Open Source AI Research Agent Workflow
A deep-reading research agent: parse the paper, map its argument, pull the evidence table, and hand back structured literature notes you can cite.
No credit card for free-tier templates · every node inspectable · export or fork at any time
中文What this workflow does
Upload paper → 5-node: full text → multi-dimension analysis → method comparison → citation extraction → citable notes. Rivals Scite $12/mo.
A structured reading note with method, contribution, limitations and a citable evidence table.
Pipeline breakdown
5 nodes, executed in order. Every step is white-box — inspect the model, the prompt and the intermediate payload.
- 01
PDFPlumber
Precision PDF extraction for columns, figures and inline tables
pdf→json - 02
LLM Reasoning
Large-language-model step that extracts, classifies, validates or writes structured output
json→json - 03
Pandas
Tabular compute — join, aggregate, validate and reshape the extracted records
json→json - 04
LLM Reasoning
Large-language-model step that extracts, classifies, validates or writes structured output
json→json - 05
Python-DOCX
Renders the final Word document with headings, tables and styling
json→docx
Built for
文献综述写作
论文组会汇报
研究方向调研
毕业论文文献管理
FlowSync vs Scite / Elicit vs generic workflow builders
| FlowSync template | Scite / Elicit | n8n / Zapier / Make | |
|---|---|---|---|
| Time to first result | Minutes — pipeline pre-built | Minutes, single-purpose | Hours — you design the flow |
| Intelligence included | Prompts, validation, output schema tuned | Fixed product logic | None — you write it |
| Editable pipeline | Every node exposed | Closed product | Fully editable |
| Chainable with other AI skills | 5 skills here, 50+ available | Limited | Via API glue only |
| Output format | Business deliverable (Excel / DOCX / MP4) | Product-native export | JSON, then DIY |
The short version: workflow builders give you a canvas, point products give you one fixed answer. A FlowSync template gives you a working pipeline you can still open up and change.
Field notes
Scite $12/月只能看引用上下文。FlowSync 免费版给出完整分析+方法对比矩阵+引文链，写文献综述太高效了。
让学生用这个整理文献，组会汇报质量明显提升。输出的笔记直接能写进论文。
FAQ
Is the Academic paper deep reading & notes template free to run?
Yes. This template is on the free tier — create an account and run it without a card. Usage limits apply to concurrent runs, not to the template itself.
How is this different from building the same flow in n8n or Zapier?
5 pre-configured nodes (PDFPlumber → LLM Reasoning → Pandas → LLM Reasoning → Python-DOCX) with prompts, validation and output formatting already tuned for the task. You import it and get the deliverable, not a blank canvas.
Can I edit the pipeline or swap a node?
Yes. Every node is exposed in the editor — change the model, rewrite a prompt, insert or remove a step, then save it as your own private template. Nothing is a black box.
What do I actually get back?
A structured reading note with method, contribution, limitations and a citable evidence table.
What happens to the files I upload?
论文内容仅在处理时加载到内存。不保留论文副本。生成的笔记仅保存在您的账户。学术内容的知识产权归属于原作者。
Data handling
论文内容仅在处理时加载到内存。不保留论文副本。生成的笔记仅保存在您的账户。学术内容的知识产权归属于原作者。
中文说明 · 学术论文深度精读文献笔记（对标 Scite）
学术论文深度精读文献笔记（对标 Scite）（学术 · 免费）
上传论文 PDF → 5 节点：全文提取 → 多维分析 → 方法对比 → 引文提取 → 可引用笔记。对标 Scite $12/月。
管线共 5 个节点：PDFPlumber → LLM Reasoning → Pandas → LLM Reasoning → Python-DOCX。每个节点均可在编辑器中查看与修改，支持另存为你自己的私有模板。
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Open →Run it, then make it yours
Import the pipeline, swap a model, rewrite a prompt, save it private. FlowSync is the execution layer — the template is just the starting point.