frameworks. LightAgent integrates core functionalities such as Memory (mem0), Tools, and Tree of Thought (ToT), while maintaining an extremely lightweight structure. As a fully open-source solution, it seamlessly integrates with mainstream chat platforms, enabling developers to easily build self-learning agents. We have released LightAgent at \href{https://github.com/wxai-space/LightAgent}{https://github.com/wxai-space/LightAgent} |
| title | LightAgent: Production-level Open-source Agentic AI Framework |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2509.09292 |