market-research

DeepPaperNote: Fast Research Notes

Name: DeepPaperNote: Fast Research Notes
Author: 917Dhj

Generate high-quality research notes with DeepPaperNote. For founders researching with paper-intensive workflows.

545 stars37 forksPythonHealth Score 8/10Updated 7/25/2026100% free · open source

What it does

DeepPaperNote generates high-quality Obsidian-style research notes by deep-reading a single paper, integrating with various AI tools like Claude Code and Codex.

Install / run

Clone the repository from GitHub using `git clone https://github.com/917Dhj/DeepPaperNote.git`

When to use it

•You need to summarize complex research papers efficiently
•You're looking to organize notes from a paper in a structured, Obsidian-compatible format
•You want to leverage AI for in-depth paper analysis without manually processing the content

Quick start

1Navigate into the cloned repository with `cd DeepPaperNote`
2Review and configure the settings as necessary, potentially editing files like `config.json` or `paper.md`
3Run the script to generate notes using a command like `python deep_paper_note.py -i paper.pdf -o notes.md` (adjusting file names and paths as needed)
4Integrate with other tools like Claude Code by following the instructions in the README for using `Claude Code` or other compatible agents
5Review the generated notes in an Obsidian-compatible format, further organizing or linking them as needed

Ready-to-paste prompt

To generate notes for a paper named `example_paper.pdf`, you could use a command like `python deep_paper_note.py -i example_paper.pdf -o example_notes.md --agent ClaudeCode`

Heads up: Ensure you have Python installed and properly configured on your system, as DeepPaperNote is a Python script and relies on Python to run successfully

Saves to your device

Topics

agent-skills

claude-code

codex

copilot

cursor

gemini-cli

markdown

obsidian

paper-reading

research-notes

zotero

How DeepPaperNote: Fast Research Notes works

Codeflow

Free to inspect

DeepPaperNote: Fast Research Notes is a large Python project (~17k lines across 34 code files, plus 31 test files). You install it into your AI tool with one command; there is nothing to run yourself. Last commit this month, MIT license, has a test suite.

Size

Large codebase

~17k lines · 34 code files · ~2 h to skim

Setup

Install as a skill / plugin

Add it to Claude Code (or your AI tool) with one command — 2 skills inside. Nothing to run yourself.

Runs on

Inside your AI tool

Helper scripts use Python

Python 100%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
AGENTS.md
The instructions the AI actually follows
3
skills/deeppapernote/SKILL.md
Inside skills/ — an example of what the AI is told to do

What's in each folder

skills/Prompts, skills & agent definitions59 files

evals/Evaluations & benchmarks4 files

.claude-plugin/Plugin manifest — what gets installed1 files

.codex-plugin/Plugin manifest — what gets installed1 files

scripts/Helper scripts1 files

tests/Tests — proof it works23 files

assets/Images & static assets4 files

.github/CI / automation (GitHub Actions)2 files

READMEHas testsDocumentedCI checksMIT licenseUpdated this month

Quick Actions

Details