Tswoen/Paper-Agent

Paper-Agent 是一个面向科研人员和学生的智能论文检索与调研工具。项目基于多智能体协作架构(AutoGen + LangGraph),通过自然语言处理(NLP)、自动化搜索和知识库构建,帮助用户高效查找学术论文、分析文献内容,并进行论文调研。Paper-Agent 支持多平台集成、关键词搜索、自动分析、论文调研,提升了学术研究的效率。适用于论文写作、学术调研、科研项目管理等多种场景,是学术调研的理想助手。

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Emerging

Implements a complete retrieval-reading-analysis-synthesis workflow orchestrated through LangGraph nodes, where specialized agents (clustering, deep analysis, writing, retrieval) operate on extracted paper metadata stored in ChromaDB vectors. Features real-time SSE streaming for progress updates and parallel processing across paper reading, cluster analysis, and multi-agent chapter writing, with user review checkpoints at query formulation and content approval stages.

No Package No Dependents
Maintenance 10 / 25
Adoption 8 / 25
Maturity 15 / 25
Community 11 / 25

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Stars

64

Forks

7

Language

Python

License

MIT

Last pushed

Mar 04, 2026

Commits (30d)

0

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